the shadow problemUnstructured vibe coding is shadow IT with a compiler.
It feels like productivity and accrues like risk. Code lands that no one reviewed against your standards. Dependencies arrive that no one vetted. Secrets get pasted into prompts. Generated logic ships straight to a branch — or worse, to production — outside every gate your real pipeline enforces. The output looks finished, so it skips scrutiny, which is exactly how the dangerous changes are the ones nobody catches. The speed is real. So is the liability, and it compounds quietly until an incident makes it visible.
- Code that never met your review, security or architecture standards.
- Untracked dependencies and license exposure no SBOM knows about.
- Prompts and snippets leaving your boundary to third-party models.
the false choiceBanning it doesn't work. Doing nothing is worse.
A ban doesn't stop the behaviour — it pushes it off your sanctioned tools and out of your visibility, while your competitors keep the velocity. Doing nothing means the debt and the data-exposure keep accruing under your name. The way out isn't a policy memo; it's a system where the safe path is also the fast path. When the structured route is the easiest one, people stop routing around you.
structure, not prohibitionEncode the rules once. Every agent boots inside them.
Agentation turns your standards into rails. A Tech Lead encodes them once — your architecture conventions, security policy, the libraries you allow, your company's specific rules — and every agent that runs inherits them. Deterministic gates (lint, types, tests, secrets and security scans) run before any change can reach production, and only approved agents operate. Nothing ships that breaks the rules, because the rules aren't a wiki page people forget — they're the runtime.
- Standards encoded as enforced rails, not optional guidelines.
- Lint, type, test, secrets and security gates before anything is live.
- Only approved agents run; every action is attributable.
where the data livesGitHub-native, EU-hosted, GDPR-aligned.
Everything ships through your own GitHub — your repos, your branch protection, your audit trail, your access controls. Agentation adds the agent loop and the gates on top; it doesn't become a parallel system to govern. It runs on the AI plan you already have under contract, and the infrastructure is EU-hosted and GDPR-aligned, so the data residency and processing questions your DPO will ask have answers before they're asked. We never see your code.
- Runs through your GitHub: existing permissions, branch rules and audit log.
- EU-hosted, GDPR-aligned — data residency answered by default.
- Uses your existing AI contract; no new processor to assess from scratch.
FAQWhy not just block AI coding tools entirely?
Because a ban moves the behaviour into the shadows rather than ending it — people use personal accounts and unsanctioned tools, and you lose both the visibility and the velocity. A structured, sanctioned path that's also the fastest path is the only thing that actually changes behaviour.
How do we stop agents from shipping non-compliant or insecure code?
By making your rules the runtime. A Tech Lead encodes your standards and every agent boots inside them, and deterministic gates — lint, types, tests, secrets and security scans — run before any change reaches production. Non-compliant changes don't ship; they fail the gate.
Does our code or data leave our control?
No. Everything ships through your own GitHub under your existing permissions and audit trail, the infrastructure is EU-hosted and GDPR-aligned, and Agentation runs on the AI plan you already hold. We never see your code.
How does this fit our existing review and compliance process?
It sits on top of GitHub rather than replacing it, so branch protection, code owners, audit logs and your SDLC controls still apply. Agentation adds an enforced gate layer in front of them, which means more of your policy is checked automatically and consistently, not less.