Best AI Tools for Developers
Focused on tools that speed up real development work — in-editor completion, codebase-wide review, and full AI-native editing — rather than novelty coding demos. Each entry below covers a distinct part of a typical workflow (writing code, reviewing it, prototyping quickly, and documenting decisions) rather than five overlapping ways to do the same thing, so most developers will only need two or three of these at once. None of these replace understanding what the generated code actually does — treat AI-written code the same way you'd treat a pull request from a junior contributor, and review it before merging.
GitHub Copilot
AI code completion and chat, built into popular code editors.
Best for: In-editor code completion, Explaining unfamiliar code
The most widely adopted in-editor AI completion tool, working as an extension across VS Code, JetBrains IDEs, Neovim and more without requiring you to change editors.
Cursor
An AI-native code editor built as a fork of VS Code.
Best for: AI-assisted feature development, Codebase-wide refactors
For developers who want the deepest possible AI integration — built specifically for codebase-wide context and multi-step agent tasks — and are open to using a dedicated editor.
Claude
Anthropic's AI assistant, known for long-context reasoning, writing quality and coding.
Best for: Long-document analysis, Coding and code review
Frequently used for focused code review and reasoning through complex bugs, particularly in large files or codebases where careful, step-by-step analysis matters.
Replit
A cloud coding environment with an AI agent that can build apps from a prompt.
Best for: Learning to code, Fast app prototyping
Best for fast prototyping without local environment setup, useful for quick proofs of concept or teaching contexts.
Notion AI
AI features built into the Notion workspace for writing and Q&A over your docs.
Best for: Summarizing notes and meetings, Q&A over your own workspace content
Not a coding tool itself, but useful for drafting technical specs, PRDs and documentation directly inside the workspace many dev teams already use for planning — pairing well with any of the four coding-focused tools above.
Gemini
Google's AI assistant, integrated with Search, Workspace and Android.
Best for: Google Workspace integration, Research with up-to-date information
Available via Google AI Studio and Vertex AI for developers who want to experiment with or integrate Gemini models directly into their own applications, separate from the consumer chat app.