Claude Code hooks let you run things automatically around the agent — before commands, after edits, on events. They're a productivity win and a footgun. Here's how to use them safely.
Hooks are the automation layer around Claude Code: scripts that fire on events, letting you enforce rules, run tests, gate actions. Used well, they make the agent safer and faster; used badly, they create automation you can't trust.
Sharpen the Saw: What Hooks Automate
Hooks automate the repetitive disciplines you'd otherwise do by hand — running tests after edits, linting before commits, gating commands, logging sessions. The point is the saw-sharpening: a small, repeatable automation that keeps the workflow tight every time.
- Post-edit: run tests, lint.
- Pre-command: gate dangerous actions.
- On-event: log, notify, enforce.
The Opportunity: Enforce, Don't Trust
Hooks let you enforce what you'd otherwise trust the agent to do. Instead of hoping the agent runs tests, a post-edit hook runs them. Instead of hoping the agent doesn't run a dangerous command, a pre-command hook gates it. The hook is the enforcement; the agent is the worker.
The Safe Hook Patterns
- **Tests on every change.** A post-edit hook that runs the test suite catches regressions before you ask.
- **Gates on dangerous commands.** A pre-command hook that blocks or requires confirmation on a defined list.
- **Logging on sessions.** A hook that logs what the agent did, so the session is reconstructable.
What to Refuse
- Hooks that silently change things without logging.
- Hooks that gate so aggressively they paralyze the agent.
- Hooks without tests — a broken hook is worse than no hook.
- Hooks that run untrusted input without scoping.
How to Start
Start with one hook: tests on every edit. Ship it, watch it, and confirm it catches what it should. Add a second only when the first is trusted. The pattern is one hook at a time, each trusted before the next — not a dozen hooks deployed at once.
Conclusion
Claude Code hooks are a productivity win and a footgun. Use them to enforce — tests on change, gates on dangerous commands, logging on sessions — and ship them one at a time, each trusted. The hook is the enforcement; the trust comes from watching it work.
About FACTA
FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.
We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.
Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:
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Tell us what you'd automate around Claude Code.
We'll tell you which hook to start with and how to ship it safely. See agent evals in CI for the eval-side automation.
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