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AI coding governance

Know what your AI agents
are shipping.

Define the rules once, check every PR, and keep signed proof for your team and auditors.

Apache 2.0  ·  SHA-256 signed evidence  ·  No data leaves your machine  ·  No credit card to start

The rules. The enforcement. The proof.

Three components. One workflow. Every PR is checked against rules your team wrote. Every result is signed.

Write the rules once

DevContracts are YAML files your team writes once. Security rules, dependency limits, licence policies, quality gates — all version-controlled alongside your code.

  • 8 clause families
  • Plain YAML — no proprietary DSL
  • Works with any language or stack

Keep signed proof

Every Gatekeep run produces an evidence.json file: SHA-256 signed, timestamped, committed to your repo. Tamper-evident. Readable by auditors. Proof that the rules ran.

  • SHA-256 signed per run
  • Committed to your repo
  • Audit-readable JSON
Full product walkthrough →

Start anywhere. Grow from there.

ticketyboo is a trust ladder — each step adds more governance, more visibility, more proof. Start with a free repo scan. End with a governed estate.

Step 1

Scan a public repo

Free, no login. See the scanner in action — six layers, findings ranked by severity, shareable report link. Takes 30 seconds.

Step 2

Govern your team's PRs

Connect your repo. Write your first DevContract. Every PR gets checked automatically. Findings in the PR comment. Evidence committed to the repo.

Step 3

Scale across your estate

Add more repos. Use the estate view to see the health of every system at once. Track improvement over time. Compare before and after.

The same job. Twice. The difference is the contract.

Watch a governance run without a DevContract, then with one. Side-by-side gate results. Signed evidence output. This site is governed this way.

See the gate evidence comparison →

evidence.json — this site, last gate run

✓ Passed  ·  6 layers run  ·  0 critical findings  ·  SHA-256: gk-2026…a1b2c3

The methodology is available as an engagement.

Discovery, remediation planning, governed agentic builds with signed evidence output. I've led engineering teams at scale, built regulated platforms, and done large-scale M&A. ticketyboo.dev is the methodology in practice.

Consulting → Pricing