Automatic guardrails for AI-assisted coding
can fail when written instructions are the only safeguard. Code can break, drift away from the intended design, grow with unnecessary parts, or get deployed without approval.
The workflow uses automated checks instead of relying on the AI to remember every rule. The main pieces are a preflight command for broad checks, git hooks for push locking and secret scanning, anti-bloat tools, , and .
These gates make code quality, security, and deployment rules mechanical before work moves forward. It also includes a concrete prompt for setting up the in Claude Code.
Key points
- The workflow targets AI-caused , design drift, code bloat, and unapproved deployments.
- A preflight command runs broad checks before work moves ahead.
- Git hooks can lock pushes and scan for secrets before code leaves the machine.
- Anti-bloat tools and help keep generated code smaller and safer.
- can reduce token waste by keeping the AI focused on the right information.