Getting Good Results from Claude Code
16 days ago
- #Best Practices
- #AI Programming
- #Code Quality
- Claude Code is a favorite LLM programming agent for writing programs efficiently.
- Clear project specifications and structure documents help guide the agent effectively.
- Reviewing AI-generated code manually is essential for correctness and efficiency.
- A personal 'global' agent guide outlines best practices like incremental progress and simplicity.
- Key principles include single responsibility functions, clear intent, and avoiding complexity.
- Implementation involves planning, understanding, testing, and refactoring in stages.
- When stuck, document failures, research alternatives, and try different approaches.
- Technical standards emphasize composition, interfaces, and explicit dependencies.
- Code quality checks include compiling, passing tests, and following project conventions.
- Error handling should be descriptive and never silently swallow exceptions.
- Decision-making prioritizes testability, readability, consistency, and simplicity.
- Project integration involves learning existing patterns and using current tooling.
- Quality gates ensure tests, conventions, and clear commit messages are met.
- Important reminders include never bypassing commit hooks or disabling tests.