Here is the honest situation. Here is the honest situation. Coding agents now open pull requests, fix tests and refactor modules faster than any reviewer can read them carefully, and a review process built for slow human authorship either waves them through because the tests pass or drowns your reviewers under plausible passing code. Neither scales. Supervising machine-authored change is its own discipline, gating what a machine should catch, reserving human judgement for what it cannot, capping the token cost, orchestrating the models, and governing the security and maintainability risk, so the speed is real rather than borrowed against future incidents.
This Kit removes the guesswork. It is agent-code supervision written as adopt-ready controls, so a machine-authored change is gated, judged, cost-capped, security-reviewed and recorded on the record rather than merged on a passing test and a hopeful glance.
What you get, the moment you buy
Grounded in current engineering-leadership practice for agent-assisted software delivery, including blocking quality gates and required status checks, coverage-delta and diff-size limits, the agent-code failure catalogue, risk-sized human review, token-cost attribution and runaway caps, difficulty-based model routing and verifier passes, software composition analysis, least-privilege agent permissions and prompt-injection defence, provenance, and throughput-against-defect-escape measurement.
What one control looks like
This is the opening control, where the merge policy for machine-authored change begins. All 18 are built to this depth.
Why this is not another template pack
- The gates carry the load. At agent speed the deterministic checks are the primary control, not a safety net, so this tells you which gates to make blocking, tests, coverage delta, static analysis, secret and dependency scanning, diff-size limits and provenance, and why a warning that does not block is theatre.
- The failure modes built in. Hallucinated APIs and packages, insecure defaults, silent scope creep, copied vulnerable patterns, hollow tests, oversized diffs and prompt injection into the pipeline are written into the controls, so review effort and security checks land exactly where agent code actually fails.
- Built on real practice, not one tool. The controls are principle-level, so they hold across agents, models and repositories, and stay useful as agent-assisted delivery evolves.
Who buys this
Engineering managers, tech leads and senior developers accountable for pipelines where coding agents open pull requests.
Common questions
Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.
Does it cover the whole supervision system? Yes. Quality gates and merge policy, human-in-the-loop review design, cost attribution and budget controls, multi-model orchestration and verification, security and supply-chain review, and governance, audit trail and measurement each have their own controls with their own evidence.
Is this tied to one agent or model vendor? No. The controls are principle-level, blocking gates, risk-sized review, cost attribution and caps, difficulty-based routing with a verifier pass, least-privilege permissions, provenance and defect-escape measurement, so they apply whatever agents, models or repositories you use.
Who is it for? Engineering managers, tech leads and senior developers who must supervise machine-authored change and prove the pipeline is a net gain rather than deferred risk.
Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com