# Best AI Coding Assistants Software

## How Many AI Coding Assistants Software Products Does G2 Track?

**Total Products under this Category:** 321

### Category Stats (Jul 2026)

- **Average Rating:** 4.54/5 (↓0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Augment Code (+30.91%) - Among all products in this category, Augment Code recorded the largest rating increase compared to last month

_Last updated: July 30, 2026_

## How Does G2 Rank AI Coding Assistants Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 3,100+ Authentic Reviews
- 321+ 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 Coding Assistants Software
 ![G2 Grid® for AI Coding Assistants Software plotting products by satisfaction and market presence](https://www.g2.com/categories/ai-coding-assistants/grids.png?focus%5B%5D=1439871&focus%5B%5D=1292770&focus%5B%5D=1579500&focus%5B%5D=1738276&focus%5B%5D=1305807&focus%5B%5D=1332376&focus%5B%5D=1305796&focus%5B%5D=1712255)

Highlighted products: Cursor, GitHub Copilot, Claude, Claude Code, Replit, Gemini, Amazon Q Developer, and IBM Bob.

Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-coding-assistants/grids.json?focus%5B%5D=cursor&focus%5B%5D=github-copilot&focus%5B%5D=claude-2025-12-11&focus%5B%5D=anthropic-claude-code&focus%5B%5D=replit&focus%5B%5D=google-gemini&focus%5B%5D=amazon-q-developer&focus%5B%5D=ibm-bob)

### [Cursor](https://www.g2.com/products/cursor/reviews)

Cursor is an agentic coding platform for enterprises building ambitious software. With access to frontier models, developers can focus on higher-level direction, while agents drive implementation and code review. Used by 64% of Fortune 500 companies, Cursor accelerates software development without compromising quality, control, or security. Key Features and Functionality: - Agentic development workflows: Cursor helps developers delegate coding tasks to agents while staying in control of direction, review, and iteration. Teams can use Cursor across desktop, CLI, web, and mobile for a consistent workflow wherever they work. - Cloud Agents: Cursor supports cloud-based agents for longer-running and more scalable development tasks. Recent Cloud Agents API updates added durable agents, run-scoped follow-ups, streaming, cancellation, and clearer lifecycle controls for managing agent work in the cloud. - Code review and parallel execution: Recent releases introduced a new PR review experience with inline review threads, commit history, and a file-tree changes picker, along with support for building in parallel and splitting work into reviewable PRs automatically. - Next-action prediction: Cursor Tab provides fast, context-aware code completion that predicts the next action, suggests multi-line edits, and helps developers move through routine coding tasks with less manual effort. - Context visibility and control: Context Usage Breakdown gives developers visibility into how agent context is spent across rules, skills, MCPs, and subagents, making it easier to diagnose issues and improve setup quality. - Enterprise admin controls and analytics: Cursor includes more granular model access controls, updated spend management with soft limits and intelligent alerts, and usage analytics that can be filtered by user and broken down by product surface. - Security Review: Cursor Security Review adds always-on security agents for PR review and codebase scanning. These agents can identify vulnerabilities, auth regressions, privacy and data-handling risks, outdated dependencies, and configuration issues, while integrating with existing security tooling. - Custom extensions and team distribution: Team Marketplace makes it easier for organizations to distribute and manage plugins that bundle MCP servers, skills, subagents, rules, and hooks, helping standardize how teams extend Cursor. - Programmable automation with the Cursor SDK: Cursor SDK enables teams to build programmatic agents with the same runtime, harness, and models that power Cursor, extending agent workflows beyond the IDE into custom automations and internal tools. Primary Value and User Solutions: Cursor helps engineering organizations accelerate software development without compromising quality, control, or security. It gives developers a faster way to write, review, and improve code, while giving platform and engineering leaders the visibility and governance they need to manage usage at scale. By combining agentic development, cloud execution, enterprise controls, extensibility, and built-in security capabilities, Cursor supports teams that want to ship ambitious software more efficiently and with greater confidence.

**Average Rating:** 4.6/5.0

**Total Reviews:** 307

#### Who Is the Company Behind Cursor?

- **Seller:** [Cursor](https://www.g2.com/sellers/cursor)
- **Company Website:** www.cursor.com
- **Year Founded:** 2022
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 70% Small, 19% Medium

#### What Do G2 Reviewers Say About Cursor?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** in Cursor, benefiting from intelligent suggestions and seamless multi-file editing.
- Users praise **Coding Assistance** in Cursor for its intelligent context awareness and efficient multi-file editing capabilities.
- Users love the **intelligent AI-powered suggestions** that enhance coding efficiency and streamline complex tasks effortlessly.
- Users love the **fast context-aware suggestions** of Cursor, making coding and debugging significantly quicker and more efficient.
- Users value the **intelligent problem-solving** capabilities of Cursor, enhancing coding efficiency and facilitating learning effectively.

##### Cons

- Users often face **poor coding** challenges with Cursor, requiring careful review due to inaccuracies and complexity in generated code.
- Users find Cursor to be somewhat **expensive** , especially with additional costs for advanced features and increased limits.
- Users report **inaccuracies in suggestions** from Cursor, particularly in complex scenarios, affecting overall reliability.
- Users experience **slow performance** with Cursor on larger projects, affecting efficiency and workflow during usage.
- Users find Cursor's **poor suggestions** disrupt workflows with off-target and overly complex AI responses for specialized coding tasks.

#### What Are Recent G2 Reviews of Cursor?

**["Simple UI and Amazing AI Coding Help for Building Websites"](https://www.g2.com/survey_responses/cursor-review-13067732)**

**Rating:** 5.0/5.0 stars

_— Tejas G._

[Read full review](https://www.g2.com/survey_responses/cursor-review-13067732)

**["Full-Repo Context Makes Cursor a Powerful Development Assistant"](https://www.g2.com/survey_responses/cursor-review-12962412)**

**Rating:** 5.0/5.0 stars

_— Bo K._

[Read full review](https://www.g2.com/survey_responses/cursor-review-12962412)

### [GitHub Copilot](https://www.g2.com/products/github-copilot/reviews)

GitHub Copilot helps more than 1 million developers and over 20,000 businesses push what’s possible in software development. Based on powerful LLMs, including OpenAI’s GPT models, this AI pair programmer helps developers write code faster and with less work by drawing context from comments and code to suggest individual lines and whole functions instantly. All languages are supported, however the more common a language, the better represented it will be in the training data and the more robust suggestions will be.

**Average Rating:** 4.4/5.0

**Total Reviews:** 374

#### Who Is the Company Behind GitHub Copilot?

- **Seller:** [GitHub](https://www.g2.com/sellers/github)
- **Year Founded:** 2008
- **HQ Location:** San Francisco, CA
- **Twitter:** @github  
2,673,925 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 36% Small, 32% Medium

#### What Do G2 Reviewers Say About GitHub Copilot?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of GitHub Copilot, seamlessly integrating into their coding workflow and enhancing productivity.
- Users value the **seamless coding assistance** from GitHub Copilot, enhancing productivity and supporting learning for new programmers.
- Users appreciate how GitHub Copilot significantly enhances **productivity by generating relevant code and suggestions in real-time**.
- Users value the **effective problem-solving capabilities** of GitHub Copilot, providing timely solutions and smart coding suggestions.
- Users value the **efficiency** of GitHub Copilot for reducing errors and simplifying the coding process.

##### Cons

- Users find that **poor coding accuracy** can lead to unhelpful suggestions and inconsistent code generation experiences.
- Users find **poor suggestions** from GitHub Copilot can lead to inaccuracies and require careful review before use.
- Users find GitHub Copilot **expensive** , which can be a barrier for students and new developers to access its features.
- Users often experience **inaccuracy issues** with GitHub Copilot, leading to mistakes and increased review times for solutions.
- Users experience **context understanding issues** with GitHub Copilot, leading to confusion and inefficiencies in coding tasks.

#### What Are Recent G2 Reviews of GitHub Copilot?

**["GitHub Copilot Supercharges Productivity with Context-Aware Code Suggestions"](https://www.g2.com/survey_responses/github-copilot-review-13076939)**

**Rating:** 5.0/5.0 stars

_— Ashish R._

[Read full review](https://www.g2.com/survey_responses/github-copilot-review-13076939)

**["A highly productive mobile companion for repository management and brainstorming code logic"](https://www.g2.com/survey_responses/github-copilot-review-13138457)**

**Rating:** 4.0/5.0 stars

_— Chandra K._

[Read full review](https://www.g2.com/survey_responses/github-copilot-review-13138457)

### [Claude](https://www.g2.com/products/claude-2025-12-11/reviews)

Claude is a state-of-the-art large language model (LLM) developed by Anthropic, designed to serve as a helpful, honest, and harmless AI assistant. With its advanced reasoning capabilities and conversational tone, Claude excels in tasks ranging from complex coding to in-depth financial analysis, making it a versatile tool for developers, enterprises, and financial professionals. Key Features and Functionality: - Advanced Coding Capabilities: Claude Opus 4 leads in coding performance, achieving top scores on benchmarks like SWE-bench and Terminal-bench. It supports sustained, long-running tasks, enabling continuous work for several hours, which is ideal for complex software development projects. - Financial Analysis Tools: Claude integrates seamlessly with financial data platforms such as Databricks and Snowflake, providing a unified interface for market analysis, research, and investment decision-making. It offers direct hyperlinks to source materials for instant verification, enhancing the efficiency of financial workflows. - Extended Context Windows: With an enhanced 500k context window available in Claude Sonnet 4, users can upload extensive documents, including hundreds of sales transcripts or large codebases, facilitating comprehensive analysis and collaboration. - Tool Use and Integration: Claude's extended thinking capabilities allow it to utilize tools like web search during reasoning processes, improving response accuracy. It also supports background tasks via GitHub Actions and integrates natively with development environments like VS Code and JetBrains for seamless pair programming. - Enterprise-Grade Security: The Claude Enterprise plan offers advanced security features, including Single Sign-On (SSO), Just-in-Time Provisioning (JIT), role-based permissions, audit logs, and custom data retention controls, ensuring data safety and compliance for organizations. Primary Value and User Solutions: Claude addresses the need for a reliable and intelligent AI assistant capable of handling complex tasks across various domains. For developers, it enhances productivity through advanced coding support and integration with development tools. Financial professionals benefit from its ability to unify and analyze diverse data sources, streamlining research and decision-making processes. Enterprises gain from its scalable solutions and robust security features, enabling efficient and secure deployment of AI capabilities within their operations. Overall, Claude empowers users to achieve higher efficiency, accuracy, and innovation in their respective fields.

**Average Rating:** 4.6/5.0

**Total Reviews:** 405

#### Who Is the Company Behind Claude?

- **Seller:** [Anthropic](https://www.g2.com/sellers/anthropic-b3e27488-b6f4-49c9-a8c7-d860a4207ff3)
- **HQ Location:** San Francisco, California
- **Twitter:** @AnthropicAI  
1,440,248 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Analyst
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 52% Small, 34% Medium

#### What Do G2 Reviewers Say About Claude?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Claude, enabling them to create clear and structured educational content effortlessly.
- Users commend Claude for its **ability to maintain long, deep discussions** , enhancing their intellectual and creative projects.
- Users find Claude to be **exceptionally helpful** for deep discussions and managing various intellectual tasks effectively.
- Users value the **accurate results** provided by Claude, enhancing their efficiency and experience with the tool.
- Users value Claude's **clear and structured communication** , enhancing their ability to educate and inform effectively.

##### Cons

- Users find **usage limitations** frustrating, especially with access restrictions and inconsistent performance impacting their experience.
- Users find Claude has **significant limitations** in visual content support, integration, and responsiveness, affecting efficiency and creativity.
- Users find Claude's **limited functionality** restrictive, particularly in visual content support and research speed.
- Users find Claude overly cautious and **slow to respond** , which can hinder quick and efficient communication.
- Users express concern over **resource limitations** like token usage and search caps, affecting productivity significantly.

#### What Are Recent G2 Reviews of Claude?

**["Exceptional Long-Context Reasoning That Boosts Productivity"](https://www.g2.com/survey_responses/claude-review-13069341)**

**Rating:** 5.0/5.0 stars

_— Supriya S._

[Read full review](https://www.g2.com/survey_responses/claude-review-13069341)

**["Claude’s Impressive Coding and Reasoning—A Real Time-Saver for Engineers"](https://www.g2.com/survey_responses/claude-review-13166368)**

**Rating:** 4.0/5.0 stars

_— Darshil M._

[Read full review](https://www.g2.com/survey_responses/claude-review-13166368)

### [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews)

Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. Available in your terminal, IDE, desktop app, and browser. Claude Code is an AI-powered coding assistant that helps you build features, fix bugs, and automate development tasks. It understands your entire codebase and can work across multiple files and tools to get things done.

**Average Rating:** 4.7/5.0

**Total Reviews:** 108

#### Who Is the Company Behind Claude Code?

- **Seller:** [Anthropic](https://www.g2.com/sellers/anthropic-b3e27488-b6f4-49c9-a8c7-d860a4207ff3)
- **HQ Location:** San Francisco, California
- **Twitter:** @AnthropicAI  
1,440,248 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 60% Small, 32% Medium

#### What Are Recent G2 Reviews of Claude Code?

**["Great VSCode Plugin Integration for Terminal, Git, and Model Selection"](https://www.g2.com/survey_responses/claude-code-review-13149275)**

**Rating:** 5.0/5.0 stars

_— Daniel R._

[Read full review](https://www.g2.com/survey_responses/claude-code-review-13149275)

**["A coding assistant that actually works inside my project"](https://www.g2.com/survey_responses/claude-code-review-13161499)**

**Rating:** 5.0/5.0 stars

_— Peter S._

[Read full review](https://www.g2.com/survey_responses/claude-code-review-13161499)

## FAQs About AI Coding Assistants Software

Generated using AI

Last updated: June 3, 2026

### Coding assistants with strong context awareness for maintaining consistency across multi-file projects

According to verified users, strong context awareness shows up when an assistant can follow project structure across files, understand existing naming and code patterns, and make coordinated edits without forcing developers to re-explain the same logic. Recent reviewers consistently value tools that can scan folders, highlight diffs, and help teams work through large or multi-file changes while staying aligned to established architecture. At the same time, users also warn that context can still break down in larger or more complex codebases, which leads to inconsistent style, repetitive suggestions, or changes that do not fully match project-specific logic. Buyers often look for strong review visibility and easy rollback when evaluating this capability.

### Coding assistants with seamless VS Code integration that don't slow development on large codebases

According to verified users, seamless VS Code integration means suggestions appear directly in the editor, setup is quick, and common tasks like debugging, code explanation, and code generation happen without leaving the workflow. Reviewers frequently describe value in smooth onboarding, familiar interfaces, inline suggestions, and built-in diff views that reduce tab switching. Performance matters just as much as integration, though. Users call out slowdowns, laggy interfaces, memory use, or delayed responses as major friction when working in larger repositories. In recent reviews, buyers favor tools that keep the editor responsive while still helping with refactoring, navigation, planning, and multi-file work, especially when deadlines are tight and context switching is expensive.

### AI Coding Assistants tools that maintain performance on large codebases without introducing IDE slowdowns or memory bloat

Based on G2 reviews, these products are repeatedly mentioned for large-codebase work and editor-based development.

- [GitHub Copilot](https://www.g2.com/products/github-copilot) — editor-native suggestions and code diffs.
- [Cursor](https://www.g2.com/products/cursor) — multi-file context and plan modes.
- [Claude Code](https://www.g2.com/products/anthropic-claude-code) — codebase analysis and terminal workflows.
- [Windsurf](https://www.g2.com/products/exafunction-windsurf) — codebase-aware edits and AI assistance.

### What are the most important features in ai coding assistants

According to verified users, the most important features in ai coding assistants are context-aware suggestions, fast code generation, debugging help, multi-file editing, and smooth IDE workflows. Recent reviews also highlight value in diff visibility, code explanation, test generation, and support for repetitive work like boilerplate, documentation, and refactoring. Buyers repeatedly mention that strong assistants reduce tab switching by keeping help inside the editor and by understanding surrounding files, not just the active snippet. Integration matters too, especially with environments like VS Code and terminal-based workflows. At the same time, reviewers want guardrails: reliable suggestions, clear change tracking, and enough context retention to avoid inconsistent outputs in large or fast-moving projects.

### How do teams use AI Coding Assistants for debugging

According to verified users, teams use AI Coding Assistants for debugging by asking them to explain unfamiliar code, trace likely causes of failures, suggest fixes, and generate revised code without leaving the development environment. Recent reviews describe debugging workflows that include reviewing diffs, identifying edge cases, refining tests, and reducing the time spent searching documentation or forum threads. Users especially value assistants that can work across files, inspect project context, and support debugging inside the editor or terminal. Still, reviewers consistently note that outputs require human review, particularly for complex logic, project-specific constraints, or security-sensitive changes. For buyers, the strongest debugging experiences combine speed, context awareness, and easy validation of suggested fixes.

### [Replit](https://www.g2.com/products/replit/reviews)

Replit turns your ideas into apps, fast. With Replit, anyone—technical or non-technical—can build and deploy fully-functional, full-stack apps directly from their browser, without any installation, setup, or configuration. Replit's Agent and Assistant enables you to create entire applications from natural language, turning bullet points into working apps in minutes. Its built-in tools, including databases and deployment features, allow you to launch with a single click. Replit bridges the gap between non-technical and technical users, driving collaboration for everything from product roadmaps and prototypes to custom APIs and internal tools. Replit empowers everyone to not just consume software but to create it, transforming app development into an accessible, instant, and impactful process. Go from 'why doesn't this app exist?' to building it for yourself.

**Average Rating:** 4.5/5.0

**Total Reviews:** 397

#### Who Is the Company Behind Replit?

- **Seller:** [Replit](https://www.g2.com/sellers/replit)
- **Year Founded:** 2016
- **HQ Location:** San Francisco, US
- **Twitter:** @Replit  
234,474 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder, CEO
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 66% Small, 12% Medium

#### What Do G2 Reviewers Say About Replit?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Replit's **ease of use** invaluable, enabling seamless prototyping and deployment of sophisticated applications effortlessly.
- Users value Replit for its **instant coding and execution** capabilities, enhancing prototyping and collaborative development swiftly.
- Users commend the **implementation ease** of Replit, praising its user-friendly setup for building applications effortlessly.
- Users value the **time-saving features** of Replit, allowing for rapid prototyping and seamless deployment of applications.
- Users find Replit's **coding assistance invaluable** , enabling effortless project development and enhancing coding skills for beginners and pros alike.

##### Cons

- Users find Replit **expensive** due to confusing pricing, unexpected charges, and difficulties in estimating project costs.
- Users express frustration over the **rapid depletion of credits** , making cost management and usage transparency a challenge.
- Users experience **poor coding** with Replit, leading to wasted resources and frustrating errors in complex projects.
- Users experience **system unreliability** with Replit, facing issues like time-consuming loops and broken functionality during projects.
- Users experience **slow performance** with Replit, particularly during edits, which can hinder project development and usability.

#### What Are Recent G2 Reviews of Replit?

**["Zero-Setup Replit Cloud Dev That Makes Rapid Prototyping Lightning-Fast"](https://www.g2.com/survey_responses/replit-review-13138653)**

**Rating:** 4.5/5.0 stars

_— Vaibhav T._

[Read full review](https://www.g2.com/survey_responses/replit-review-13138653)

**["Coding anywhere: the browser based revolution."](https://www.g2.com/survey_responses/replit-review-13164550)**

**Rating:** 4.5/5.0 stars

_— Arjun s._

[Read full review](https://www.g2.com/survey_responses/replit-review-13164550)

#### What Are G2 Users Discussing About Replit?

- [Does Repl.it have GUI?](https://www.g2.com/discussions/does-repl-it-have-gui) - 1 comment, 1 upvote
- [What is REPL software?](https://www.g2.com/discussions/what-is-repl-software) - 2 comments
- [What is Repl.it good for?](https://www.g2.com/discussions/what-is-repl-it-good-for) - 2 comments

### [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

#### 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)

### [Amazon Q Developer](https://www.g2.com/products/amazon-q-developer/reviews)

Amazon Q Developer is a generative AI-powered assistant designed to enhance the entire software development lifecycle. It integrates seamlessly into various development environments, offering real-time code suggestions, automating routine tasks, and providing expert guidance on AWS services. By leveraging advanced AI capabilities, Amazon Q Developer aims to boost developer productivity, improve code quality, and streamline operations. Key Features and Functionality: - Real-Time Code Suggestions: Generates code snippets and full functions based on comments and existing code, supporting multiple programming languages. - Inline Chat and CLI Support: Offers inline chat within code editors and command-line interface (CLI) completions, including natural language-to-bash translation. - Security and Reliability Enhancements: Scans code for vulnerabilities, suggests remediations, and assists in writing unit tests to optimize code performance. - Agentic Capabilities: Autonomously performs tasks such as implementing features, documenting, testing, reviewing, refactoring code, and executing software upgrades. - AWS Integration: Provides expert assistance on AWS services, helping to optimize cloud resources, analyze costs, and adhere to architectural best practices. - Multi-Platform Availability: Compatible with popular integrated development environments (IDEs) like JetBrains, Visual Studio Code, Eclipse, and Visual Studio, as well as command-line interfaces and chat applications like Microsoft Teams and Slack. Primary Value and User Solutions: Amazon Q Developer addresses common challenges in software development by automating time-consuming tasks, reducing the cognitive load on developers, and enhancing code quality. Its integration with AWS services ensures that applications are built following best practices, leading to more efficient and secure cloud operations. By providing real-time assistance and automating routine processes, Amazon Q Developer enables developers to focus on innovation and delivering value to their users.

**Average Rating:** 4.6/5.0

**Total Reviews:** 50

#### Who Is the Company Behind Amazon Q Developer?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Small, 31% Large

#### What Do G2 Reviewers Say About Amazon Q Developer?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Amazon Q Developer for speeding up coding and debugging processes.
- Users value the **coding assistance** of Amazon Q Developer, enhancing learning and speeding up development processes.
- Users value the **easy integrations** of Amazon Q Developer, enhancing coding assistance and troubleshooting for AWS tasks.
- Users appreciate the **context-aware code suggestions** and guidance of Amazon Q Developer, enhancing learning and coding efficiency.
- Users appreciate the **seamless integration and multi-language support** of Amazon Q Developer, enhancing productivity and learning experiences.

##### Cons

- Users face **poor suggestions** from Amazon Q Developer, causing confusion with incomplete or incorrect code recommendations.
- Users experience **inaccuracy** in suggestions, affecting code performance and usability, especially for complex scenarios.
- Users experience **irrelevant or generic responses** with Amazon Q Developer, especially for niche coding patterns and frameworks.
- Users find the **poor integration** with other tools and AWS credentials cumbersome, affecting learning and functionality.
- Users report **slow performance** when handling large files, affecting overall usability and generating awkward suggestions.

#### What Are Recent G2 Reviews of Amazon Q Developer?

**["Context-Aware AWS Coding Help That Keeps Me in the IDE"](https://www.g2.com/survey_responses/amazon-q-developer-review-13160466)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-q-developer-review-13160466)

**["Amazon Q Developer Speeds Up Development with Helpful Code Generation and Explanations"](https://www.g2.com/survey_responses/amazon-q-developer-review-13149880)**

**Rating:** 4.5/5.0 stars

_— Brian A._

[Read full review](https://www.g2.com/survey_responses/amazon-q-developer-review-13149880)

### [IBM Bob](https://www.g2.com/products/ibm-bob/reviews)

IBM Bob is an AI-assisted development tool designed to support developers across the software development lifecycle. It helps interpret developer intent and provides assistance when working with real-world codebases by using contextual awareness of the surrounding project. Bob operates across different environments and can support a range of development activities, including understanding existing code, generating suggested changes, and helping with end-to-end tasks. It is intended to function as a development support system that aids reasoning and decision-making while allowing developers to maintain control over outputs. Built for enterprise-scale teams, IBM Bob is designed to work with large and complex codebases where maintaining context is important. It emphasizes transparency and reviewability by surfacing proposed changes and aligning with standard development workflows and controls. This enables teams to improve efficiency while supporting code quality and governance.

**Average Rating:** 4.4/5.0

**Total Reviews:** 24

#### Who Is the Company Behind IBM Bob?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **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®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 46% Small, 38% Medium

#### What Are Recent G2 Reviews of IBM Bob?

**["A Comprehensive Dev Environment That Saves Time from Idea to Deployment"](https://www.g2.com/survey_responses/ibm-bob-review-13180928)**

**Rating:** 4.5/5.0 stars

_— Oscar D._

[Read full review](https://www.g2.com/survey_responses/ibm-bob-review-13180928)

**["IBM Bob Makes Change Planning Simple and Efficient"](https://www.g2.com/survey_responses/ibm-bob-review-13117886)**

**Rating:** 4.0/5.0 stars

_— Bervianto Leo P._

[Read full review](https://www.g2.com/survey_responses/ibm-bob-review-13117886)

### [Codex](https://www.g2.com/products/openai-codex/reviews)

Codex is OpenAI’s agentic coding partner built to accelerate real engineering work end-to-end, helping you plan, implement features, refactor, review, and ship releases while fitting into the tools and workflows developers already use. Rather than acting like a chat-only assistant, it’s positioned as a “build with agents” experience that can take on substantive tasks (and context) across a codebase so you spend less time on repetitive execution and more time on decisions, design, and quality. In short: it’s meant to feel like an always-available engineering teammate that helps move work from idea to merged output faster.

**Average Rating:** 4.8/5.0

**Total Reviews:** 17

#### Who Is the Company Behind Codex?

- **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?

- **Top Industries:** Computer Software
- **Company Size:** 41% Small, 29% Large

#### What Are Recent G2 Reviews of Codex?

**["Codex accelerates development with fast and useful solutions"](https://www.g2.com/survey_responses/codex-review-12998086)**

**Rating:** 4.5/5.0 stars

_— Jose M._

[Read full review](https://www.g2.com/survey_responses/codex-review-12998086)

**["Production-Grade Coding with Codex and Seamless Integrations."](https://www.g2.com/survey_responses/codex-review-13002449)**

**Rating:** 5.0/5.0 stars

_— Chaitanya V._

[Read full review](https://www.g2.com/survey_responses/codex-review-13002449)

### [IBM watsonx Code Assistant](https://www.g2.com/products/ibm-watsonx-code-assistant/reviews)

IBM watsonx Code Assistant is a solution that leverages generative AI to accelerate code generation and increase developer productivity. Purpose-built for targeted use cases, watsonx Code Assistant uses AI to support Application Modernization and IT Automation. Out-of-the-box, watsonx Code Assistant provides pre-trained models based on specific programming languages to ensure trust and efficiency for accurate code generation. IBM watsonx Code Assistant allows you to customize the underlying model(s) to ensure output is grounded in your organization's best practices, while providing visibility into the potential origin of generated code.

**Average Rating:** 4.2/5.0

**Total Reviews:** 56

#### Who Is the Company Behind IBM watsonx Code Assistant?

- **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?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Small, 36% Large

#### What Do G2 Reviewers Say About IBM watsonx Code Assistant?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of IBM watsonx Code Assistant, noting its intuitive interface and quick installation.
- Users value the **coding assistance** of IBM watsonx Code Assistant for its ease in explaining and modernizing legacy code.
- Users find the **helpful resources** in IBM watsonx Code Assistant invaluable for developing mainframe applications effectively.
- Users value the **exceptional problem-solving capability** of IBM watsonx Code Assistant, enhancing code understanding and contextually relevant solutions.
- Users appreciate the **advanced AI capabilities** of IBM Watsonx Code Assistant, providing accurate support for coding tasks.

##### Cons

- Users have noted the **inaccuracy** of IBM Watsonx Code Assistant, often leading to misinformation and a frustrating experience.
- Users experience **poor coding** that often leads to wasted time and frustration when correcting non-functional recommendations.
- Users find that IBM watsonx Code Assistant has **poor reasoning skills** , often leading to ineffective code suggestions and confusion.
- Users find the **complexity issues** of IBM watsonx Code Assistant to hinder customization and overall usability.
- Users find the **pricing prohibitive** for smaller customers, making adoption and sales challenging for executives.

#### What Are Recent G2 Reviews of IBM watsonx Code Assistant?

**["Makes Coding Faster and Less Stressful with Helpful, Time-Saving Suggestions"](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-review-11397975)**

**Rating:** 4.0/5.0 stars

_— Harsh S._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-review-11397975)

**["Boosts Development Efficiency with Intelligent Code Automation"](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-review-12860775)**

**Rating:** 4.0/5.0 stars

_— Verified User_

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-code-assistant-review-12860775)

### [CodeRabbit](https://www.g2.com/products/coderabbit/reviews)

CodeRabbit is an AI-powered code reviewer that provides a context-aware reviews with line-by-line code change suggestions and chat that gets smarter over time. 

**Average Rating:** 4.5/5.0

**Total Reviews:** 60

#### Who Is the Company Behind CodeRabbit?

- **Seller:** [CodeRabbit](https://www.g2.com/sellers/coderabbit)
- **Year Founded:** 2023
- **HQ Location:** Walnut Creek, California
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d7feaa9e523ecd9b54ed54807f9bdbbee610612abc962e333cce912481a0a776&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoderabbitai%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
210 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 74% Small, 16% Medium

#### What Do G2 Reviewers Say About CodeRabbit?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **actionable insights** provided by CodeRabbit in PR reviews, enhancing code quality and team collaboration.
- Users value the **helpful PR Review system** of CodeRabbit, enhancing team collaboration and code quality significantly.
- Users love the **superb ease of setup** with CodeRabbit, quickly linking it to their GitHub repos for instant functionality.
- Users find CodeRabbit to be **extremely easy to use** , enhancing their coding experience with seamless integration and useful suggestions.
- Users value CodeRabbit for its **effective debugging capabilities** , enhancing daily coding practices and team productivity.

##### Cons

- Users note that CodeRabbit has **improvement needed** due to nonsensical suggestions and incorrect feedback affecting usability.
- Users commonly experience a **lack of features** in CodeRabbit that limits its usability and efficiency for various projects.
- Users experience **slow performance** with CodeRabbit, facing delays in loading and inefficient backend interactions.
- Users report **software bugs** leading to incorrect suggestions, causing some frustration during the coding process.
- Users find the **backend UI unintuitive and slow** , which hampers their overall experience despite ongoing improvements.

#### What Are Recent G2 Reviews of CodeRabbit?

**["AI-Powered PR Reviews That Boost Code Quality and Security"](https://www.g2.com/survey_responses/coderabbit-review-13175930)**

**Rating:** 4.5/5.0 stars

_— Roshan R._

[Read full review](https://www.g2.com/survey_responses/coderabbit-review-13175930)

**["Streamlines Code Reviews with Precision"](https://www.g2.com/survey_responses/coderabbit-review-13176845)**

**Rating:** 5.0/5.0 stars

_— Upmi S._

[Read full review](https://www.g2.com/survey_responses/coderabbit-review-13176845)

### [Qodo](https://www.g2.com/products/qodo/reviews)

Qodo is the AI Code Quality and Governance Platform that helps engineering teams maintain code quality as AI accelerates coding velocity. Qodo works across IDEs and Git platforms to catch bugs earlier, enforce standards automatically, and scale review to match faster coding output. Qodo combines deep codebase understanding with a self-learning rules system and multi-agent review to validate code logic, detect architectural drift, surface security issues, and enforce standards before merge. Qodo goes beyond pattern matching or static AI reviews by combining full codebase context, PR memory, and your rules to deliver high-signal feedback that aligns with your project's unique architecture and standards. Key capabilities include agentic pull request review with context-enriched code suggestions, local code review in your IDE, custom rules enforcement, and multi-repo codebase indexing.

**Average Rating:** 4.6/5.0

**Total Reviews:** 87

#### Who Is the Company Behind Qodo?

- **Seller:** [CodiumAI](https://www.g2.com/sellers/codiumai)
- **Company Website:** www.codium.ai
- **Year Founded:** 2022
- **HQ Location:** Tel Aviv, IL
- **Twitter:** @CodiumAI  
109 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ac2f2f61987a9648c5b1c231a4b5f8e4c22a14c216c42587faf0ef49bba53b4d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcodiumai%2F&secure%5Burl_type%5D=linkedin_company_website)  
134 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 56% Small, 25% Medium

#### What Do G2 Reviewers Say About Qodo?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Qodo incredibly **easy to use** , with seamless integration into Visual Studio Code right from the start.
- Users value the **time-saving features** of Qodo, enhancing productivity and improving code quality during development.
- Users appreciate the **context-aware functionality** of Qodo, enhancing productivity with tailored suggestions and easy integration.
- Users value the **robust functionality** of Qodo, especially for its automated testing and intelligent code suggestions.
- Users highlight the **automation capabilities** of Qodo, enhancing productivity with effortless test generation and code suggestions.

##### Cons

- Users face **testing issues** with Qodo, including inaccurate suggestions and unit tests that often require repeated attempts to function.
- Users report **bug issues** in Qodo, with occasional inaccuracies and context misunderstandings affecting overall performance.
- Users note a **steep learning curve** for Qodo, requiring tutorials and time to become proficient with the features.
- Users experience **slow performance** with Qodo, noting delays in code suggestions and challenges with excessive test recommendations.
- Users find that Qodo can sometimes struggle with **complex coding tasks** , which can hinder their overall experience.

#### What Are Recent G2 Reviews of Qodo?

**["Qodo Streamlines Development with Fast AI Code Suggestions and Reviews"](https://www.g2.com/survey_responses/qodo-review-13184046)**

**Rating:** 5.0/5.0 stars

_— Atharva S._

[Read full review](https://www.g2.com/survey_responses/qodo-review-13184046)

**["My Code Reviewer While Building sphragio.ai Solo"](https://www.g2.com/survey_responses/qodo-review-13170576)**

**Rating:** 5.0/5.0 stars

_— Reinfried B._

[Read full review](https://www.g2.com/survey_responses/qodo-review-13170576)

### [Windsurf](https://www.g2.com/products/exafunction-windsurf/reviews)

Codeium is a free AI-powered coding assistant that accelerates development by providing intelligent code autocompletion in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Codeium, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Codeium understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Codeium is your go-to solution for boosting productivity and writing better code. Try Codeium for free today and experience the future of AI-powered coding!

**Average Rating:** 4.3/5.0

**Total Reviews:** 35

#### Who Is the Company Behind Windsurf?

- **Seller:** [Exafunction](https://www.g2.com/sellers/exafunction)
- **Year Founded:** 2021
- **HQ Location:** Mountain View, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 49% Medium, 43% Small

#### What Do G2 Reviewers Say About Windsurf?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Windsurf, appreciating its intuitive AI assistance and quick troubleshooting support.
- Users praise the **intelligent coding assistance** of Windsurf, enhancing productivity and providing quick, context-aware suggestions.
- Users value the **intelligent AI assistance** of Windsurf, enhancing productivity and streamlining their coding workflow effectively.
- Users love the **seamless AI integration** in Windsurf, enhancing workflow efficiency with versatile code assistant options.
- Users value the **easy integrations** of Windsurf, enhancing workflow with seamless connections to various AI code assistants.

##### Cons

- Users find the **missing features** in Windsurf challenging, hindering productivity compared to more mature IDEs.
- Users experience **poor suggestions** from Windsurf, often needing manual adjustments that disrupt their workflow and efficiency.
- Users experience **occasional irrelevant suggestions** from Windsurf, disrupting workflow with contextually inaccurate recommendations.
- Users express concern over the **credit system** , noting high costs and inefficiencies that impact task handling with agents.
- Users report **poor coding** in Windsurf, with frequent agent mistakes and slow response times affecting their overall experience.

#### What Are Recent G2 Reviews of Windsurf?

**["Windsurf Speeds Up Development with an Easy, Productive Workflow"](https://www.g2.com/survey_responses/windsurf-review-11675123)**

**Rating:** 4.0/5.0 stars

_— Avi P._

[Read full review](https://www.g2.com/survey_responses/windsurf-review-11675123)

**["Windsurf Supercharged My Playwright Workflow with Context-Aware AI"](https://www.g2.com/survey_responses/windsurf-review-13166826)**

**Rating:** 5.0/5.0 stars

_— Sree K._

[Read full review](https://www.g2.com/survey_responses/windsurf-review-13166826)

### [Amp](https://www.g2.com/products/amp-code-amp/reviews)

Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Sourcegraph accelerates the entire workflow for developers by providing them a more natural and intuitive way to work. Searching code, chatting with AI, invoking prompts, and using agents can now all be performed in one place with the best models available. Features: 🤖 Agentic chat: Designed to simplify and accelerate developer workflows, Sourcegraph uses a combination of search, AI chat, and prompts in a single interface to streamline how you explore, understand, and generate code. ✨ Auto-edit: Autocompletes single lines, or whole functions, in any programming language, configuration file, or documentation. It’s powered by the latest instant LLM models, for accuracy and performance. 📚 Prompt Library: Streamline your development process by using prompts to understand, improve, fix, document, and generate unit tests for your code. You can also create your own prompts and save them in the Prompt Library to tailor Sourcegraph to your workflow. Cody works with major code hosts like GitHub, GitLab, and Bitbucket, and offers industry-leading LLM flexibility with support for the most powerful models from OpenAI, Anthropic, and more. 🧠 The Best Context: When tools focus solely on individual productivity, teams face inconsistent and poor-quality results. Sourcegraph focuses on team productivity using whole codebase context and shared prompts to ensure quality and consistency across your enterprise.

**Average Rating:** 4.5/5.0

**Total Reviews:** 91

#### Who Is the Company Behind Amp?

- **Seller:** [Amp Code](https://www.g2.com/sellers/amp-code)
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 70% Small, 20% Medium

#### What Do G2 Reviewers Say About Amp?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **ease of use** in Amp allows quick setup and seamless integration for web projects.
- Users highly value the **seamless IDE integration** of Cody, enhancing their development workflow and productivity significantly.
- Users value the **ease of use and accessibility** of Amp, enabling seamless website and application development for everyone.
- Users enjoy the **easy integrations** of Amp, allowing seamless use across multiple platforms and CMS options.
- Users value the **instant loading speed** and seamless integration of AMP, enhancing their mobile browsing experience significantly.

##### Cons

- Users express frustration with **limited customization** , affecting branding and unique page designs in Amp.
- Users struggle with **poor coding** , citing slow performance and subpar UI responses that hinder their overall experience.
- Users experience **context understanding challenges** with Amp, often struggling with incomplete code access and manual file re-additions.
- Users express concerns about **poor customer support** , highlighting a lack of reliable assistance and inadequate documentation.
- Users report **slow performance** with AMP, particularly in comparison to more modern technology stacks.

#### What Are Recent G2 Reviews of Amp?

**["Context-Aware Coding Help That Boosts Productivity"](https://www.g2.com/survey_responses/amp-review-13142658)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/amp-review-13142658)

**["Intuitive Interface and Workflow Automation That Boost Productivity."](https://www.g2.com/survey_responses/amp-review-13075885)**

**Rating:** 5.0/5.0 stars

_— Aarti C._

[Read full review](https://www.g2.com/survey_responses/amp-review-13075885)

#### What Are G2 Users Discussing About Amp?

- [What is Sourcegraph used for?](https://www.g2.com/discussions/what-is-sourcegraph-used-for)

### [WindSurf AI IDE](https://www.g2.com/products/windsurf-ai-ide/reviews)

Codeium is an advanced AI-powered code assistant designed to enhance developer productivity by providing real-time code suggestions, autocompletions, and error detection. It integrates seamlessly with various Integrated Development Environments (IDEs), offering support for multiple programming languages. Key Features and Functionality: - Real-Time Code Suggestions: Offers intelligent code completions to speed up the coding process. - Error Detection: Identifies potential errors and suggests corrections to improve code quality. - Multi-Language Support: Compatible with a wide range of programming languages, catering to diverse development needs. - IDE Integration: Easily integrates with popular IDEs, providing a smooth and efficient coding experience. Primary Value and User Benefits: Codeium addresses common challenges faced by developers, such as time-consuming code writing and debugging. By automating code suggestions and error detection, it reduces development time and minimizes coding errors, leading to more efficient and reliable software development.

**Average Rating:** 4.2/5.0

**Total Reviews:** 17

#### Who Is the Company Behind WindSurf AI IDE?

- **Seller:** [Cognition, Inc](https://www.g2.com/sellers/cognition-inc)
- **Year Founded:** 2021
- **HQ Location:** Mountain View, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=99a5fbae73320de7f1754b71719417f60b9909cb86c5ac4e1b0d19d5907f3758&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwindsurf%2F&secure%5Burl_type%5D=linkedin_company_website)  
117 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 50% Medium, 28% Large

#### What Are Recent G2 Reviews of WindSurf AI IDE?

**["Windsurf AI IDE Boosts Productivity with Smart, Workflow-Friendly Coding Tools"](https://www.g2.com/survey_responses/windsurf-ai-ide-review-13146441)**

**Rating:** 4.5/5.0 stars

_— LOKESH G._

[Read full review](https://www.g2.com/survey_responses/windsurf-ai-ide-review-13146441)

**["Windsurf Speeds Up Coding with Smart In-IDE AI Assistance"](https://www.g2.com/survey_responses/windsurf-ai-ide-review-13161865)**

**Rating:** 4.5/5.0 stars

_— Prajwal N._

[Read full review](https://www.g2.com/survey_responses/windsurf-ai-ide-review-13161865)

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[Browse AI Coding Assistants Themes](/categories/ai-coding-assistants/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 April 9, 2026

AI coding assistants leverage artificial intelligence and machine learning to help developers write, edit, optimize, and troubleshoot code in real time, integrating directly into IDEs and development workflows to provide contextual code completion, proactive error detection, predictive suggestions, and standardized guidance aligned with organizational coding practices.

### Core Capabilities of AI Coding Assistants

To qualify for inclusion in the AI Coding Assistants category, a product must:

- Use AI to provide real-time coding assistance within an integrated development environment (IDE)
- Support contextual code completion, predictive coding suggestions, or automated code optimization beyond testing and security
- Proactively detect errors or bugs, delivering actionable and team-oriented suggestions for remediation
- Seamlessly integrate into development teams' existing workflows and practices

### Common Use Cases for AI Coding Assistants

Software developers and engineering teams use AI coding assistants to accelerate development cycles, reduce errors, and maintain consistent code quality. Common use cases include:

- Receiving real-time code suggestions and completions that adapt to the active codebase and project conventions
- Detecting bugs and receiving actionable remediation suggestions during active coding sessions
- Accelerating onboarding for new developers by providing contextual recommendations tailored to team standards

### How AI Coding Assistants Differ from Other Tools

AI coding assistants are designed to collaborate with developers during the act of writing code, the developer remains the primary agent, with the assistant providing continuous, context-sensitive support. This distinguishes them from [AI code generation software](https://www.g2.com/categories/ai-code-generation), which can generate complete applications from natural language prompts. While both tools use AI to assist with code, coding assistants work within a developer's existing environment and workflow, whereas code generation tools can operate more autonomously to produce larger functional outputs.

### Insights from G2 on AI Coding Assistants

Based on category trends on G2, contextual code completion accuracy and real-time error detection stand out as standout capabilities. Faster coding velocity and improved code quality consistency stand out as primary outcomes of adoption.

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