One thing I find interesting about AI coding assistants is that the real value often appears outside raw code generation.
For a small startup, the assistant can help with:
→ boilerplate
→ test scaffolding
→ debugging
→ documentation
→ SQL
→ API examples
→ refactoring
That can make a small engineering team more efficient without pretending the AI can own the entire codebase.
The workflow I like is simple:
Ask → inspect → test → ship
The dangerous workflow is:
Ask → copy → deploy
For anyone evaluating an AI coding tool, I'd test it on a real project and measure how much review it actually saves.
More AI tools: https://aitoolsvault.site/
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