After 100+ AI-assisted projects, I noticed the bottleneck has moved from code generation to code comprehension. Claude can generate infinite code, but we still need to review and maintain it.
This toolkit encodes guardrails that keep AI-generated code simple, secure, and verifiable:
- Measurable constraints (20 lines/fn, 80% coverage) instead of vague guidance
- Security as first-class: VITE_* secret warnings, pre-commit checks, dependency scanning
- Atomic todos with validation criteria and test cases
- LLM testing patterns (mocks, fixtures, evals) for AI-first apps
One command bootstraps everything: /initialize-project
Works on new projects and updates existing ones without breaking config.
naxmax•2h ago
This toolkit encodes guardrails that keep AI-generated code simple, secure, and verifiable:
- Measurable constraints (20 lines/fn, 80% coverage) instead of vague guidance - Security as first-class: VITE_* secret warnings, pre-commit checks, dependency scanning - Atomic todos with validation criteria and test cases - LLM testing patterns (mocks, fixtures, evals) for AI-first apps
One command bootstraps everything: /initialize-project
Works on new projects and updates existing ones without breaking config.