The main categories
AI coding tools now cover three different jobs: autocomplete inside an IDE, conversational debugging, and full app generation. Treat those as separate buying decisions.
- Cursor, GitHub Copilot, Codeium, and Tabnine fit everyday coding assistance.
- v0, Bolt.new, Lovable, and Replit AI are better for prototypes and product screens.
- LangChain, LlamaIndex, Dify, and Flowise help teams build AI workflows and agents.
Evaluation checklist
Before rolling a coding assistant across a team, test it on your real stack. Pay attention to repository context, privacy controls, generated test quality, and how easy it is to review changes.
Best fit
- Solo builders should prioritize speed and deployment ergonomics.
- Engineering teams should prioritize security, code review, and context control.
- Product teams should prioritize UI iteration and shareable prototypes.