Govern the output
Hakama checks the change that reaches the repo: files, dependencies, routes, schema, approvals, and evidence.
About Hakama
Control belongs close to the code
We help engineering teams move fast with AI coding tools while keeping scope, approvals, evidence, and commit control visible.
Why we exist
AI-assisted delivery needs an acceptance layer
Coding assistants produce useful work quickly. Teams still need a reliable way to decide which changes are allowed into the repo.
Keep engineers moving
Engineers keep using Claude, Codex, Gemini, Copilot, and the tools already in their workflow.
Leave proof behind
Governed runs leave receipts that reviewers and auditors can inspect after the work ships.
Where Hakama came from
Control belongs close to the code
Hakama started as an attempt to make working with AI coding tools less stressful. Better prompts and structured workflows improved what the model produced, but the behavior stayed advisory: the model could still drift past the scope, drop a constraint, or wander off the task. The lesson was that reliable control lives in the system around a change: in the scope, the checks, and the evidence at the commit. So Hakama moves the control point to where a change becomes real, around the repo, before it lands.
Talk to us about your AI coding rollout
Bring one repo, one workflow, and the rules your team already cares about. We will show how Hakama fits.