Search results for Script Debugger

Spojit is an AI-native automation platform for building and operating real business workflows using no-code, code, or any combination of both. Describe a process in plain English and let Miraxa generate an automation workflow, review and modify it visually, add custom logic where needed, and connect it to the systems your business already uses. But Miraxa is much more than a workflow generator. It acts as an intelligent operating layer across your automation environment, with visibility into workflows, executions, configuration, failures, and operational activity. You can ask what is currently running, summarise workflow behaviour, investigate errors, debug existing automations, and identify opportunities to improve how your processes operate. The platform is built for the realities of enterprise business-critical automation, with: • AI agents and deterministic workflow steps • Visual no-code workflow creation • AI-guided JavaScript and Python for custom logic • Durable, long-running workflow execution • Human approvals and intervention points • High-volume and event-driven automation • Team-based permissions and stronger tenant controls • Secure credentials, governance, and audit trails • Deeper monitoring, debugging, retries, and recovery • Extensible integrations across business systems

Retack AI is an advanced error monitoring platform that empowers developers to track and resolve application errors in real-time. By integrating AI-driven code fixes, it enhances application performance and streamlines the development process. Retack AI supports a wide range of programming languages and frameworks, making it a versatile solution for diverse development environments. Key Features and Functionality: - Real-Time Error Tracking: Continuously monitors applications across various environments—production, staging, or development—to detect issues as they occur. - Instant Error Alerts: Provides immediate notifications via Slack or email, ensuring that development teams are promptly informed of any application crashes or errors. - AI-Driven Code Fixes: Integrates with Git repositories to automatically generate merge requests with suggested code fixes, reducing manual debugging efforts. - Comprehensive Language Support: Offers compatibility with multiple frontend and backend languages, including JavaScript, Python, Java, Node.js, and more, facilitating seamless integration into existing projects. Primary Value and Problem Solved: Retack AI addresses the critical need for efficient error management in software development. By providing real-time insights and automated code fixes, it minimizes downtime and accelerates the resolution of application issues. This proactive approach not only enhances user experience but also optimizes development workflows, allowing teams to focus on innovation rather than troubleshooting.

Exotool is a platform on which you design an app as a diagram and get a complete progressive web app: the screens, the server side, the APIs between them and the database. The diagram is the app: its screens, how they connect, the data it stores, and the activities behind its elements, written in a small language. A patented engine (US Patent 12,461,721) decides which statements run on the device and which on the server, generates both sides, and generates the APIs between them, the same way every time. Two things follow from that. The generated source is yours: while you build, the app runs in Exotool's sandbox with a preview address you can share; to ship, you deploy the source on a host of your choice with your own database, with no runtime to license and no platform to leave the app behind on. And the database is reached only from the generated server side: the browser never holds a database key, so there is no per-row access rule to forget, the omission behind most data leaks from apps that talk to their database from the browser. Exotool is also a Claude connector, listed in the Claude connector directory. Connect it, describe the app you want in plain words, and Claude builds a first version you can open on your phone within minutes. Claude does not write the code: it edits the diagram, and the engine builds the app, so what was built can be read in the diagram, in the editor, rather than in thousands of generated lines. Every save is backed up first, and Claude can undo its last change. Nothing is metered on Exotool's side. For experienced developers, the language takes explicit JavaScript and PHP wherever they want it, so they write the parts that need their hand and let Exotool generate and knit together the rest of the stack. One visual debugger follows a step from the device to the server and back in one session. The result is a progressive web app that installs from the browser on iOS and Android alike. Native iOS apps are in beta. Exotool starts free, with one app, the editor, the preview and the Claude connector; paid plans are $19 and $49 a month per builder, with no charge per user of the app.

SpellBox is an AI-powered coding assistant designed to streamline the development process by generating code from simple prompts. It enables developers, students, and hobbyists to solve complex programming challenges efficiently, reducing time spent on syntax errors and debugging. Compatible with both macOS and Windows platforms, SpellBox integrates seamlessly with popular code editors like Visual Studio Code, offering a versatile solution for various coding needs. Key Features and Functionality: - Code Generation: Automatically produces code snippets based on user-provided prompts, facilitating rapid development. - Code Explanation: Offers clear explanations of generated code, aiding users in understanding complex code structures. - Bookmarking: Allows users to save and organize frequently used code snippets for easy retrieval. - Multi-Language Support: Supports a wide range of programming languages, including JavaScript, Python, C++, and more. - IDE Integration: Integrates with Visual Studio Code, providing a cohesive coding experience within the user's preferred development environment. Primary Value and User Solutions: SpellBox addresses common challenges in the coding process by automating code generation and explanation, thereby reducing the time spent on routine tasks. This allows users to focus on higher-level problem-solving and innovation. For students and learners, SpellBox serves as an educational tool that simplifies complex coding concepts, enhancing learning outcomes. Professional developers benefit from increased productivity and efficiency, enabling them to deliver high-quality software solutions more effectively.

Riyo.ai is a comprehensive marketing solution designed to empower businesses by providing real-time insights into website visitor behavior. By leveraging advanced analytics and AI-driven tools, Riyo.ai enables companies to identify, engage, and convert potential leads more effectively, thereby enhancing marketing strategies and boosting sales performance. Key Features and Functionality: - Real-Time Visitor Tracking: Monitor current website visitors and their browsing behavior, allowing immediate engagement and assignment to appropriate sales team members. - AI-Powered Live Chat: Deploy intelligent chatbots to handle routine inquiries, offer product recommendations, and provide 24/7 support, enhancing customer engagement. - Heatmaps and Session Recordings: Visualize user interactions through heatmaps and session recordings to understand engagement patterns and optimize website elements accordingly. - Form Analytics: Automate data collection from website forms, ensuring no potential leads are missed and streamlining data management processes. - Error Tracking and Debugging: Monitor and resolve API errors and JavaScript issues in real-time, maintaining optimal website performance. - Seamless Integrations: Integrate effortlessly with existing tools like HubSpot, Slack, and Google Search Console to enhance workflow efficiency. Primary Value and Solutions Provided: Riyo.ai addresses the challenge of converting website visitors into qualified leads by offering real-time engagement tools and in-depth behavioral analytics. By understanding visitor behavior and preferences, businesses can tailor their marketing efforts, improve user experience, and increase conversion rates. The platform's AI-driven features and seamless integrations ensure that companies can efficiently manage and nurture leads, ultimately driving growth and success.

The Development Environment for IOST Dapp is an Amazon Machine Image (AMI) designed to streamline the creation and testing of decentralized applications (Dapps on the IOST blockchain. This pre-configured environment includes essential tools such as iServer and iWallet, enabling developers to deploy a local IOST blockchain instance swiftly and efficiently. By leveraging this AMI, developers can focus on building and refining their Dapps without the complexities of manual setup, thereby accelerating the development process. Key Features and Functionality: - Pre-Configured IOST Tools: The AMI comes with iServer and iWallet pre-installed, providing a ready-to-use environment for IOST Dapp development. - Automatic iServer Launch: Upon booting, iServer is automatically initiated via Docker, establishing a local IOST blockchain for immediate testing and development. - Comprehensive Logging: Developers can monitor the blockchain's status using iWallet commands and access detailed logs located at `/data/iserver/logs/iost.log` for effective debugging and performance analysis. - One-Click Upgrades: The environment supports seamless upgrades to the latest releases through a simple, one-button script, ensuring that developers have access to the most current features and improvements. Primary Value and Problem Solved: This development environment addresses the challenges associated with setting up and managing a local blockchain network for Dapp development. By providing a pre-configured, easy-to-deploy solution, it eliminates the need for manual configuration and reduces the time required to establish a development environment. This allows developers to concentrate on coding and testing their Dapps, leading to faster development cycles and more efficient project workflows.

Optimus Prompt is a comprehensive platform designed to assist teams in developing, testing, and deploying large language model (LLM) applications with confidence. It offers a suite of tools that streamline the evaluation, monitoring, and refinement of AI systems, ensuring optimal performance and reliability. Key Features and Functionality: - Evaluation: Facilitates testing and performance tracking over time, enabling users to debug failures and assess the impact of changes on sample data. - Human Review: Allows collection of human feedback from end-users, subject matter experts, and product teams, including commenting, annotating, and labeling logs for Q&A and fine-tuning purposes. - Prompt Playground & Deployment: Provides an environment to experiment with multiple prompts on sample data, test them on large datasets, and deploy successful prompts into production. - Observability: Enables logging of production and staging data, debugging issues, running online evaluations, capturing user feedback, and tracking cost, latency, and quality metrics in a centralized location. - Datasets: Incorporates logs from staging and production into test datasets, facilitating model fine-tuning. - SDKs: Offers simple Python and JavaScript SDKs for seamless integration with major LLM providers and frameworks. Primary Value and User Solutions: Optimus Prompt addresses the challenges associated with developing and deploying LLM applications by providing a unified platform for evaluation, monitoring, and refinement. It empowers teams to confidently ship AI systems to production by ensuring robust performance, facilitating human-in-the-loop feedback, and offering tools for prompt experimentation and deployment. By integrating observability and dataset management, Optimus Prompt enhances the reliability and efficiency of AI development workflows.

Codex CLI is OpenAI's open-source, terminal-based coding agent designed to enhance developers' productivity by integrating AI assistance directly into the command-line interface. It enables users to generate, edit, and execute code locally through natural language prompts, streamlining the development process without leaving the terminal environment. Key Features and Functionality: - Local Execution: Codex CLI operates entirely on the user's machine, ensuring that code remains within the local environment, thereby maintaining privacy and security. - Multimodal Input Support: The tool accepts various input forms, including text, screenshots, and diagrams, allowing for versatile code generation and editing capabilities. - Multiple Programming Language Support: Codex CLI supports a wide range of programming languages, including Python, JavaScript, TypeScript, C++, and Bash, catering to diverse development needs. - Flexible Operation Modes: Users can choose from three distinct modes based on their requirements: - Suggest Mode: Proposes edits and commands, requiring user approval before implementation. - Auto Edit Mode: Automatically edits files but seeks confirmation before executing shell commands. - Full Auto Mode: Performs read, write, and execute operations autonomously within a sandboxed environment. - Version Control Integration: Codex CLI is aware of version control systems like Git, providing safety prompts to prevent unintended changes to live code. - Open Source Accessibility: Being open-source under the Apache-2.0 license, Codex CLI allows for customization and community contributions, fostering continuous improvement and adaptability. Primary Value and User Solutions: Codex CLI addresses several challenges faced by developers: - Enhanced Productivity: By automating routine coding tasks and providing intelligent suggestions, it reduces the time spent on manual coding, allowing developers to focus on complex problem-solving. - Seamless Integration: Operating directly within the terminal, it eliminates the need to switch between different tools or interfaces, maintaining a smooth and efficient workflow. - Improved Code Quality: With features like code reviews and debugging assistance, Codex CLI helps in identifying and rectifying errors early, leading to more robust and reliable codebases. - Privacy Assurance: Since all operations are performed locally, users have full control over their code, ensuring that sensitive information remains secure. In summary, Codex CLI serves as a powerful AI-driven assistant that integrates seamlessly into the terminal, offering developers an efficient, secure, and versatile tool to enhance their coding experience.

Caktus AI is an advanced, AI-driven educational platform designed to assist students in various academic tasks, including essay writing, coding, and problem-solving. By leveraging artificial intelligence, Caktus AI aims to enhance learning efficiency and help students overcome educational barriers. Key Features and Functionality: - Writing Assistance: Caktus AI helps students generate essays, research papers, and other academic writings. It also provides assistance with resumes, cover letters, and class notes, making it a versatile tool for academic support. - Coding Help: The platform offers code generation and debugging tools for various programming languages, including Python, Java, C#, JavaScript, and Go, providing help across a broad spectrum of programming courses. - Math and Science Solutions: Caktus AI provides step-by-step solutions for equations, word problems, and more, assisting students in subjects like mathematics, chemistry, physics, and biology. - Plagiarism Detection: The platform includes built-in features to help ensure that the content generated is original and free of plagiarism, checking outputs against a vast database to detect any potential duplication. - Language Learning Support: Caktus AI supports language learning by translating essays into various languages and assisting with language acquisition, including Spanish, Mandarin, Italian, Russian, Japanese, French, and Arabic. Primary Value and User Solutions: Caktus AI serves as a comprehensive academic assistant, streamlining the learning process for students by automating and simplifying complex tasks. It addresses common educational challenges such as time management, understanding difficult concepts, and maintaining academic integrity. By offering personalized learning experiences and real-time assistance, Caktus AI empowers students to achieve academic success more efficiently and effectively.

Babel Cloud is an AI-powered, all-in-one cloud Integrated Development Environment (IDE) designed to streamline the application development process. By eliminating the complexities of environment setup, framework selection, and resource management, Babel enables developers to focus solely on writing business logic using TypeScript/Node.js. Its intuitive, element-based architecture and seamless AI integration facilitate the rapid creation, deployment, and monitoring of cloud-native applications. Key Features and Functionality: - AI-Assisted Development Lifecycle: BabelGPT, the platform's integrated AI function, acts as a collaborative colleague, assisting with tasks such as code generation, debugging, and application monitoring. - Element-Based Architecture: Applications are composed of modular elements (e.g., HTTP, Function, Database, Worker), providing a more intuitive and business-oriented approach to software development. - Holographic Observation: This feature allows developers to visualize execution details directly within the code, simplifying the process of identifying and resolving issues. - Built-in AI Elements: Babel offers native support for AI capabilities, including prompt evaluation, embedding searches, and integration with Language Models (LLMs), enabling seamless incorporation of AI functionalities into applications. Primary Value and Problem Solved: Babel Cloud addresses the increasing complexity of modern software development by providing a unified platform that simplifies the entire development lifecycle. By abstracting away the intricacies of environment setup, framework integration, and resource management, Babel empowers developers to concentrate on crafting business logic. The integration of AI through BabelGPT further enhances productivity by automating routine tasks and offering intelligent assistance, thereby accelerating development timelines and reducing the potential for errors. This holistic approach not only boosts efficiency but also democratizes application development, making it more accessible to a broader range of users.

Tag Companion solves the problem every marketer faces with Google Tag Manager: you know what you need to track, but GTM requires technical skills you don't have. Need to track a button click? GTM expects you to write CSS selectors. Need form submission tracking? Better understand AJAX listeners and data layer manipulation. Want eCommerce events for GA4? Hope you're comfortable parsing JSON and structuring objects to match Google's schema. Tag Companion automates all of it: - Point-and-Click Configuration: Click the elements you want to track on your actual website. No inspecting code, no guessing at selectors. Complete GTM Templates: Get ready-to-import GTM container files with all triggers, variables, tags, and custom JavaScript properly configured. - Universal Coverage: Track clicks, form submissions, page scrolls, time on page, element visibility, AJAX responses, and all 13 GA4 eCommerce events. - Works With Your Setup: Generates standard GTM JSON that imports into your existing container. No platform migration. No vendor lock-in. No changes to your website code. - Handles the Hard Stuff: Automatically generates CSS selectors that stay reliable when your site updates, captures AJAX form data without XMLHttpRequest debugging, structures eCommerce data to GA4's exact requirements, and creates proper trigger sequences so everything fires correctly. Built by a marketer who spent over a decade fighting these exact problems. Tag Companion doesn't replace Google Tag Manager. It makes it actually usable for the 90% of marketers who aren't frontend developers. Free plan available. Start tracking in minutes, not hours.

AgentKit is a TypeScript library designed to facilitate the creation and orchestration of AI agents, ranging from simple model inference calls to complex multi-agent systems utilizing various tools. With a focus on orchestration, AgentKit empowers developers to build, test, and deploy reliable AI applications at scale. Key Features and Functionality: - Composable Primitives: Provides simple and modular components to construct AI agents, from basic support agents to semi-autonomous coding agents. - Model Support: Compatible with OpenAI, Anthropic, Gemini, and all OpenAI API-compatible models, offering flexibility in model selection. - Tool Integration: Features a robust API for building tools, including support for MCP as tools, enhancing agent capabilities. - Library and Product Integration: Seamlessly integrates with popular AI libraries and products such as E2B, Browserbase, and Smithery, facilitating a cohesive development environment. - UI Streaming: Enables live updates to user interfaces, enhancing real-time interaction and responsiveness. - Local Development Support: Offers local live traces and input/output logs when combined with the Inngest Dev Server, streamlining the development and debugging process. Primary Value and User Solutions: AgentKit addresses the complexities involved in developing AI applications by providing a structured framework that simplifies the orchestration of AI agents. It allows developers to compose single-agent systems or entire networks of agents that collaborate effectively. By managing components such as agents, networks, routers, and state, AgentKit ensures that AI workflows are dynamic, customizable at runtime, and capable of handling complex tasks efficiently. This comprehensive approach reduces development time, enhances scalability, and ensures the reliability of AI applications.

UserSesh is an AI-native analytics platform designed to enhance the development and optimization of AI-powered applications. By integrating seamlessly with AI coding tools, UserSesh provides comprehensive insights into user behavior, enabling developers to identify and address issues efficiently. Its suite of features includes session replays, heatmaps, real-time metrics, and error tracking, all augmented with intelligent analysis to streamline the development process. Key Features and Functionality: - AI-Generated Funnels: Automatically detects and constructs conversion funnels, highlighting user drop-off points without manual setup. - AI Issue Detection: Identifies and prioritizes user experience problems and error patterns, offering root cause analysis and actionable solutions. - Session Recordings: Provides full session playbacks to observe user interactions, including clicks, scrolls, and navigation paths. - Heatmaps: Visualizes user engagement through click and scroll heatmaps, aiding in the identification of underperforming areas. - Real-Time Analytics & Alerts: Delivers live visitor data, traffic sources, and automated alerts for anomalies such as error spikes or traffic drops. - Error Tracking: Captures JavaScript errors, unhandled promise rejections, and render crashes with detailed stack traces for effective debugging. - MCP Integration: Connects with AI coding tools like Cursor, Claude Code, and Windsurf via the Machine Coding Protocol (MCP), providing real-time access to user data for autonomous issue resolution. Primary Value and User Solutions: UserSesh addresses the challenges of traditional analytics by automating the detection and analysis of user behavior and application performance. By leveraging AI, it reduces the need for manual data interpretation, allowing developers to focus on implementing improvements. The platform's integration with AI coding tools facilitates a continuous feedback loop, enabling rapid identification and resolution of issues, thereby enhancing user experience and accelerating product development cycles.

OpenReplay is an open-source, self-hosted session replay and product analytics platform designed to help developers and product teams gain deep insights into user behavior and application performance. By capturing and replaying user sessions, OpenReplay enables teams to visualize user interactions, identify friction points, and troubleshoot issues efficiently. Key Features and Functionality: - Session Replay: Provides pixel-perfect replays of user sessions, capturing every click, scroll, and interaction to help understand user behavior and identify issues. - DevTools Integration: Offers access to console logs, network activity, JavaScript errors, and performance metrics alongside session replays, facilitating rapid debugging and root cause analysis. - Product Analytics: Includes tools like funnels, user journey analysis, heatmaps, and web analytics to measure user engagement and conversion rates. - Co-Browsing: Enables real-time, in-app support by allowing teams to co-browse with users, providing assistance without the need for additional software or downloads. - Privacy and Security: Being self-hosted, OpenReplay ensures complete control over customer data, aligning with strict regulatory standards and eliminating reliance on third-party processors. Primary Value and Problem Solved: OpenReplay addresses the challenge of understanding and improving user experience by providing a comprehensive view of user interactions within web and mobile applications. It empowers development and product teams to: - Identify and Resolve Issues Quickly: By replaying user sessions with full technical context, teams can pinpoint and fix bugs, errors, and performance bottlenecks more efficiently. - Enhance User Experience: Insights from session replays and analytics help in understanding user behavior, leading to informed decisions that improve usability and engagement. - Maintain Data Privacy and Compliance: With self-hosted deployment options, organizations retain full control over their data, ensuring compliance with privacy regulations and internal security policies. By integrating session replay with robust analytics and privacy-focused deployment, OpenReplay provides a powerful solution for teams aiming to optimize their digital products and deliver exceptional user experiences.