What you gain
Speed without breakage
Your teams and your agents ship more often, because every change is checked automatically before the merge.
Secrets that stay secret
Sensitive files are out of the agents’ reach, and a secret slipped into a commit is caught before it leaves.
Rules that are not up for debate
The guardrails live in the repository and in CI: an agent cannot turn them off, and every attempt is blocked.
What we set up
- Working rules for coding agents such as Claude Code, written in the repository
- Hooks that block dangerous commands: force pushes, history rewrites, skipping git hooks
- A sandbox: network and file access limited to what is needed
- No reading of secrets: .env files, keys, certificates
- A quality gate: lint, types and tests green before a task is done
- The configuration of the checks changes only with your approval
Technologies
How we go about it
Audit
We look at how your agents work today: their access, their commands, what reaches production.
Frame
We set up the rules, hooks, sandbox and quality gate in your repositories.
Proof
We try the mistakes ourselves (force push, reading a secret, skipping a test) and show you they are blocked.
Frequently asked questions
Should we stop using AI agents?
No. The goal is to use them more, with confidence: the frame removes the risk, not the speed.
Does it work on an existing project?
Yes. The frame is added to an existing repository; the checks that fail at first become the first list of fixes.
GitHub or GitLab?
Both. The same checks run in GitHub Actions or in GitLab CI.