Best AI Tools for Writing Code

Cursor is the leading AI-native code editor with deep codebase understanding, multi-file editing, and chat-driven development. It understands your entire project context to generate code that fits seamlessly.

Standout: Codebase-aware chat lets you ask questions about your project and get answers grounded in your actual code.

GitHub Copilot provides the most seamless inline code completion experience, integrated directly into VS Code and JetBrains IDEs. Its suggestions are informed by your current file, open tabs, and project context.

Standout: Real-time inline suggestions appear as you type, completing entire functions from just a comment or signature.

Claude excels at writing complex, well-architected code with thorough explanations. It handles large codebases and can refactor entire files while maintaining correctness.

Standout: Artifacts feature lets you see, run, and iterate on generated code in a live preview alongside the conversation.

ChatGPT is a versatile coding assistant that handles everything from quick snippets to system design discussions. Its Code Interpreter can execute Python code to verify solutions in real time.

Standout: Code Interpreter runs your code in a sandbox, catching bugs and verifying output before you copy it.

Cody by Sourcegraph brings deep code intelligence by indexing your entire repository and its dependencies. It provides accurate answers about your specific codebase rather than generic solutions.

Standout: Repository-wide code graph indexing means Cody understands relationships between files across your entire project.

Replit combines AI code generation with a full cloud development environment, so you can write, run, and deploy without any local setup. Its AI agent can build entire applications from natural language descriptions.

Standout: AI Agent builds and deploys complete applications from a text description, handling all environment setup automatically.