Show HN: Vibe Coding Best Practices for our dev team

-- Backwards Build: Start with business slides → PRD → documentation → tests → THEN code. Generate code only after product makes human sense. -- Leverage MCP: Use Model Context Protocol to connect your AI with codebases, documentation and external tools in a standardized way. -- Standardize Aggressively: Minimal invention, heavy use of TypeScript(no to JSX)/strong typing in Python. Follow existing conventions. -- Strict Linting: Ruff for Python, ESLint for frontend - no exceptions. -- Verification Gates: Require AI to produce tests, docs, and diagrams with mandatory human review before proceeding. -- Size Limits: 50 lines max per function, 200 lines max per file. -- All in sync: Keep the entire chain -- docs, slides, code, tests -- in sync on a daily basis -- Collaborative Review: Human-AI joint code reviews with clear quality criteria.

What other AI coding practices have improved your team's output?