Cursor

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Cursor AI-Powered Code Editor is an advanced AI-driven coding environment designed to enhance developer productivity with intelligent code completion, automated debugging, and AI-assisted refactoring. By integrating cutting-edge AI models, Cursor helps developers write, optimize, and debug code more efficiently, making it a powerful tool for software engineers, AI researchers, and anyone looking to speed up development workflows.

PearAI

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PearAI is an open-source, AI-powered code editor based on Visual Studio Code that combines top AI coding tools like GPT-4, Claude, LLaMA, and AI agents into one intelligent workspace. Designed for developers who want deep codebase understanding, automated assistance, and fast project scaffolding, PearAI delivers a unified, local-first AI coding experience.

trae

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Trae AI is an innovative AI-powered Integrated Development Environment (IDE) designed to transform and streamline the coding process. By leveraging advanced AI capabilities, Trae AI offers adaptive collaboration, smart autocomplete, and real-time code generation features. This tool is tailored to enhance developer productivity by automating tasks, providing intelligent code suggestions, and facilitating better team communication. With support for multiple programming languages and seamless integration with popular development environments, Trae AI is a comprehensive solution for developers of all levels, aiming to boost efficiency and reduce project completion times.

JetBrains IDEs

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JetBrains IDEs are a suite of professional, language-specific integrated development environments (IDEs) backed by robust coding assistance, smart refactoring, debugging, testing, and AI-powered plugin support across multiple languages.

CRUDERRA

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Cruderra.ai is an AI-driven platform engineered to automate the creation and maintenance of technical documentation for software development teams. It transforms architecture and code into comprehensive, code-backed documentation—including design diagrams, UML, and OpenAPI specs—especially valuable for legacy systems and microservices. The platform supports real-time code scanning, architecture reverse engineering, and keeps documentation aligned with ongoing development changes, helping streamline onboarding, reduce technical debt, and enhance team collaboration.

Stakly

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Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.

OnSpace AI

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OnSpace AI is a no-code app builder platform designed to help users quickly turn ideas into mobile, web, and cross-platform applications without deep programming knowledge. It provides tools for designing, previewing, deploying, monetizing, and managing apps—so individuals or businesses can bring apps from concept to production fast.

AppIsUp

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AppIsUp is a modern “vibe coding” platform that connects AI (Claude by Anthropic) with cloud hosting so developers can code from anywhere and share their work instantly. It aims to simplify the process of getting projects online by giving you instant public URLs for whatever you build. The platform supports live editing and collaboration, so you can iterate quickly and test changes in real time.

Kiro AI

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Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.

Roo Code

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Roo Code is an open-source AI-powered coding assistant available on GitHub through the RooVetGit repository. It integrates directly with Visual Studio Code, providing developers with an autonomous “AI dev team” that can plan, write, debug, and refactor code across multiple files. Built as a fork of the earlier Roo Cline project, Roo Code uses agentic modes—such as Code, Architect, Ask, and Debug—to handle distinct development tasks. Developers can customize modes, connect various AI model providers, and fine-tune workflows for maximum control. Fully open-source, it supports local and cloud-based models while prioritizing privacy and flexibility.

Chef

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Chef by Convex is an AI-powered development assistant built to help developers create, test, and deploy web applications faster using natural language prompts. Integrated with Convex’s backend-as-a-service platform, Chef automates code generation, database setup, and API creation, enabling developers to move from concept to functional prototype within minutes. The tool understands developer intent, allowing users to describe what they want and instantly receive production-ready code snippets. With collaborative features and integrated testing environments, Chef by Convex simplifies modern app development for both individuals and teams, combining AI intelligence with backend scalability.

Coderabbit AI

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CodeRabbit AI is an intelligent code review assistant designed to automate software review processes, identify bugs, and improve code quality using machine learning. It integrates directly with GitHub and other version control systems to provide real-time analysis, review comments, and improvement suggestions. By mimicking human reviewer logic, CodeRabbit helps development teams maintain code standards while reducing time spent on manual reviews. Its AI models are trained on best coding practices, ensuring that every commit is efficient, secure, and optimized for performance.