Cursor
assistantsVS Code-based editor with deep AI chat and project-wide code understanding
AI code tools assist with writing, testing, reviewing, and debugging software across a broad range of programming languages and environments. The 344 tools here include IDE integrations, web-based coding environments, specialized tools for data pipelines, and platforms for non-developers building internal apps.
VS Code-based editor with deep AI chat and project-wide code understanding
Connect designers, product, and engineering to your codebase
Web scraping without code
AI-powered IDE for faster coding
AI search engine built for developers
Web scraping and data collection for investment firms
Build AI agents and workflows without writing code
AI-powered ecommerce platform combining shop and analytics
Low-code AI workflow builder
Chat with your data to find insights
Real-time coding feedback in Slack
Build smart contracts without code
AI assistant for ops teams in Slack
AI solutions for Arabic language data
Build production apps from ideas without code
Build websites and web apps without writing code
Managed RAG platform for agents and apps with real-time indexing
Open-source AI software engineer
Browser automation with reusable workflows
The category is wide and includes tools that serve very different audiences. Experienced developers typically want tools that integrate into their existing editor and support their specific language stack well. Teams may prefer tools with collaboration features, shared context, and audit logging. Non-developers building internal tools are better served by visual or low-code platforms like Dynaboard AI. Bug-fixing tools like FixThisBug.de focus on a narrow but high-value task. Code review and quality tools like GitRoll and Relicx focus on testing and reliability rather than generation. When comparing tools, practical benchmarks on your own codebase outperform general capability claims. Also consider how the tool handles context: tools with larger context windows handle full-file and multi-file edits more reliably. Security considerations include whether your code leaves your environment and under what terms it may be used to train future models.