AGENT-READY ENGINEERING: LEADERSHIP CHECKLIST (2026)

Use this checklist to introduce agentic workflows (PR drafting, ticket-to-PR, ops automation) without degrading reliability or security. Aim to complete “Foundation” before expanding beyond low-risk domains.

FOUNDATION (WEEK 1–2)
1) Define scope: Choose 2 workflows with clear acceptance criteria (e.g., “generate unit tests for top 20 modules” + “refactor deprecated API calls”).
2) Assign owners: Name an AI Maintainer (prompt/workflow library) and a Policy Owner (security/CI gates). Publish in an internal doc.
3) Lock permissions: Agents can propose changes but cannot merge/deploy. Use scoped tokens; no shared personal credentials.
4) Turn on audit logs: Ensure repo audit logs, CI logs, and identity logs are retained (at least 90 days).

QUALITY & SECURITY GUARDRAILS (WEEK 2–4)
5) CI gates: Require tests + lint + SAST to merge. If a repo lacks tests, do not allow agents to author functional changes—start with tests/docs only.
6) PR hygiene: Enforce small PRs (suggested: <300 lines changed) unless a tech lead approves an exception.
7) Secrets policy: Enable secret scanning; ban secrets in prompts; document approved patterns for handling tokens/keys.
8) Dependency control: Add allowlists/renovation policies; require review for new dependencies or major version bumps.

METRICS (WEEK 3–6)
9) Tag attribution: Label AI-assisted PRs/commits. Track lead time, change failure rate, and MTTR for 30–60 days.
10) Add a “verified throughput” report: Weekly summary of (a) AI-assisted PRs merged, (b) incidents linked, (c) rollback rate, (d) test coverage delta, (e) compute/tool spend.
11) Review load: Track median PR size, review time, and rework rate. If review time rises >20%, reduce agent autonomy or shrink PR scope.

CULTURE & TRAINING (ONGOING)
12) Reviewer checklist: Train engineers to review agent output for correctness, security boundaries, and performance. Require an “explain back” for critical changes.
13) Prompt/workflow library: Version prompts, add owners, set deprecation dates, and document known failure modes.
14) Incident drills: Run quarterly drills (prompt injection, unsafe code paths, data leakage). Update policies after every drill.
15) Reward the right outcomes: Promotions and recognition should include reliability improvements, documentation quality, and lowered MTTR—not just feature velocity.

GO/NO-GO FOR EXPANDING AUTONOMY
You can expand agents into higher-risk domains (infra changes, customer-facing automation) only if:
- Change failure rate is stable or improving for 60 days.
- CI gates catch the majority of defects before merge (document evidence).
- Provenance is auditable (who/what generated, what tests ran, who approved).
- A break-glass process exists (disable agent, rotate credentials, revert changes).

If any of these fail, roll back autonomy, narrow scope, and fix the system—don’t “prompt harder.”