AI Tools for Developers
AI tools for code completion, AI editors, repository Q&A, refactoring, test generation, CLI agents and technical research.
Developer AI tools should be selected by layer: completion, editor workflows, repository understanding, agents and search. Critical code still needs review, tests and security checks.
- Frontend, backend and full-stack developers
- Indie developers and small teams
- Teams improving repository maintenance with AI
- IDE integration and repository context
- Multi-file editing and review support
- Enterprise data policies
- Testing, rollback and team conventions
Free tools work for completion and simple Q&A; paid tools help with large repositories, multi-file edits, team controls and higher limits.
AI-generated code can introduce security, performance and licensing issues, so run tests and human review before merging.
Recommended tools
An AI coding editor and agent for exploring a codebase, editing files and completing development tasks.
GitHub's coding assistant for code suggestions, programming questions and agent-assisted development.
Codeium is a coding tool for code completion, free, coding.
Phind is a coding tool for search, coding tool, AI.
Phind is a AI search tool for search, AI search tool, coding.
OpenAI's AI assistant for conversation, writing, coding and analyzing documents.
AI assistant by Anthropic, great at long‑form analysis and writing.
AI answer engine that combines search and chat with cited sources.
Tabnine is a coding tool for code completion, multilingual, coding.
An AI search and answer engine that brings web research and source links into conversational answers.
Research questions in Chinese and explore source links with Metaso's AI-assisted search.
You.com is a AI search tool for search, AI search tool.
FAQ
Start with IDE completion and AI editors, then test repository Q&A, CLI agents and code review based on team needs.
No. Review, test, type-check and security-check it, especially for permissions, payments, data and infrastructure.