# Best AI Code Generation Software ## How Many AI Code Generation Software Products Does G2 Track? **Total Products under this Category:** 120 ### Category Stats (Jul 2026) - **Average Rating:** 4.45/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Genspark AI (+9.51%) - Among all products in this category, Genspark AI recorded the largest rating increase compared to last month _Last updated: July 31, 2026_ ## How Does G2 Rank AI Code Generation Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 6,800+ Authentic Reviews - 120+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for AI Code Generation Software ![G2 Grid® for AI Code Generation Software plotting products by satisfaction and market presence](https://www.g2.com/categories/ai-code-generation/grids.png?focus%5B%5D=1251865&focus%5B%5D=1439871&focus%5B%5D=1579500&focus%5B%5D=1292770&focus%5B%5D=1332376&focus%5B%5D=1305807&focus%5B%5D=1320250&focus%5B%5D=1305796) Highlighted products: ChatGPT, Cursor, Claude, GitHub Copilot, Gemini, Replit, Gemini Code Assist, and Amazon Q Developer. Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-code-generation/grids.json?focus%5B%5D=chatgpt&focus%5B%5D=cursor&focus%5B%5D=claude-2025-12-11&focus%5B%5D=github-copilot&focus%5B%5D=google-gemini&focus%5B%5D=replit&focus%5B%5D=gemini-code-assist&focus%5B%5D=amazon-q-developer) **Sponsored** ### Gemini Enterprise Agent Platform Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1005889&secure%5Bchosen_at%5D=2026-07-31T15%3A02%3A08Z&secure%5Bdisplayable_resource_id%5D=1005889&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1005889&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=21469&secure%5Bresource_id%5D=1005889&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fai-code-generation&secure%5Btoken%5D=10003e0f1a0457de8e995fbb1cacd0d4431dd9233d1e421b00cdce28b540ec99&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fproducts%2Fgemini-enterprise-agent-platform%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-geap%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url) ### [ChatGPT](https://www.g2.com/products/chatgpt/reviews) ChatGPT is an advanced AI language model developed by OpenAI, designed to assist users in generating human-like text based on the input it receives. It serves as a versatile tool for a wide range of applications, including drafting emails, writing code, creating content, and providing detailed explanations on various topics. ChatGPT is continually evolving to enhance user experience and meet diverse needs. Key Features and Functionality: - Natural Language Understanding: ChatGPT can comprehend and generate text that closely resembles human conversation, making interactions intuitive and engaging. - Versatile Applications: It supports tasks such as content creation, coding assistance, learning new concepts, and more, catering to both personal and professional use cases. - Continuous Improvement: OpenAI regularly updates ChatGPT to improve its performance, accuracy, and safety, ensuring it remains a reliable tool for users. Primary Value and User Solutions: ChatGPT addresses the need for efficient and accessible assistance in various domains. By leveraging its advanced language processing capabilities, it helps users save time, enhance productivity, and access information seamlessly. Whether it's drafting documents, learning new subjects, or automating routine tasks, ChatGPT provides a valuable resource that adapts to individual requirements, making it an indispensable tool in today's digital landscape. **Average Rating:** 4.6/5.0 **Total Reviews:** 2,707 #### How Do G2 Users Rate ChatGPT? - **Code quality:** 8.7/10 (Category avg: 8.7/10) - **Ease of Use:** 9.5/10 (Category avg: 9.0/10) #### Who Is the Company Behind ChatGPT? - **Seller:** [OpenAI](https://www.g2.com/sellers/openai) - **Year Founded:** 2015 - **HQ Location:** San Francisco, CA - **Twitter:** @OpenAI 4,941,980 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ecd1d449cf2e9761bb2e5b1f1675e8d4421cefb5efd4c38e1b88c4215c445d8e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fopenai%2F&secure%5Burl_type%5D=linkedin_company_website) 8,807 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Student, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 54% Small, 28% Medium #### What Do G2 Reviewers Say About ChatGPT? _AI-generated summary from verified user reviews_ ##### Pros - Users find ChatGPT's **ease of use** refreshing, streamlining complex tasks and enhancing daily productivity effortlessly. - Users love the **quick and conversational responses** from ChatGPT, making information access seamless and efficient. - Users find ChatGPT to be a **helpful creative assistant** , enhancing productivity with fresh ideas and effective solutions. - Users value the **time-saving capabilities** of ChatGPT, enhancing productivity and streamlining workflows across diverse tasks. - Users find that ChatGPT's **time-saving capabilities** streamline their workflows, enhancing creativity and productivity in design tasks. ##### Cons - Users note the **limitations in accuracy and source referencing** of ChatGPT, requiring occasional verification with external tools. - Users find the **context understanding** of ChatGPT lacking, leading to confusion and repetition during conversations. - Users are frustrated by the **limited context window** in ChatGPT, hindering its ability to process extensive inputs effectively. - Users experience **inaccuracy** in ChatGPT, noting repetitive responses and occasional poor understanding of complex topics. - Users face **inaccurate responses** from ChatGPT, often requiring rephrasing for better context and clarity in answers. #### What Are Recent G2 Reviews of ChatGPT? **["My go-to tool for writing and learning"](https://www.g2.com/survey_responses/chatgpt-review-13189418)** **Rating:** 5.0/5.0 stars _— Alyssa K._ [Read full review](https://www.g2.com/survey_responses/chatgpt-review-13189418) **["Incredibly Versatile: Voice Mode, Long-Context Memory, and Custom GPTs That Deliver"](https://www.g2.com/survey_responses/chatgpt-review-13188357)** **Rating:** 4.5/5.0 stars _— Chanchal R._ [Read full review](https://www.g2.com/survey_responses/chatgpt-review-13188357) #### What Are G2 Users Discussing About ChatGPT? - [GPT-4.5 What is your opinion?](https://www.g2.com/discussions/gpt-4-5-what-is-your-opinion) - 6 comments, 2 upvotes ### [Cursor](https://www.g2.com/fr/products/cursor/reviews) Cursor est une plateforme de codage agentique pour les entreprises développant des logiciels ambitieux. Avec l'accès à des modèles de pointe, les développeurs peuvent se concentrer sur des orientations de haut niveau, tandis que les agents gèrent la mise en œuvre et la révision du code. Utilisé par 64 % des entreprises du Fortune 500, Cursor accélère le développement logiciel sans compromettre la qualité, le contrôle ou la sécurité. Caractéristiques clés et fonctionnalités : - Flux de travail de développement agentique : Cursor aide les développeurs à déléguer les tâches de codage aux agents tout en gardant le contrôle de l'orientation, de la révision et de l'itération. Les équipes peuvent utiliser Cursor sur le bureau, le CLI, le web et le mobile pour un flux de travail cohérent où qu'elles travaillent. - Agents Cloud : Cursor prend en charge les agents basés sur le cloud pour des tâches de développement plus longues et plus évolutives. Les récentes mises à jour de l'API des Agents Cloud ont ajouté des agents durables, des suivis à portée d'exécution, du streaming, des annulations et des contrôles de cycle de vie plus clairs pour gérer le travail des agents dans le cloud. - Révision de code et exécution parallèle : Les dernières versions ont introduit une nouvelle expérience de révision de PR avec des fils de discussion de révision en ligne, un historique des commits et un sélecteur de modifications de l'arborescence des fichiers, ainsi que la prise en charge de la construction en parallèle et de la division du travail en PR révisables automatiquement. - Prédiction de la prochaine action : Cursor Tab fournit une complétion de code rapide et contextuelle qui prédit la prochaine action, suggère des modifications multi-lignes et aide les développeurs à avancer dans les tâches de codage routinières avec moins d'effort manuel. - Visibilité et contrôle du contexte : Context Usage Breakdown donne aux développeurs une visibilité sur la façon dont le contexte des agents est utilisé à travers les règles, les compétences, les MCP et les sous-agents, facilitant ainsi le diagnostic des problèmes et l'amélioration de la qualité de la configuration. - Contrôles administratifs et analyses d'entreprise : Cursor inclut des contrôles d'accès aux modèles plus granulaires, une gestion des dépenses mise à jour avec des limites souples et des alertes intelligentes, et des analyses d'utilisation qui peuvent être filtrées par utilisateur et décomposées par surface de produit. - Révision de sécurité : Cursor Security Review ajoute des agents de sécurité toujours actifs pour la révision de PR et l'analyse de la base de code. Ces agents peuvent identifier les vulnérabilités, les régressions d'authentification, les risques de confidentialité et de gestion des données, les dépendances obsolètes et les problèmes de configuration, tout en s'intégrant aux outils de sécurité existants. - Extensions personnalisées et distribution d'équipe : Team Marketplace facilite la distribution et la gestion des plugins qui regroupent les serveurs MCP, les compétences, les sous-agents, les règles et les hooks, aidant à standardiser la façon dont les équipes étendent Cursor. - Automatisation programmable avec le SDK Cursor : Le SDK Cursor permet aux équipes de créer des agents programmatiques avec le même runtime, harnais et modèles qui alimentent Cursor, étendant les flux de travail des agents au-delà de l'IDE vers des automatisations personnalisées et des outils internes. Valeur principale et solutions utilisateur : Cursor aide les organisations d'ingénierie à accélérer le développement logiciel sans compromettre la qualité, le contrôle ou la sécurité. Il offre aux développeurs un moyen plus rapide d'écrire, de réviser et d'améliorer le code, tout en donnant aux leaders de la plateforme et de l'ingénierie la visibilité et la gouvernance dont ils ont besoin pour gérer l'utilisation à grande échelle. En combinant le développement agentique, l'exécution dans le cloud, les contrôles d'entreprise, l'extensibilité et les capacités de sécurité intégrées, Cursor soutient les équipes qui souhaitent livrer des logiciels ambitieux plus efficacement et avec plus de confiance. **Average Rating:** 4.6/5.0 **Total Reviews:** 307 #### How Do G2 Users Rate Cursor? - **Qualité du code:** 8.5/10 (Category avg: 8.7/10) - **Facilité d’utilisation:** 9.2/10 (Category avg: 9.0/10) #### Who Is the Company Behind Cursor? - **Vendeur:** [Cursor](https://www.g2.com/fr/sellers/cursor) - **Site Web de l'entreprise:** www.cursor.com - **Année de fondation:** 2022 - **Emplacement du siège social:** San Francisco, California - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9bdb2292b069e6e7ed5d7824829598742c3078ec6539216e1e3014a958031cf5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcursorai%2F&secure%5Burl_type%5D=linkedin_company_website) 1,121 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingénieur logiciel, Développeur de logiciels - **Top Industries:** Logiciels informatiques, Technologie de l'information et services - **Company Size:** 70% Small, 19% Medium #### What Do G2 Reviewers Say About Cursor? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs adorent la **facilité d'utilisation** de Cursor, bénéficiant de suggestions intelligentes et d'une édition multi-fichiers fluide. - Les utilisateurs louent **l'Assistance au Codage** dans Cursor pour sa conscience contextuelle intelligente et ses capacités efficaces d'édition multi-fichiers. - Les utilisateurs adorent les **suggestions intelligentes alimentées par l'IA** qui améliorent l'efficacité du codage et simplifient les tâches complexes sans effort. - Les utilisateurs adorent les **suggestions rapides et contextuelles** de Cursor, rendant le codage et le débogage considérablement plus rapides et plus efficaces. - Les utilisateurs apprécient les capacités **intelligentes de résolution de problèmes** de Cursor, qui améliorent l'efficacité du codage et facilitent l'apprentissage de manière efficace. ##### Cons - Les utilisateurs sont souvent confrontés à des **défis de codage médiocres** avec Cursor, nécessitant un examen attentif en raison des inexactitudes et de la complexité du code généré. - Les utilisateurs trouvent que Cursor est quelque peu **cher** , surtout avec des coûts supplémentaires pour les fonctionnalités avancées et les limites augmentées. - Les utilisateurs signalent **des inexactitudes dans les suggestions** de Cursor, en particulier dans des scénarios complexes, affectant la fiabilité globale. - Les utilisateurs rencontrent une **performance lente** avec Cursor sur des projets plus importants, ce qui affecte l'efficacité et le flux de travail pendant l'utilisation. - Les utilisateurs trouvent que les **mauvaises suggestions** de Cursor perturbent les flux de travail avec des réponses d'IA hors cible et trop complexes pour des tâches de codage spécialisées. #### What Are Recent G2 Reviews of Cursor? **["Interface utilisateur simple et aide au codage IA incroyable pour créer des sites web"](https://www.g2.com/fr/survey_responses/cursor-review-13067732)** **Rating:** 5.0/5.0 stars _— Tejas G._ [Read full review](https://www.g2.com/fr/survey_responses/cursor-review-13067732) **["Une IA qui s'intègre réellement dans le flux de développement"](https://www.g2.com/fr/survey_responses/cursor-review-13188498)** **Rating:** 4.0/5.0 stars _— Hitarth Anand R._ [Read full review](https://www.g2.com/fr/survey_responses/cursor-review-13188498) ### [Claude](https://www.g2.com/fr/products/claude-2025-12-11/reviews) Claude est un modèle de langage de grande envergure (LLM) à la pointe de la technologie, développé par Anthropic, conçu pour servir de manière utile, honnête et inoffensive en tant qu'assistant IA. Avec ses capacités de raisonnement avancées et son ton conversationnel, Claude excelle dans des tâches allant de la programmation complexe à l'analyse financière approfondie, en faisant un outil polyvalent pour les développeurs, les entreprises et les professionnels de la finance. Caractéristiques clés et fonctionnalités : - Capacités de programmation avancées : Claude Opus 4 est leader en performance de codage, obtenant des scores élevés sur des benchmarks comme SWE-bench et Terminal-bench. Il prend en charge des tâches soutenues et de longue durée, permettant un travail continu pendant plusieurs heures, ce qui est idéal pour des projets de développement logiciel complexes. - Outils d'analyse financière : Claude s'intègre parfaitement avec des plateformes de données financières telles que Databricks et Snowflake, fournissant une interface unifiée pour l'analyse de marché, la recherche et la prise de décision en matière d'investissement. Il offre des hyperliens directs vers les matériaux sources pour une vérification instantanée, améliorant l'efficacité des flux de travail financiers. - Fenêtres de contexte étendues : Avec une fenêtre de contexte améliorée de 500k disponible dans Claude Sonnet 4, les utilisateurs peuvent télécharger des documents volumineux, y compris des centaines de transcriptions de ventes ou de grandes bases de code, facilitant une analyse et une collaboration complètes. - Utilisation et intégration d'outils : Les capacités de réflexion étendues de Claude lui permettent d'utiliser des outils comme la recherche sur le web pendant les processus de raisonnement, améliorant la précision des réponses. Il prend également en charge les tâches en arrière-plan via GitHub Actions et s'intègre nativement avec des environnements de développement comme VS Code et JetBrains pour une programmation en binôme sans faille. - Sécurité de niveau entreprise : Le plan Claude Enterprise offre des fonctionnalités de sécurité avancées, y compris l'authentification unique (SSO), le provisionnement juste-à-temps (JIT), des permissions basées sur les rôles, des journaux d'audit et des contrôles de rétention de données personnalisés, garantissant la sécurité des données et la conformité pour les organisations. Valeur principale et solutions pour les utilisateurs : Claude répond au besoin d'un assistant IA fiable et intelligent capable de gérer des tâches complexes dans divers domaines. Pour les développeurs, il améliore la productivité grâce à un support de codage avancé et à l'intégration avec des outils de développement. Les professionnels de la finance bénéficient de sa capacité à unifier et analyser des sources de données diverses, rationalisant les processus de recherche et de prise de décision. Les entreprises profitent de ses solutions évolutives et de ses fonctionnalités de sécurité robustes, permettant un déploiement efficace et sécurisé des capacités d'IA au sein de leurs opérations. Dans l'ensemble, Claude permet aux utilisateurs d'atteindre une plus grande efficacité, précision et innovation dans leurs domaines respectifs. **Average Rating:** 4.6/5.0 **Total Reviews:** 405 #### How Do G2 Users Rate Claude? - **Qualité du code:** 8.7/10 (Category avg: 8.7/10) - **Facilité d’utilisation:** 9.2/10 (Category avg: 9.0/10) #### Who Is the Company Behind Claude? - **Vendeur:** [Anthropic](https://www.g2.com/fr/sellers/anthropic-b3e27488-b6f4-49c9-a8c7-d860a4207ff3) - **Emplacement du siège social:** San Francisco, California - **Twitter:** @AnthropicAI 1,440,248 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f77a1b8402d5e638c3ef9380f68189346d52f732c0a71bc7354dd50d5f3763e8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fanthropicresearch%2F&secure%5Burl_type%5D=linkedin_company_website) 5,178 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingénieur logiciel, Analyste de données - **Top Industries:** Logiciels informatiques, Technologie de l'information et services - **Company Size:** 52% Small, 34% Medium #### What Do G2 Reviewers Say About Claude? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient la **facilité d'utilisation** de Claude, leur permettant de créer facilement un contenu éducatif clair et structuré. - Les utilisateurs louent Claude pour sa **capacité à maintenir des discussions longues et profondes** , enrichissant ainsi leurs projets intellectuels et créatifs. - Les utilisateurs trouvent Claude **exceptionnellement utile** pour des discussions approfondies et pour gérer efficacement diverses tâches intellectuelles. - Les utilisateurs apprécient les **résultats précis** fournis par Claude, améliorant ainsi leur efficacité et leur expérience avec l'outil. - Les utilisateurs apprécient la **communication claire et structurée** de Claude, ce qui améliore leur capacité à éduquer et informer efficacement. ##### Cons - Les utilisateurs trouvent les **limitations d'utilisation** frustrantes, surtout avec les restrictions d'accès et les performances incohérentes qui impactent leur expérience. - Les utilisateurs trouvent que Claude a **des limitations significatives** dans le support de contenu visuel, l'intégration et la réactivité, ce qui affecte l'efficacité et la créativité. - Les utilisateurs trouvent que la **fonctionnalité limitée** de Claude est restrictive, en particulier en ce qui concerne le support de contenu visuel et la vitesse de recherche. - Les utilisateurs trouvent que Claude est trop prudent et **lent à répondre** , ce qui peut entraver une communication rapide et efficace. - Les utilisateurs expriment leur inquiétude concernant les **limitations de ressources** telles que l'utilisation de jetons et les plafonds de recherche, affectant significativement la productivité. #### What Are Recent G2 Reviews of Claude? **["L'impressionnant codage et raisonnement de Claude—Un véritable gain de temps pour les ingénieurs"](https://www.g2.com/fr/survey_responses/claude-review-13166368)** **Rating:** 4.0/5.0 stars _— Darshil M._ [Read full review](https://www.g2.com/fr/survey_responses/claude-review-13166368) **["Raisonnement exceptionnel à long contexte qui stimule la productivité"](https://www.g2.com/fr/survey_responses/claude-review-13069341)** **Rating:** 5.0/5.0 stars _— Supriya S._ [Read full review](https://www.g2.com/fr/survey_responses/claude-review-13069341) ### [GitHub Copilot](https://www.g2.com/fr/products/github-copilot/reviews) GitHub Copilot aide plus de 1 million de développeurs et plus de 20 000 entreprises à repousser les limites du possible dans le développement logiciel. Basé sur des modèles LLM puissants, y compris les modèles GPT d'OpenAI, ce programmeur en binôme IA aide les développeurs à écrire du code plus rapidement et avec moins d'effort en tirant parti du contexte des commentaires et du code pour suggérer instantanément des lignes individuelles et des fonctions entières. Toutes les langues sont prises en charge, cependant plus une langue est courante, mieux elle sera représentée dans les données d'entraînement et plus les suggestions seront robustes. **Average Rating:** 4.4/5.0 **Total Reviews:** 374 #### How Do G2 Users Rate GitHub Copilot? - **Qualité du code:** 8.7/10 (Category avg: 8.7/10) - **Facilité d’utilisation:** 9.2/10 (Category avg: 9.0/10) #### Who Is the Company Behind GitHub Copilot? - **Vendeur:** [GitHub](https://www.g2.com/fr/sellers/github) - **Année de fondation:** 2008 - **Emplacement du siège social:** San Francisco, CA - **Twitter:** @github 2,673,925 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c06a67fd698737e0e0058dd8a6726d5e9af42b7ce88417153ae8028eed3914af&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1418841%2F&secure%5Burl_type%5D=linkedin_company_website) 6,106 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingénieur logiciel, Ingénieur Logiciel Senior - **Top Industries:** Logiciels informatiques, Technologie de l'information et services - **Company Size:** 36% Small, 32% Medium #### What Do G2 Reviewers Say About GitHub Copilot? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient la **facilité d'utilisation** de GitHub Copilot, s'intégrant parfaitement dans leur flux de travail de codage et améliorant la productivité. - Les utilisateurs apprécient l' **assistance de codage fluide** de GitHub Copilot, qui améliore la productivité et soutient l'apprentissage des nouveaux programmeurs. - Les utilisateurs apprécient comment GitHub Copilot améliore considérablement **la productivité en générant du code pertinent et des suggestions en temps réel**. - Les utilisateurs apprécient les **capacités efficaces de résolution de problèmes** de GitHub Copilot, fournissant des solutions rapides et des suggestions de codage intelligentes. - Les utilisateurs apprécient l' **efficacité** de GitHub Copilot pour réduire les erreurs et simplifier le processus de codage. ##### Cons - Les utilisateurs constatent que **une précision de codage médiocre** peut entraîner des suggestions peu utiles et des expériences de génération de code incohérentes. - Les utilisateurs constatent que les **mauvaises suggestions** de GitHub Copilot peuvent entraîner des inexactitudes et nécessitent un examen attentif avant utilisation. - Les utilisateurs trouvent GitHub Copilot **cher** , ce qui peut être un obstacle pour les étudiants et les nouveaux développeurs à accéder à ses fonctionnalités. - Les utilisateurs rencontrent souvent des **problèmes d'inexactitude** avec GitHub Copilot, ce qui entraîne des erreurs et des temps de révision accrus pour les solutions. - Les utilisateurs rencontrent des **problèmes de compréhension du contexte** avec GitHub Copilot, ce qui entraîne de la confusion et des inefficacités dans les tâches de codage. #### What Are Recent G2 Reviews of GitHub Copilot? **["Un compagnon mobile très productif pour la gestion des dépôts et le brainstorming de la logique du code"](https://www.g2.com/fr/survey_responses/github-copilot-review-13138457)** **Rating:** 4.0/5.0 stars _— Chandra K._ [Read full review](https://www.g2.com/fr/survey_responses/github-copilot-review-13138457) **["GitHub Copilot augmente la productivité avec des suggestions de code contextuelles"](https://www.g2.com/fr/survey_responses/github-copilot-review-13076939)** **Rating:** 5.0/5.0 stars _— Ashish R._ [Read full review](https://www.g2.com/fr/survey_responses/github-copilot-review-13076939) ### [Gemini](https://www.g2.com/products/google-gemini/reviews) Gemini is a family of multimodal, generative AI models. These models were developed by Google DeepMind and Google Research. They are designed to understand, operate across, and combine different types of information. This includes text, images, audio, video, and code. Gemini serves as a versatile, everyday AI assistant and powers a conversational chatbot. Key Product Features & Capabilities Multimodal Understanding: Gemini understands and combines text, images, audio, video, and code. It can analyze complex documents, code repositories, and long videos. Conversational AI: Gemini allows for natural conversations. It functions as an intelligent assistant that can brainstorm, plan, and discuss topics. Deep Research & Analysis: Gemini can analyze websites and user files to generate reports. It can also create audio overviews of the information. Agentic Capabilities: Users can create custom "Gems" (specialized AI experts). The models can act as agents to take actions in tools like Chrome. Integrated Productivity: Gemini is integrated into Gmail, Google Docs, Drive, and Meet. This helps summarize, write, edit, and organize information. Creative Tools: Features include image generation and video creation, enabling the generation of 8-second videos with sound. Long Context Window: High-end models feature up to a 1 million-token context window. This is capable of analyzing large amounts of data. **Average Rating:** 4.4/5.0 **Total Reviews:** 364 #### How Do G2 Users Rate Gemini? - **Code quality:** 8.2/10 (Category avg: 8.7/10) - **Ease of Use:** 9.2/10 (Category avg: 9.0/10) #### Who Is the Company Behind Gemini? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Software Engineer, Research Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 49% Small, 30% Medium #### What Do G2 Reviewers Say About Gemini? _AI-generated summary from verified user reviews_ ##### Pros - Users commend Gemini for its **ease of use** , enabling smooth operations and efficient documentation and problem-solving. - Users find Gemini's **usefulness for brainstorming and summarizing** notes exceptional, making it a go-to for quick answers. - Users love Gemini for its **helpfulness** in email creation, brainstorming, and simplifying data analysis tasks. - Users value the **seamless content creation** capabilities of Gemini, allowing for diverse and impressive visual outputs. - Users love the **speed** of Gemini, delivering creative suggestions and solutions in mere seconds. ##### Cons - Users find Gemini's **limitations in accuracy and responsiveness** frustrating, often preferring alternatives for concise answers. - Users find the **inaccuracy** in image generation and data problematic, affecting trust and usability significantly. - Users find **usage limitations** in Gemini, particularly in terms of context awareness and integration capabilities. - Users are frustrated by Gemini's **technical issues** , including inaccurate responses and unreliable code generation, affecting usability. - Users find that Gemini has a **limited ability to understand context** , resulting in generic responses and missed nuances. #### What Are Recent G2 Reviews of Gemini? **["Powerful Multimodal AI with Seamless Google Integration"](https://www.g2.com/survey_responses/gemini-review-13123392)** **Rating:** 4.0/5.0 stars _— Himanshu G._ [Read full review](https://www.g2.com/survey_responses/gemini-review-13123392) **["Fast, Simple, and Reliable for Everyday Answers"](https://www.g2.com/survey_responses/gemini-review-13170999)** **Rating:** 4.5/5.0 stars _— Amit C._ [Read full review](https://www.g2.com/survey_responses/gemini-review-13170999) ### [Replit](https://www.g2.com/fr/products/replit/reviews) Replit transforme vos idées en applications, rapidement. Avec Replit, n'importe qui—technique ou non-technique—peut créer et déployer des applications entièrement fonctionnelles et full-stack directement depuis leur navigateur, sans aucune installation, configuration ou paramétrage. L'Agent et l'Assistant de Replit vous permettent de créer des applications entières à partir du langage naturel, transformant des points clés en applications fonctionnelles en quelques minutes. Ses outils intégrés, y compris les bases de données et les fonctionnalités de déploiement, vous permettent de lancer en un seul clic. Replit comble le fossé entre les utilisateurs non-techniques et techniques, favorisant la collaboration pour tout, des feuilles de route de produits et prototypes aux API personnalisées et outils internes. Replit permet à tout le monde de ne pas seulement consommer des logiciels mais de les créer, transformant le développement d'applications en un processus accessible, instantané et impactant. Passer de 'pourquoi cette application n'existe-t-elle pas ?' à la construire pour vous-même. **Average Rating:** 4.5/5.0 **Total Reviews:** 397 #### How Do G2 Users Rate Replit? - **Qualité du code:** 7.9/10 (Category avg: 8.7/10) - **Facilité d’utilisation:** 8.9/10 (Category avg: 9.0/10) #### Who Is the Company Behind Replit? - **Vendeur:** [Replit](https://www.g2.com/fr/sellers/replit) - **Année de fondation:** 2016 - **Emplacement du siège social:** San Francisco, US - **Twitter:** @Replit 234,474 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=17f5b5008fb2b84ef743fdad87fe673f616078933e0679c4cae52958a8096fed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frepl-it%2F&secure%5Burl_type%5D=linkedin_company_website) 516 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Fondateur, PDG - **Top Industries:** Logiciels informatiques, Technologie de l'information et services - **Company Size:** 66% Small, 12% Medium #### What Do G2 Reviewers Say About Replit? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs trouvent la **facilité d'utilisation** de Replit inestimable, permettant un prototypage et un déploiement sans effort d'applications sophistiquées. - Les utilisateurs apprécient Replit pour ses capacités de **codage et d'exécution instantanés** , améliorant le prototypage et le développement collaboratif rapidement. - Les utilisateurs louent la **facilité d'implémentation** de Replit, saluant sa configuration conviviale pour créer des applications sans effort. - Les utilisateurs apprécient les **fonctionnalités qui font gagner du temps** de Replit, permettant un prototypage rapide et un déploiement fluide des applications. - Les utilisateurs trouvent **l'assistance au codage de Replit inestimable** , permettant un développement de projet sans effort et améliorant les compétences en codage pour les débutants et les professionnels. ##### Cons - Les utilisateurs trouvent Replit **cher** en raison de la tarification confuse, des frais inattendus et des difficultés à estimer les coûts des projets. - Les utilisateurs expriment leur frustration face à la **déplétion rapide des crédits** , rendant la gestion des coûts et la transparence de l'utilisation un défi. - Les utilisateurs rencontrent un **codage médiocre** avec Replit, ce qui entraîne un gaspillage de ressources et des erreurs frustrantes dans les projets complexes. - Les utilisateurs rencontrent une **fiabilité du système** avec Replit, faisant face à des problèmes tels que des boucles chronophages et des fonctionnalités défaillantes pendant les projets. - Les utilisateurs rencontrent une **performance lente** avec Replit, en particulier lors des modifications, ce qui peut entraver le développement et l'utilisabilité des projets. #### What Are Recent G2 Reviews of Replit? **["Développement Cloud Replit sans configuration qui rend le prototypage rapide comme l'éclair"](https://www.g2.com/fr/survey_responses/replit-review-13138653)** **Rating:** 4.5/5.0 stars _— Vaibhav T._ [Read full review](https://www.g2.com/fr/survey_responses/replit-review-13138653) **["Coder n'importe où : la révolution basée sur le navigateur."](https://www.g2.com/fr/survey_responses/replit-review-13164550)** **Rating:** 4.5/5.0 stars _— Arjun s._ [Read full review](https://www.g2.com/fr/survey_responses/replit-review-13164550) #### What Are G2 Users Discussing About Replit? - [Repl.it a-t-il une interface graphique ?](https://www.g2.com/fr/discussions/does-repl-it-have-gui) - 1 comment, 1 upvote - [What is REPL software?](https://www.g2.com/fr/discussions/what-is-repl-software) - 2 comments - [À quoi sert Repl.it ?](https://www.g2.com/fr/discussions/what-is-repl-it-good-for) - 2 comments ### [Gemini Code Assist](https://www.g2.com/it/products/gemini-code-assist/reviews) Gemini Code Assist è uno strumento di sviluppo alimentato dall'IA progettato per migliorare lo sviluppo software fornendo suggerimenti di codice intelligenti, automatizzando compiti ripetitivi e integrandosi perfettamente in vari ambienti di sviluppo. Sfrutta modelli avanzati di apprendimento automatico per comprendere contesti specifici aziendali, consentendo agli sviluppatori di costruire API, integrazioni e flussi di automazione in modo più efficiente. Caratteristiche e Funzionalità Chiave: - Assistenza al Codice Alimentata dall'IA: Offre suggerimenti e completamenti di codice in tempo reale, aiutando gli sviluppatori a scrivere codice più velocemente e con meno errori. - Consapevolezza del Contesto Aziendale: Comprende gli standard di codifica organizzativi, gli schemi di sicurezza e i modelli API per fornire raccomandazioni su misura. - Integrazione con Ambienti di Sviluppo: Si integra perfettamente con IDE popolari come VS Code e IntelliJ, nonché con servizi Google Cloud come Apigee e Application Integration. - Personalizzazione del Codice: Fornisce suggerimenti di codice basati sui repository privati di un'organizzazione, allineandosi con stili di codifica interni e migliori pratiche. - Suggerimenti Proattivi: Analizza il codice per offrire ottimizzazioni e miglioramenti, come migliorare l'efficienza e la leggibilità del codice. Valore Primario e Problema Risolto: Gemini Code Assist affronta la complessità e la natura dispendiosa in termini di tempo dello sviluppo software moderno automatizzando i compiti di codifica di routine e fornendo suggerimenti intelligenti e consapevoli del contesto. Questo riduce la necessità di competenze specializzate, accelera i cicli di sviluppo e garantisce coerenza e qualità nei codici. Integrandosi con gli strumenti esistenti e comprendendo i requisiti specifici aziendali, consente agli sviluppatori di concentrarsi sulla risoluzione creativa dei problemi, portando a un tempo di immissione sul mercato più rapido e a un vantaggio competitivo. **Average Rating:** 4.3/5.0 **Total Reviews:** 71 #### How Do G2 Users Rate Gemini Code Assist? - **Qualità del codice:** 8.1/10 (Category avg: 8.7/10) - **Facilità d'uso:** 8.7/10 (Category avg: 9.0/10) #### Who Is the Company Behind Gemini Code Assist? - **Venditore:** [Google](https://www.g2.com/it/sellers/google) - **Anno di Fondazione:** 1998 - **Sede centrale:** Mountain View, CA - **Twitter:** @google 31,899,995 follower su Twitter - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 dipendenti su LinkedIn® - **Proprietà:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi - **Company Size:** 51% Small, 34% Medium #### What Do G2 Reviewers Say About Gemini Code Assist? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti apprezzano la **facilità d'uso** di Gemini Code Assist, poiché accelera significativamente il loro processo di sviluppo. - Gli utenti apprezzano Gemini Code Assist per la sua **chiarezza e velocità** , migliorando l'efficienza nelle attività di sviluppo e codifica. - Gli utenti apprezzano Gemini Code Assist per le sue capacità di **risoluzione efficiente dei problemi** , migliorando il flusso di lavoro e risparmiando tempo prezioso. - Gli utenti apprezzano le **facili integrazioni** di Gemini Code Assist, migliorando la loro esperienza di codifica attraverso vari IDE senza problemi. - Gli utenti apprezzano la **facilità di implementazione** di Gemini Code Assist, evidenziando la sua configurazione intuitiva e l'integrazione senza soluzione di continuità con l'IDE. ##### Cons - Gli utenti sperimentano **scarsa qualità del codice** con Gemini Code Assist a causa di imprecisioni e frequenti problemi di prestazioni. - Gli utenti riscontrano **problemi di inaccuratezza** con Gemini Code Assist, poiché spesso produce suggerimenti di codice generici o errati. - Gli utenti sperimentano **allucinazioni** con output incoerenti da Gemini Code Assist, portando a frustrazione e problemi di prestazioni. - Gli utenti riscontrano problemi di **scarsa integrazione** con Gemini Code Assist, complicando l'installazione e limitando l'uso di strumenti di terze parti. - Gli utenti trovano che Gemini Code Assist abbia **efficacia limitata** con richieste vaghe, spesso necessitando di perfezionamenti per soluzioni generiche. #### What Are Recent G2 Reviews of Gemini Code Assist? **["Gemini Code Assist sembra un'estensione del mio cervello"](https://www.g2.com/it/survey_responses/gemini-code-assist-review-12883240)** **Rating:** 4.5/5.0 stars _— Tumelo M._ [Read full review](https://www.g2.com/it/survey_responses/gemini-code-assist-review-12883240) **["Assistenza alla codifica AI veloce, gratuita e flessibile—Gemini Code Assist si adatta a qualsiasi IDE"](https://www.g2.com/it/survey_responses/gemini-code-assist-review-13142048)** **Rating:** 4.5/5.0 stars _— Ainul H._ [Read full review](https://www.g2.com/it/survey_responses/gemini-code-assist-review-13142048) ### [Amazon Q Developer](https://www.g2.com/it/products/amazon-q-developer/reviews) Amazon Q Developer è un assistente generativo alimentato da AI progettato per migliorare l'intero ciclo di vita dello sviluppo software. Si integra perfettamente in vari ambienti di sviluppo, offrendo suggerimenti di codice in tempo reale, automatizzando compiti di routine e fornendo guida esperta sui servizi AWS. Sfruttando capacità avanzate di AI, Amazon Q Developer mira a potenziare la produttività degli sviluppatori, migliorare la qualità del codice e ottimizzare le operazioni. Caratteristiche e Funzionalità Chiave: - Suggerimenti di Codice in Tempo Reale: Genera frammenti di codice e funzioni complete basate su commenti e codice esistente, supportando più linguaggi di programmazione. - Supporto Chat Inline e CLI: Offre chat inline all'interno degli editor di codice e completamenti dell'interfaccia a riga di comando (CLI), inclusa la traduzione da linguaggio naturale a bash. - Miglioramenti di Sicurezza e Affidabilità: Scansiona il codice per vulnerabilità, suggerisce rimedi e assiste nella scrittura di test unitari per ottimizzare le prestazioni del codice. - Capacità Agenti: Esegue autonomamente compiti come implementare funzionalità, documentare, testare, revisionare, rifattorizzare il codice ed eseguire aggiornamenti software. - Integrazione AWS: Fornisce assistenza esperta sui servizi AWS, aiutando a ottimizzare le risorse cloud, analizzare i costi e aderire alle migliori pratiche architetturali. - Disponibilità Multi-Piattaforma: Compatibile con popolari ambienti di sviluppo integrati (IDE) come JetBrains, Visual Studio Code, Eclipse e Visual Studio, così come interfacce a riga di comando e applicazioni di chat come Microsoft Teams e Slack. Valore Primario e Soluzioni per gli Utenti: Amazon Q Developer affronta sfide comuni nello sviluppo software automatizzando compiti che richiedono tempo, riducendo il carico cognitivo sugli sviluppatori e migliorando la qualità del codice. La sua integrazione con i servizi AWS assicura che le applicazioni siano costruite seguendo le migliori pratiche, portando a operazioni cloud più efficienti e sicure. Fornendo assistenza in tempo reale e automatizzando processi di routine, Amazon Q Developer consente agli sviluppatori di concentrarsi sull'innovazione e sulla fornitura di valore ai loro utenti. **Average Rating:** 4.6/5.0 **Total Reviews:** 50 #### How Do G2 Users Rate Amazon Q Developer? - **Qualità del codice:** 8.8/10 (Category avg: 8.7/10) - **Facilità d'uso:** 9.0/10 (Category avg: 9.0/10) #### Who Is the Company Behind Amazon Q Developer? - **Venditore:** [Amazon Web Services (AWS)](https://www.g2.com/it/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Anno di Fondazione:** 2006 - **Sede centrale:** Seattle, WA - **Twitter:** @awscloud 2,232,483 follower su Twitter - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 dipendenti su LinkedIn® - **Proprietà:** NASDAQ: AMZN #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Tecnologia dell'informazione e servizi, Software per computer - **Company Size:** 41% Small, 31% Large #### What Do G2 Reviewers Say About Amazon Q Developer? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti apprezzano la **facilità d'uso** di Amazon Q Developer per accelerare i processi di codifica e debug. - Gli utenti apprezzano l' **assistenza alla codifica** di Amazon Q Developer, migliorando l'apprendimento e accelerando i processi di sviluppo. - Gli utenti apprezzano le **facili integrazioni** di Amazon Q Developer, migliorando l'assistenza alla codifica e la risoluzione dei problemi per i compiti AWS. - Gli utenti apprezzano i **suggerimenti di codice contestuali** e la guida di Amazon Q Developer, migliorando l'apprendimento e l'efficienza nella programmazione. - Gli utenti apprezzano la **integrazione senza soluzione di continuità e il supporto multilingue** di Amazon Q Developer, migliorando la produttività e le esperienze di apprendimento. ##### Cons - Gli utenti affrontano **suggerimenti scadenti** da Amazon Q Developer, causando confusione con raccomandazioni di codice incomplete o errate. - Gli utenti sperimentano **inesattezza** nei suggerimenti, influenzando le prestazioni e l'usabilità del codice, specialmente per scenari complessi. - Gli utenti sperimentano **risposte irrilevanti o generiche** con Amazon Q Developer, specialmente per schemi di codifica e framework di nicchia. - Gli utenti trovano l' **integrazione scarsa** con altri strumenti e le credenziali AWS ingombranti, influenzando l'apprendimento e la funzionalità. - Gli utenti segnalano **prestazioni lente** quando gestiscono file di grandi dimensioni, influenzando l'usabilità complessiva e generando suggerimenti imbarazzanti. #### What Are Recent G2 Reviews of Amazon Q Developer? **["Lo sviluppatore Q di Amazon accelera lo sviluppo con la generazione di codice utile e spiegazioni"](https://www.g2.com/it/survey_responses/amazon-q-developer-review-13149880)** **Rating:** 4.5/5.0 stars _— Brian A._ [Read full review](https://www.g2.com/it/survey_responses/amazon-q-developer-review-13149880) **["Aiuto alla programmazione AWS consapevole del contesto che mi mantiene nell'IDE"](https://www.g2.com/it/survey_responses/amazon-q-developer-review-13160466)** **Rating:** 4.5/5.0 stars _— Atharva P._ [Read full review](https://www.g2.com/it/survey_responses/amazon-q-developer-review-13160466) ### [IBM watsonx Code Assistant](https://www.g2.com/it/products/ibm-watsonx-code-assistant/reviews) IBM watsonx Code Assistant è una soluzione che sfrutta l'AI generativa per accelerare la generazione di codice e aumentare la produttività degli sviluppatori. Progettato appositamente per casi d'uso mirati, watsonx Code Assistant utilizza l'AI per supportare la Modernizzazione delle Applicazioni e l'Automazione IT. Pronto all'uso, watsonx Code Assistant fornisce modelli pre-addestrati basati su linguaggi di programmazione specifici per garantire fiducia ed efficienza nella generazione accurata del codice. IBM watsonx Code Assistant ti permette di personalizzare il/i modello/i sottostante/i per garantire che l'output sia basato sulle migliori pratiche della tua organizzazione, fornendo al contempo visibilità sull'origine potenziale del codice generato. **Average Rating:** 4.2/5.0 **Total Reviews:** 56 #### How Do G2 Users Rate IBM watsonx Code Assistant? - **Qualità del codice:** 8.5/10 (Category avg: 8.7/10) - **Facilità d'uso:** 7.9/10 (Category avg: 9.0/10) #### Who Is the Company Behind IBM watsonx Code Assistant? - **Venditore:** [IBM](https://www.g2.com/it/sellers/ibm) - **Anno di Fondazione:** 1911 - **Sede centrale:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 follower su Twitter - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 dipendenti su LinkedIn® - **Proprietà:** SWX:IBM #### Who Uses This Product? - **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi - **Company Size:** 43% Small, 36% Large #### What Do G2 Reviewers Say About IBM watsonx Code Assistant? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti apprezzano la **facilità d'uso** di IBM watsonx Code Assistant, notando la sua interfaccia intuitiva e l'installazione rapida. - Gli utenti apprezzano l' **assistenza alla codifica** di IBM watsonx Code Assistant per la sua facilità nel spiegare e modernizzare il codice legacy. - Gli utenti trovano le **risorse utili** in IBM watsonx Code Assistant inestimabili per sviluppare applicazioni mainframe in modo efficace. - Gli utenti apprezzano la **straordinaria capacità di risoluzione dei problemi** di IBM watsonx Code Assistant, migliorando la comprensione del codice e soluzioni contestualmente rilevanti. - Gli utenti apprezzano le **capacità avanzate di intelligenza artificiale** di IBM Watsonx Code Assistant, fornendo supporto accurato per i compiti di programmazione. ##### Cons - Gli utenti hanno notato l' **inesattezza** di IBM Watsonx Code Assistant, portando spesso a disinformazione e a un'esperienza frustrante. - Gli utenti sperimentano **una codifica scadente** che spesso porta a una perdita di tempo e frustrazione quando correggono raccomandazioni non funzionali. - Gli utenti trovano che IBM watsonx Code Assistant abbia **scarse capacità di ragionamento** , portando spesso a suggerimenti di codice inefficaci e confusione. - Gli utenti trovano che i **problemi di complessità** di IBM watsonx Code Assistant ostacolino la personalizzazione e l'usabilità complessiva. - Gli utenti trovano il **prezzo proibitivo** per i clienti più piccoli, rendendo l'adozione e le vendite difficili per i dirigenti. #### What Are Recent G2 Reviews of IBM watsonx Code Assistant? **["Rende la programmazione più veloce e meno stressante con suggerimenti utili che fanno risparmiare tempo"](https://www.g2.com/it/survey_responses/ibm-watsonx-code-assistant-review-11397975)** **Rating:** 4.0/5.0 stars _— Harsh S._ [Read full review](https://www.g2.com/it/survey_responses/ibm-watsonx-code-assistant-review-11397975) **["Aumenta l'efficienza dello sviluppo con l'automazione intelligente del codice"](https://www.g2.com/it/survey_responses/ibm-watsonx-code-assistant-review-12860775)** **Rating:** 4.0/5.0 stars _— Utente verificato_ [Read full review](https://www.g2.com/it/survey_responses/ibm-watsonx-code-assistant-review-12860775) ### [TESS AI](https://www.g2.com/it/products/tess-ai/reviews) Tess AI è la piattaforma AI agentica per il futuro del lavoro. Crea agenti AI che collaborano, comunicano e aumentano la produttività in tutta la tua organizzazione - integrata con oltre 150 modelli AI. **Average Rating:** 4.7/5.0 **Total Reviews:** 385 #### How Do G2 Users Rate TESS AI? - **Qualità del codice:** 8.6/10 (Category avg: 8.7/10) - **Facilità d'uso:** 8.9/10 (Category avg: 9.0/10) #### Who Is the Company Behind TESS AI? - **Venditore:** [Pareto Group](https://www.g2.com/it/sellers/pareto-group) - **Anno di Fondazione:** 2016 - **Sede centrale:** Rio de Janeiro, Brazil - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=caae821547c351321c4aa03a942998eb2acecefed5b0f4b59d58b651e18942d0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10298538&secure%5Burl_type%5D=linkedin_company_website) 99 dipendenti su LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO, Proprietário - **Top Industries:** Marketing e pubblicità, Tecnologia dell'informazione e servizi - **Company Size:** 88% Small, 8% Medium #### What Do G2 Reviewers Say About TESS AI? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti apprezzano la **facilità d'uso** di TESS AI, trovando che semplifica le attività quotidiane con i suoi strumenti utili. - Gli utenti amano le **ampie risorse AI** disponibili con TESS AI, migliorando i loro progetti e le capacità di generazione di immagini. - Gli utenti apprezzano la **concentrazione di strumenti utili** in TESS AI, migliorando la produttività e la creatività nel loro lavoro. - Gli utenti apprezzano i **numerosi strumenti di intelligenza artificiale** in TESS AI, migliorando l'usabilità e offrendo diverse opzioni di contenuto. - Gli utenti apprezzano le **capacità AI multifunzionali** di TESS AI, che consentono la creazione di chatbot senza interruzioni e integrazioni diverse. ##### Cons - Gli utenti esprimono preoccupazione per la **mancanza di trasparenza sui crediti** e suggeriscono miglioramenti per l'assegnazione dei crediti del piano gratuito. - Gli utenti sono preoccupati per **problemi di credito** come costi elevati e insufficiente trasparenza nell'uso del credito. - Gli utenti ritengono che i **crediti limitati** limitino il loro utilizzo e preferirebbero un'opzione per account illimitati. - Gli utenti lottano con **problemi del sistema di credito** a causa dei costi elevati e della mancanza di trasparenza nell'uso del credito. - Gli utenti trovano che i **prezzi elevati** limitano l'uso a causa di vincoli di credito, influenzando la soddisfazione complessiva con TESS AI. #### What Are Recent G2 Reviews of TESS AI? **["Struttura magnifica per usare multiple IA insieme"](https://www.g2.com/it/survey_responses/tess-ai-review-12395241)** **Rating:** 5.0/5.0 stars _— Rodrigo F._ [Read full review](https://www.g2.com/it/survey_responses/tess-ai-review-12395241) **["Innovazione Avanzata con Supporto Eccezionale"](https://www.g2.com/it/survey_responses/tess-ai-review-11647209)** **Rating:** 5.0/5.0 stars _— Wagner A._ [Read full review](https://www.g2.com/it/survey_responses/tess-ai-review-11647209) #### What Are G2 Users Discussing About TESS AI? - [A cosa serve Pareto Quantic?](https://www.g2.com/it/discussions/what-is-pareto-quantic-used-for) ### [IBM watsonx Code Assistant for Red Hat Ansible Lightspeed](https://www.g2.com/products/ibm-watsonx-code-assistant-for-red-hat-ansible-lightspeed/reviews) IBM watsonx Code Assistant for Red Hat Ansible Lightspeed is an AI-powered tool designed to enhance the efficiency and scalability of IT automation by streamlining the Ansible development process. It enables developers to generate Ansible Playbooks using natural language inputs, making automation accessible to users of varying skill levels. By integrating directly into developers' integrated development environments (IDEs, it offers real-time, context-aware content recommendations, thereby accelerating Playbook creation and reducing manual effort. The solution also provides detailed explanations for each task, fostering a deeper understanding of the generated code. With flexible deployment options, including on-premises and as-a-service models, it caters to diverse organizational needs. Additionally, the tool ensures transparency by offering insights into the sources used in training data, including author and license information, promoting trust in AI-generated content. Key Features and Functionality: - Natural Language Playbook Generation: Allows users to create Ansible Playbooks by inputting commands in plain English, simplifying the automation process. - Integrated Development Environment (IDE Integration: Seamlessly integrates with developers' IDEs, providing real-time, context-aware content recommendations. - Detailed Code Explanations: Offers comprehensive explanations for each generated task, enhancing understanding and confidence in the automation code. - Customizable Model: Enables organizations to tailor the AI model using existing Ansible Playbook content for more personalized and relevant code suggestions. - Flexible Deployment Options: Supports both on-premises and as-a-service deployments, accommodating various infrastructure preferences. - Transparency in Training Data: Provides visibility into the sources used for training data, including author and license details, ensuring trust in the AI-generated content. Primary Value and Problem Solved: IBM watsonx Code Assistant for Red Hat Ansible Lightspeed addresses the challenge of efficiently creating and managing Ansible Playbooks, which are essential for IT automation. By enabling natural language inputs and integrating AI-driven recommendations directly into developers' workflows, it significantly reduces the time and effort required for Playbook development. This democratizes automation, allowing developers of all skill levels to participate in and benefit from IT automation initiatives. The tool's transparency features build trust in AI-generated content, while its flexible deployment options ensure it can be tailored to fit various organizational needs. Ultimately, it enhances productivity, scalability, and confidence in automation processes. **Average Rating:** 4.2/5.0 **Total Reviews:** 10 #### How Do G2 Users Rate IBM watsonx Code Assistant for Red Hat Ansible Lightspeed? - **Code quality:** 8.5/10 (Category avg: 8.7/10) - **Ease of Use:** 8.8/10 (Category avg: 9.0/10) #### Who Is the Company Behind IBM watsonx Code Assistant for Red Hat Ansible Lightspeed? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® - **Ownership:** SWX:IBM #### Who Uses This Product? - **Company Size:** 50% Small, 40% Medium #### What Do G2 Reviewers Say About IBM watsonx Code Assistant for Red Hat Ansible Lightspeed? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **real-time coding assistance** of IBM watsonx Code Assistant, enhancing productivity and code quality. - Users appreciate the **automation of complexity** in IBM watsonx Code Assistant, streamlining YAML playbook creation effectively. - Users value the **time-saving automation** features of IBM watsonx Code Assistant, streamlining repetitive tasks effectively. - Users appreciate the **accuracy of AI-generated code recommendations** , finding them reliable and helpful for their coding needs. - Users value the **automation of complexity** in IBM Watsonx Code Assistant, enhancing ease of use in Ansible. ##### Cons - Users find the **context understanding** lacking, with recommendations often missing crucial details in complex automation scenarios. - Users face **dependency issues** that hinder functionality and complicate integration with other tools in their workflow. - Users find the **difficult learning** curve for new users challenging, impacting their ability to utilize the software effectively. - Users find IBM watsonx Code Assistant for Red Hat Ansible Lightspeed to be **prohibitively expensive** , particularly impacting small to medium businesses. - Users often find the **content created is outdated** , which impacts its relevance and usefulness for current tasks. #### What Are Recent G2 Reviews of IBM watsonx Code Assistant for Red Hat Ansible Lightspeed? **["One Hub for IBM Services, Subscriptions, and Support—Simplifies Admin"](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-for-red-hat-ansible-lightspeed-review-13171232)** **Rating:** 4.0/5.0 stars _— Verified User in Oil & Energy_ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-for-red-hat-ansible-lightspeed-review-13171232) **["An excellent friend to write manifests yaml files"](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-for-red-hat-ansible-lightspeed-review-10562504)** **Rating:** 4.5/5.0 stars _— Verified User in Financial Services_ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-for-red-hat-ansible-lightspeed-review-10562504) ### [Amp](https://www.g2.com/it/products/amp-code-amp/reviews) L'assistente AI di Sourcegraph va oltre la produttività individuale dei sviluppatori, aiutando le imprese a raggiungere coerenza e qualità su larga scala con l'AI. Sourcegraph accelera l'intero flusso di lavoro per gli sviluppatori fornendo loro un modo più naturale e intuitivo di lavorare. Cercare codice, chattare con l'AI, invocare prompt e utilizzare agenti possono ora essere eseguiti in un unico posto con i migliori modelli disponibili. Caratteristiche: 🤖 Chat agentica: Progettata per semplificare e accelerare i flussi di lavoro degli sviluppatori, Sourcegraph utilizza una combinazione di ricerca, chat AI e prompt in un'unica interfaccia per ottimizzare il modo in cui esplori, comprendi e generi codice. ✨ Auto-edit: Completa automaticamente singole righe o intere funzioni, in qualsiasi linguaggio di programmazione, file di configurazione o documentazione. È alimentato dai più recenti modelli LLM istantanei, per precisione e prestazioni. 📚 Libreria di Prompt: Ottimizza il tuo processo di sviluppo utilizzando i prompt per comprendere, migliorare, correggere, documentare e generare test unitari per il tuo codice. Puoi anche creare i tuoi prompt e salvarli nella Libreria di Prompt per adattare Sourcegraph al tuo flusso di lavoro. Cody lavora con i principali host di codice come GitHub, GitLab e Bitbucket, e offre una flessibilità LLM leader del settore con supporto per i modelli più potenti di OpenAI, Anthropic e altri. 🧠 Il Miglior Contesto: Quando gli strumenti si concentrano esclusivamente sulla produttività individuale, i team affrontano risultati incoerenti e di scarsa qualità. Sourcegraph si concentra sulla produttività del team utilizzando il contesto dell'intero codice base e prompt condivisi per garantire qualità e coerenza in tutta la tua impresa. **Average Rating:** 4.5/5.0 **Total Reviews:** 91 #### How Do G2 Users Rate Amp? - **Qualità del codice:** 8.0/10 (Category avg: 8.7/10) - **Facilità d'uso:** 8.7/10 (Category avg: 9.0/10) #### Who Is the Company Behind Amp? - **Venditore:** [Amp Code](https://www.g2.com/it/sellers/amp-code) - **Sede centrale:** San Francisco, US - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6592b0e9f0c8aff83d0364f864b3ae687816ef9a9324a3327b85bff26704e39c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famp-code%2F&secure%5Burl_type%5D=linkedin_company_website) 18 dipendenti su LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi - **Company Size:** 70% Small, 20% Medium #### What Do G2 Reviewers Say About Amp? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti trovano che la **facilità d'uso** in Amp consente una configurazione rapida e un'integrazione senza problemi per i progetti web. - Gli utenti apprezzano molto la **integrazione IDE senza soluzione di continuità** di Cody, migliorando significativamente il loro flusso di lavoro e la produttività nello sviluppo. - Gli utenti apprezzano la **facilità d'uso e l'accessibilità** di Amp, consentendo uno sviluppo senza interruzioni di siti web e applicazioni per tutti. - Gli utenti apprezzano le **facili integrazioni** di Amp, che consentono un uso senza soluzione di continuità su più piattaforme e opzioni CMS. - Gli utenti apprezzano la **velocità di caricamento istantanea** e l'integrazione senza soluzione di continuità di AMP, migliorando significativamente la loro esperienza di navigazione mobile. ##### Cons - Gli utenti esprimono frustrazione per la **personalizzazione limitata** , che influisce sul branding e sui design unici delle pagine in Amp. - Gli utenti lottano con **codifica scadente** , citando prestazioni lente e risposte dell'interfaccia utente inferiori che ostacolano la loro esperienza complessiva. - Gli utenti sperimentano **sfide nella comprensione del contesto** con Amp, spesso lottando con l'accesso incompleto al codice e la necessità di riaggiungere manualmente i file. - Gli utenti esprimono preoccupazioni riguardo al **scarso supporto clienti** , evidenziando una mancanza di assistenza affidabile e documentazione inadeguata. - Gli utenti segnalano **prestazioni lente** con AMP, in particolare rispetto a stack tecnologici più moderni. #### What Are Recent G2 Reviews of Amp? **["Aiuto alla programmazione consapevole del contesto che aumenta la produttività"](https://www.g2.com/it/survey_responses/amp-review-13142658)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/it/survey_responses/amp-review-13142658) **["Interfaccia intuitiva e automazione del flusso di lavoro che aumenta la produttività."](https://www.g2.com/it/survey_responses/amp-review-13075885)** **Rating:** 5.0/5.0 stars _— Aarti C._ [Read full review](https://www.g2.com/it/survey_responses/amp-review-13075885) #### What Are G2 Users Discussing About Amp? - [A cosa serve Sourcegraph?](https://www.g2.com/it/discussions/what-is-sourcegraph-used-for) ### [Windsurf](https://www.g2.com/it/products/exafunction-windsurf/reviews) Codeium è un assistente di codifica alimentato dall'IA gratuito che accelera lo sviluppo fornendo un completamento automatico del codice intelligente in oltre 70 linguaggi di programmazione e più di 40 IDE, inclusi VSCode, JetBrains e Jupyter Notebooks. Con Codeium, gli sviluppatori possono scrivere codice più velocemente, eliminare compiti ripetitivi e rimanere nello stato di flusso, sia che stiano lavorando con Python, JavaScript, C++ o qualsiasi altro linguaggio. Costruito su miliardi di righe di codice open-source, Codeium comprende e anticipa le tue esigenze di codifica, offrendo suggerimenti multilinea, test unitari automatizzati e persino spiegazioni in linguaggio naturale per funzioni complesse. È perfetto per semplificare la scrittura del codice, ridurre il boilerplate e ridurre il tempo trascorso nelle ricerche di documentazione. Fidato da sviluppatori individuali e aziende Fortune 500, Codeium è la tua soluzione di riferimento per aumentare la produttività e scrivere codice migliore. Prova Codeium gratuitamente oggi e sperimenta il futuro della codifica alimentata dall'IA! **Average Rating:** 4.3/5.0 **Total Reviews:** 35 #### How Do G2 Users Rate Windsurf? - **Qualità del codice:** 7.8/10 (Category avg: 8.7/10) - **Facilità d'uso:** 8.7/10 (Category avg: 9.0/10) #### Who Is the Company Behind Windsurf? - **Venditore:** [Exafunction](https://www.g2.com/it/sellers/exafunction) - **Anno di Fondazione:** 2021 - **Sede centrale:** Mountain View, US - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=286e6ba9d40f062e4a3c39db362343fe70ac05a1a314cbc8ee453dd3fd400e91&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F80796312&secure%5Burl_type%5D=linkedin_company_website) 1 dipendenti su LinkedIn® #### Who Uses This Product? - **Top Industries:** Software per computer - **Company Size:** 49% Medium, 43% Small #### What Do G2 Reviewers Say About Windsurf? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti amano la **facilità d'uso** di Windsurf, apprezzando la sua assistenza AI intuitiva e il supporto rapido per la risoluzione dei problemi. - Gli utenti elogiano l' **assistenza alla codifica intelligente** di Windsurf, che migliora la produttività e fornisce suggerimenti rapidi e contestuali. - Gli utenti apprezzano l' **assistenza AI intelligente** di Windsurf, migliorando la produttività e ottimizzando efficacemente il loro flusso di lavoro di codifica. - Gli utenti amano l' **integrazione AI senza soluzione di continuità** in Windsurf, migliorando l'efficienza del flusso di lavoro con opzioni versatili di assistente di codice. - Gli utenti apprezzano le **facili integrazioni** di Windsurf, migliorando il flusso di lavoro con connessioni senza soluzione di continuità a vari assistenti di codice AI. ##### Cons - Gli utenti trovano le **funzionalità mancanti** in Windsurf impegnative, ostacolando la produttività rispetto agli IDE più maturi. - Gli utenti sperimentano **suggerimenti scadenti** da Windsurf, spesso necessitando di aggiustamenti manuali che interrompono il loro flusso di lavoro e l'efficienza. - Gli utenti sperimentano **occasionali suggerimenti irrilevanti** da Windsurf, interrompendo il flusso di lavoro con raccomandazioni contestualmente inaccurate. - Gli utenti esprimono preoccupazione per il **sistema di credito** , notando alti costi e inefficienze che influenzano la gestione dei compiti con gli agenti. - Gli utenti segnalano **scarsa codifica** in Windsurf, con frequenti errori degli agenti e tempi di risposta lenti che influenzano la loro esperienza complessiva. #### What Are Recent G2 Reviews of Windsurf? **["Windsurf accelera lo sviluppo con un flusso di lavoro facile e produttivo"](https://www.g2.com/it/survey_responses/windsurf-review-11675123)** **Rating:** 4.0/5.0 stars _— Avi P._ [Read full review](https://www.g2.com/it/survey_responses/windsurf-review-11675123) **["Windsurf ha supercaricato il mio flusso di lavoro da drammaturgo con l'IA contestuale"](https://www.g2.com/it/survey_responses/windsurf-review-13166826)** **Rating:** 5.0/5.0 stars _— Sree K._ [Read full review](https://www.g2.com/it/survey_responses/windsurf-review-13166826) ### [CodeMate AI](https://www.g2.com/products/codemate-ai/reviews) CodeMate.ai, is an AI-pair programmer, a.k.a. Grammarly for Programmers that helps developers ship quality code 10x faster by fixing their errors in the code and providing personalized and context-aware answers to the questions related to their codebase. CodeMate.ai harnesses deep codebase integration and long-term memory knowledge, revolutionizing the coding experience. With real-time code review and comprehensive error fixing, it automates the manual code review and debugging process in enterprises. This unique solution sets CodeMate.ai apart from generic developer tools, making it the ultimate coding companion for developers worldwide. **Average Rating:** 4.7/5.0 **Total Reviews:** 14 #### How Do G2 Users Rate CodeMate AI? - **Code quality:** 9.6/10 (Category avg: 8.7/10) - **Ease of Use:** 8.9/10 (Category avg: 9.0/10) #### Who Is the Company Behind CodeMate AI? - **Seller:** [CodeMate](https://www.g2.com/sellers/codemate-9783e3ac-c6f3-48bc-87c8-82fb5e075d5f) - **Year Founded:** 2022 - **HQ Location:** Noida , IN - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b205778f177c9943751465ee6acdfc79cecb98dd98fd188fe854a7b98a8ade37&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcodemateai&secure%5Burl_type%5D=linkedin_company_website) 20 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 79% Small, 14% Medium #### What Do G2 Reviewers Say About CodeMate AI? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **coding assistance** of CodeMate AI, facilitating effortless code generation from plain English. - Users love the **customization capabilities** of CodeMate AI, tailoring code solutions to their specific project needs. - Users commend the **ease of use** of CodeMate AI, simplifying code generation for projects of any scale. - Users value the **efficiency** of CodeMate AI, finding it significantly saves time and reduces coding errors. - Users love the **powerful code conversion** capabilities of CodeMate AI, streamlining development for various projects effortlessly. ##### Cons - Users express concern over **security risks** due to access to API keys and credentials, raising trust issues. #### What Are Recent G2 Reviews of CodeMate AI? **["Transforms Development Workflow with Smart Integrations"](https://www.g2.com/survey_responses/codemate-ai-review-12564076)** **Rating:** 5.0/5.0 stars _— Pratik D._ [Read full review](https://www.g2.com/survey_responses/codemate-ai-review-12564076) **["Effortless Code Optimization and Debugging"](https://www.g2.com/survey_responses/codemate-ai-review-12566808)** **Rating:** 5.0/5.0 stars _— Ankush G._ [Read full review](https://www.g2.com/survey_responses/codemate-ai-review-12566808) ### [Ask Codi](https://www.g2.com/it/products/ask-codi/reviews) Forniamo uno strato di orchestrazione compatibile con OpenAI che consente ai team di comporre i propri "modelli virtuali" sopra qualsiasi LLM - combinando prompt, ragionamento, revisione e guardrail, e utilizzarli ovunque, dal tuo IDE al tuo backend. Caratteristiche principali: 1. Un'API compatibile con OpenAI per molti LLM 2. Modelli personalizzati che puoi nominare e riutilizzare 3. Modalità di ragionamento su richiesta 4. Modalità di revisione integrata 5. Guardrail e mascheramento PII 6. Integrazioni IDE e CLI 7. Analisi e controllo dei costi. **Average Rating:** 4.8/5.0 **Total Reviews:** 100 #### How Do G2 Users Rate Ask Codi? - **Qualità del codice:** 8.3/10 (Category avg: 8.7/10) - **Facilità d'uso:** 9.0/10 (Category avg: 9.0/10) #### Who Is the Company Behind Ask Codi? - **Venditore:** [Assisitv AI LTDA.](https://www.g2.com/it/sellers/assisitv-ai-ltda) - **Sede centrale:** Hamburg, Hamburg - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5717130947dbf38fd5c16d7835337c1b66d51999b39f2315f47747b1744f458a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fassistivai%2F&secure%5Burl_type%5D=linkedin_company_website) 8 dipendenti su LinkedIn® #### Who Uses This Product? - **Who Uses This:** Founder - **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi - **Company Size:** 86% Small, 5% Medium #### What Do G2 Reviewers Say About Ask Codi? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti apprezzano le **diverse integrazioni e funzionalità** di Ask Codi, migliorando la loro efficienza e produttività nel coding. - Gli utenti trovano Ask Codi **molto facile da usare** , rendendo l'apprendimento e la costruzione piacevoli e accessibili. - Gli utenti apprezzano l' **assistenza alla programmazione** di Ask Codi, migliorando la produttività e semplificando notevolmente i compiti di programmazione. - Gli utenti apprezzano l' **interfaccia utente semplice e intuitiva** di Ask Codi, migliorando la loro esperienza complessiva di codifica. - Gli utenti apprezzano le capacità di **conversione del codice efficiente** di Ask Codi, migliorando la produttività con integrazioni senza soluzione di continuità. ##### Cons - Gli utenti sperimentano **tempi di risposta lunghi** con Ask Codi, portando a ritardi occasionali nella generazione e nell'elaborazione del codice. - Gli utenti affrontano problemi con la **scarsa qualità del codice** da Ask Codi, richiedendo correzioni manuali e aggiustamenti agli output. - Gli utenti affrontano sfide con il **sistema di credito** , necessitando di accessi giornalieri per guadagnare crediti gratuiti e sperimentando tempi di risposta lunghi. - Gli utenti spesso sperimentano **prestazioni lente** con Ask Codi, affrontando tempi di risposta lunghi che ostacolano l'efficienza. - Gli utenti affrontano **problemi di complessità** con Ask Codi, spesso richiedendo input aggiuntivi e affrontando dimenticanze nelle istruzioni. #### What Are Recent G2 Reviews of Ask Codi? **["Il modo più semplice e chiaro da usare con cline"](https://www.g2.com/it/survey_responses/ask-codi-review-10999501)** **Rating:** 4.5/5.0 stars _— Angel G._ [Read full review](https://www.g2.com/it/survey_responses/ask-codi-review-10999501) **["Strumento straordinario per risparmiare tempo e denaro"](https://www.g2.com/it/survey_responses/ask-codi-review-6758927)** **Rating:** 5.0/5.0 stars _— Marcello T._ [Read full review](https://www.g2.com/it/survey_responses/ask-codi-review-6758927) - ‹ Prev‹ Prev - 1 - [2](/categories/ai-code-generation?order=g2_score&page=2#product-list) - [3](/categories/ai-code-generation?order=g2_score&page=3#product-list) - [4](/categories/ai-code-generation?order=g2_score&page=4#product-list) - [5](/categories/ai-code-generation?order=g2_score&page=5#product-list) - … - [7](/categories/ai-code-generation?order=g2_score&page=7#product-list) - [8](/categories/ai-code-generation?order=g2_score&page=8#product-list) - [Next ›Next ›](/categories/ai-code-generation?order=g2_score&page=2#product-list) Spotlight Categories [Security Awareness Training Software](https://www.g2.com/categories/security-awareness-training) [Sales Intelligence Software](https://www.g2.com/categories/sales-intelligence) [SAP Store Software](https://www.g2.com/categories/sap-store) [Communication Platform as a Service (cPaaS) Platforms](https://www.g2.com/categories/communication-platform-as-a-service) [Webinar Platforms](https://www.g2.com/categories/webinar) Similar Categories - [AI App Builder](/categories/ai-app-builder) - [AI AppSec Assistants](/categories/ai-appsec-assistants) - [AI Chatbots](/categories/ai-chatbots) - [AI Coding Assistants](/categories/ai-coding-assistants) - [AI Content Creation Platforms](/categories/ai-content-creation-platforms) - [AI Image Generators](/categories/ai-image-generators) - [AI SDK](/categories/ai-sdk) - [AI Search & Retrieval Infrastructure Platforms](/categories/ai-search-retrieval-infrastructure-platforms) - [AI Software Testing Tools](/categories/ai-software-testing-tools) - [Generative AI Infrastructure](/categories/generative-ai-infrastructure) - [Large Language Model Operationalization (LLMOps)](/categories/large-language-model-operationalization-llmops) - [Large Language Models (LLMs)](/categories/large-language-models-llms) - [Small Language Models (SLMs)](/categories/small-language-models-slms) - [Synthetic Media](/categories/synthetic-media) [Browse AI Code Generation Themes](/categories/ai-code-generation/themes) ![Adam Crivello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adam Crivello") AC Researched and written by [Adam Crivello](https://research.g2.com/insights/author/adam-crivello) Updated May 8, 2026 AI code generation software uses artificial intelligence and machine learning to automatically produce code from natural-language inputs, helping developers create efficient, functional code that aligns with best practices. These tools streamline repetitive tasks, improve consistency, and integrate either through chat interfaces or directly into IDEs as AI code assistants. ### Core Capabilities of AI Code Generation Software To qualify for inclusion in the AI Code Generation category, a product must: - Be a general-purpose solution that generates code based on natural-language user inputs - Generate code beyond simple autocomplete or inline code completion - Serve as a standalone code generation tool or integrate with developers’ existing environments - Support multiple programming languages - Allow users to customize the AI-generated code ### How AI Code Generation Software Differs from Other Tools AI code generation tools focus on producing new code from natural-language prompts, whereas broader AI developer tools may center on debugging, suggestions, or documentation. These solutions prioritize automated code creation at scale, enabling developers to translate intent into working code across multiple languages. ### Insights from G2 on AI Code Generation Software Based on category trends on G2, increased productivity, reduced time spent on repetitive tasks, and improved code consistency. These platforms often point to strong IDE integrations and customization options stand out as key contributors to a smooth development experience. Top Tools at a Glance | | Boilerplate generation and real-time debugging assistance | User Review "Incredibly Versatile: Voice Mode, Long-Context Memory, and Custom GPTs That Deliver" | | | Agentic codebase-aware IDE development | User Review "Simple UI and Amazing AI Coding Help for Building Websites" | | | Full-context codebase refactoring and debugging | User Review "Exceptional Long-Context Reasoning That Boosts Productivity" | | | IDE-native AI code generation and agentic coding | User Review "GitHub Copilot Supercharges Productivity with Context-Aware Code Suggestions" | | | Google-ecosystem-native code generation and debugging | User Review "Powerful Multimodal AI with Seamless Google Integration" | | | Browser-native vibe coding with zero-setup deployment | User Review "Zero-Setup Replit Cloud Dev That Makes Rapid Prototyping Lightning-Fast" | | | IDE-native code generation with codebase context | User Review "Gemini Code Assist Feels Like an Extension of My Brain" | | | AWS-native code generation and security scanning | User Review "Amazon Q Developer Speeds Up Development with Helpful Code Generation and Explanations" | | | Legacy code modernization with enterprise-grade AI | User Review "Makes Coding Faster and Less Stressful with Helpful, Time-Saving Suggestions" | | | Multi-LLM code generation and debugging | User Review "Magnificent structure to use multiple AIs together" | * * * Show More * * * ## How Do You Choose the Right AI Code Generation Software? ### What You Should Know About AI Code Generators AI code generation software encompasses tools that utilize artificial intelligence (AI) and machine learning (ML) to create and write code based on a user's prompt. This code is written based on the best practices for that particular coding language and a natural language description of the expected code. In short, instead of manually typing out each line of code, the user gives the AI code generation tool a description of what they want the code to do. The software then uses ML and AI to write the code automatically based on user input. Most tools are generalized, but some AI code generation tools are created for specific use cases, like game or web development. Developers use AI code generation software to reduce the time and effort spent on repetitive coding tasks. By incorporating these tools into their workflow, developers at all skill levels can improve code consistency and increase productivity. Additionally, this type of software makes coding more accessible to everyone, regardless of skill level or knowledge of programming languages.  Plus, code generation tools can write code faster and in real time than a human programmer. They’re also more efficient because they can learn any technology or framework represented in their training dataset.  ### What are the common features of AI code generation software? The following are some features of AI code generation software that companies can use to write lines of code on their behalf. Note that specific features may vary between different products. - **Automatic code generation:** This allows the software to generate code snippets automatically, based on various parameters and details, which can reduce repetitive coding tasks and increase developer productivity. - **Machine learning capabilities:** [Machine learning](https://www.g2.com/articles/machine-learning) algorithms are used to improve code suggestions and generate more sophisticated and high-quality code snippets based on the context given by the user. - **Natural language processing (**[NLP](https://www.g2.com/articles/natural-language-processing)**) integration:** This feature allows the software to understand and process human language to generate code based on verbal or written descriptions. - **Support for multiple programming languages:** This enables the software to support various programming languages, such as [Python](https://www.g2.com/glossary/python-definition), Javascript, Ruby, HTML, and [PHP](https://www.g2.com/articles/what-is-php), making it versatile for different development scenarios. - **Advanced debugging tools:** AI-powered code generators often come with advanced debugging tools, which provide detailed insights into the performance of the generated programs. The code editor can also quickly detect errors and vulnerabilities in source code to help programmers identify potential problems before they become significant issues. - **Code suggestions and autocompletion:** This feature offers code completion suggestions to enhance existing code to help developers write more efficiently and learn syntax and functions of languages quickly. ### Types of AI code generation tools There are three types of AI code generation tools a company can choose. - **Rule-based code generators:** These tools generate code based on predefined rules or patterns. These rules can cover syntax, logic, or design patterns.  - **Machine learning-based code generators:** These tools use algorithms and models to generate code. Typically, a user provides the tool with a large dataset of example code snippets or specific programming tasks. From there, the software trains machine learning models, such as neural networks or [decision trees](https://www.g2.com/articles/data-mining-techniques#decision-tree), to learn patterns and relationships between input code and output solutions to generate code. - **NLP-based code generators:** This type of AI code generation software enables developers to program computers by speaking natural language commands instead of manually writing lines of code. This allows non-technical users to communicate directly with computers without knowledge of coding languages. ### What are the benefits of AI code generation software? Whether you’re an experienced developer or a user new to the world of writing code, using AI code generation software has numerous benefits. - **Faster development:** These AI tools can drastically reduce the time and effort needed to write code, complete projects, and work on other repetitive tasks. Since AI coding tools speed up the process of writing code, this also means faster project turnovers.  - **Less task switching:** AI code generators reduce the jumping back and forth between writing lines of code and free developers of the smaller tasks on their plate. - **Boosts productivity:** AI code generators streamline the development process for users, as developers can work faster and more efficiently. This saves time, resources, and money, and projects are completed sooner. - **Frees up developers to work on larger, more complex projects:** Since these coding assistants make the most of algorithms that can write code quickly and accurately, the developer is not required to do as much. This reduces the need for smaller, more minute tasks dedicated to writing code and allows developers to focus on more complex projects. ### Who uses AI code generation tools? Several different types of users and teams within organizations can benefit from using AI code generators.  #### Individuals: - **Software developers:** Software developers use AI code generators to write the code for software and various applications quickly and with minimal effort. - **IT administrators:** An IT administrator uses this software to automate tasks, manage infrastructure, enhance security, develop custom solutions, and optimize performance. This can streamline workflows, strengthen [cybersecurity](https://www.g2.com/glossary/cybersecurity-definition), and enable efficient problem-solving.  - **Data scientists:** Since these AI models can process large amounts of data efficiently and quickly, data scientists use these tools to produce advanced models without having to write lengthy programs every time a new experiment is in the works. #### Teams: - **IT teams** turn to AI code generation tools to assist in troubleshooting efforts and optimizing performance so they can focus on innovation efforts and other strategic initiatives.  - **Software development teams** leverage AI code generation software to automate repetitive tasks, speed up the coding processes, and optimize performance. Additionally, these tools can aid in debugging and generating code for complex algorithms. - **Data science and machine learning teams** use AI code generators to automate tasks like model development, streamlining data processing, and speeding up experimentation.  ### AI code generation software pricing AI code generation software is typically broken into three different pricing models. - **Subscription model:** Users pay a recurring fee to access all features at regular intervals, such as monthly or annually. - **Freemium model:** Offers a free basic version of the software with limited features and functionality. Users can upgrade to a paid version to access additional features when needed. - **Pay-per-use model:** This model allows users to pay for the software based on their usage, data storage, time spent using the tool, seats, or consumption.  Like most software, the price will vary depending on factors such as the complexity of the program and the features it offers. Basic tools can range from free to a few hundred dollars. More robust enterprise-level tools could be upwards of thousands of dollars. Some tools may also have recurring monthly fees and updates to the software with a price attached. Before investing in an AI code generation tool, companies need to list their specific needs and the features on their must-have list for more clarity. ### Alternatives to AI code generation tools Before choosing an AI code generation tool, companies can also consider one of the following alternatives for their needs. - [Low-code development platforms](https://www.g2.com/categories/low-code-development-platforms) **:** Low-code development platforms allow businesses to develop software quickly with minimal coding, reducing the need for extensive coding experience. These tools provide base-level code, scripts, and integrations so users can prototype, build, or scale applications without developing complex infrastructures. Some products are geared more toward developers and require coding for functionality, while others provide element libraries for design.  - [No-code development platforms](https://www.g2.com/categories/no-code-development-platforms): These tools offer drag-and-drop functionality, allowing developers to create applications quickly and efficiently without coding expertise. No-code development solutions offer a range of features, including templates for workflows, libraries of elements, and customizable interfaces. - **Code libraries** : A code library is a collection of reusable code modules, functions, classes, or snippets that companies can use to speed up software development. These repositories have the functionality to address common programming tasks, such as data manipulation, user interface design, or network communication. Developers can incorporate code from libraries into their own projects to save time and limit errors. ### Software and services related to AI code generation software There are certain tools related to AI code generation software that have similar features and functionalities and can be useful depending on a business's needs. Some examples of such tools are: - Low-code development platforms - No-code development platforms - [Integrated development environments (IDEs)](https://www.g2.com/categories/integrated-development-environments-ide) ### Challenges with AI code generation software Despite the several benefits users can experience from AI code generation software, there are some challenges to remember, too. - **Code quality:** One of the main challenges of using AI-generated code editors is the code's quality. Since coding AI assistants use regenerative AI technology and predict how code is written based on specific training material, they may produce low-quality and non-functional source code. It also may not comprehend what it’s writing, leading to more errors or broken code. - **Maintenance:** All code needs to be maintained, but code written using an AI code generation tool may be more complex than necessary, making it harder to maintain over time. This overly complex code can lead to unnecessary abstractions, excessive layers of code, or overly intricate logic, making debugging and collaboration challenging.  - **Less control:** Some users worry that relying too heavily on AI assistants could diminish their coding skills and expertise. Additionally, there’s the potential loss of control over the development process, as users may have less input into the written code. - **Learning curve for developers/organizations:** As with using any new software for the first time, there’s a learning curve for both developers and the organization. However, the curve may be steep and take time to master before achieving maximum productivity. ### Which companies should buy AI code generation software? Any company with a development team could benefit from AI code generation tools, but there are specific types of companies that should consider buying this type of software to add to their tech stack. - **Financial institutions:** Banks and financial institutions can utilize AI code generation to automate regulatory compliance, enhance security measures, and develop custom financial processes for risk analysis and [fraud detection](https://www.g2.com/categories/fraud-detection). - **Healthcare organizations:** Healthcare companies can use AI code generation to develop predictive models, automate medical imaging analysis, and optimize patient care processes. - **Legal firms:** A legal organization can use AI code generation to assist in document automation, legal research and analytics, and compliance monitoring. - **Government agencies:** Government organizations can use these tools to automate administrative tasks, enhance cybersecurity efforts, and develop [predictive models](https://www.g2.com/categories/predictive-analytics) for resource allocation and policy planning. - **Educational companies:** Educational institutions and schools can use AI code generation to develop personalized learning platforms, automate administrative tasks like grading and scheduling, and analyze student performance data for insights into how effective the current [curriculum](https://www.g2.com/categories/curriculum-management) is. - **Retail companies:** Retailers can use this software to optimize pricing strategies, automate customer segmentation for targeted marketing campaigns, and develop recommendations for personalized shopping experiences. ### How to choose the best AI code generation tools? The following explains the step-by-step process buyers can use to find suitable AI code-generation tools for their business.  #### 1. Identify business needs and priorities Before choosing an AI code generation tool, businesses should identify their top priorities in a tool and what exactly they’ll be using it for. Clear goals and requirements can make the selection process easier and more efficient. Companies should consider factors like how quickly they need to generate results, how much automation will be required, and what level of accuracy is needed. #### 2. Choose the necessary technology and features Next, companies should narrow down the features and functionalities they need most. Some essential technology and features a company may be looking for are: - **Auto completion of code** : This provides suggestions and completes code snippets based on context. - **Code refactoring** : With this feature, the tool can restructure existing code to improve performance and readability. - **Syntax checking** : This feature identifies errors and potential bugs in the code. - Code analysis: AI code generation tools must identify bottlenecks, security vulnerabilities, and areas for optimization. - **Machine learning assistants** : These enable AI-powered assistants to help developers write code, suggest improvements, or answer coding-related queries. - **Cross-platform support:** This is required for multiple programming languages and development environments so that users can work across different platforms seamlessly. Once companies short-list services based on their requirements and must-have functionalities, it’s easier to determine which options best suit their needs. #### 3. Review vendor vision, roadmap, viability, and support In this stage, a buyer should start vetting the selected AI code generation software vendors and conduct demos to determine if a product meets their requirements. For the best outcome, a buyer should share detailed requirements in advance so a vendor knows what features and functionalities to showcase during the demo.  Below are some questions buyers should ask vendors during the demo. - How does the software handle different programming languages and frameworks? - What level of customization and flexibility does the software offer for generating code to fit specific project requirements? - How does your software ensure code quality and compliance with coding standards? - What support and training options do you provide for users adopting your software? - What security measures are in place to protect sensitive code and data processed by your software? - Can the tool integrate with existing development tools and workflows, such as IDEs and version control systems? - What level of technical support is available, and how responsive is your support team to customer inquiries and issues? #### 4. Evaluate the deployment and purchasing model Once a buyer has received answers and is ready to move on to the next stage, they will likely loop in key stakeholders within the organization and at least one employee from each department who will be using the software. For example, with AI code generation, it’s best that the buyer loops in the developers who will be using the software to ensure it covers everything they need for maximum productivity. #### 5. Put it all together A buyer makes the final decision after getting buy-in from everyone on the selection committee, including [end users](https://www.g2.com/glossary/end-user-definition). This buy-in is essential for getting everyone on the same page regarding implementation, [onboarding](https://www.g2.com/categories/onboarding), and various use cases.  ### AI code generation software trends Some recent trends that were seen in the field of AI code generation software are: - **Companies integrating and adopting AI code generation tools for the first time:** AI code generation tools are making the most of recent developments in AI and ML for significant improvements regarding their features and functionality. Many companies are learning how to integrate these tools with their current tech stack for the first time. This trend stems from the demand for efficient code, the want to save money, and companies looking for a competitive advantage. - **AI will aid rather than** [replace developers](https://www.itpro.com/technology/artificial-intelligence/can-ai-code-generation-really-replace-human-developers) **:** It’s important that developers see AI and AI code generation tools as an aid they can use to speed up the process of writing code, which gives them the opportunity and time to work on other tasks rather than being a replacement. AI can automate repetitive tasks, provide insights, and enhance productivity. Whereas developers and real users will always lean on critical thinking, creativity, and problem-solving skills that AI currently cannot replicate.  Researched and written by [Adam Crivello](https://research.g2.com/insights/author/adam-crivello) Reviewed and edited by [Supanna Das](https://learn.g2.com/author/supanna-das)