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Build an AI Coding Project
Pick tools for planning, implementation, debugging, and code review.
Developers
Founders
Students
Technical PMs
Free Plan
- Use a free chat model to write a feature spec and acceptance criteria.
- Use Cursor or Windsurf free tiers for small implementation loops.
- Run local tests and ask the model to review only the diff.
Paid Efficient Plan
- Use Cursor Pro or Claude Pro when you need larger context windows.
- Use GitHub Copilot for continuous IDE assistance across mature repos.
Beginner Steps
- Start with a small issue and exact files before asking for code.
- Commit before large AI edits so changes are easy to inspect.
- Require tests, screenshots, or reproduction steps for each change.
Pitfalls
- Do not accept broad refactors unless they are part of the goal.
- AI can invent APIs; compile and test before trusting the patch.
- Keep secrets and production credentials out of prompts.