Agentic Engineering Leadership: 30/60/90-Day Rollout Checklist

Goal: Increase validated shipping capacity (throughput) without raising change failure rate, security risk, or reviewer burnout.

SUCCESS METRICS (set before day 1)
- Rework rate: % of PRs requiring a follow-up fix within 72 hours (target: <10%).
- Review latency: median time to first human review (target: <6 hours).
- Change failure rate: % deploys causing incident/rollback (target: <5%).
- Defect containment: % defects caught pre-merge vs post-merge (target: >70% pre-merge).
- Provenance coverage: % PRs containing agent metadata + test evidence (target: >90%).

DAYS 1–30: FOUNDATIONS + PILOT
1) Policy (write it down)
- Prompt/data rules: classify what cannot be pasted (PII, secrets, customer configs).
- Approved tools/models list and account requirements (SSO, MFA, audit logs).
- Repo scope: which repositories are allowed for agent-assisted changes.

2) Guardrails (enforce via CI)
- PR template includes: Agent-Generated (Yes/No), Tool used, Summary, Tests run, Risk notes.
- Required scanning: dependency + secret scanning + code scanning for merges.
- PR size guideline (e.g., 50–200 lines changed) and exception process.

3) Pilot selection
- Choose 2–3 low-risk, high-volume workflows: dependency upgrades, docs, test generation, lint/refactor.
- Define “no-go areas” for pilot: auth, payments, permissioning, data deletion, cryptography.

4) Reporting cadence
- Weekly: publish pilot metrics (cycle time, rework, review latency, incidents).
- One page max; numbers over anecdotes.

DAYS 31–60: PRODUCTIZE THE PAVED PATH
5) Build reusable workflows
- Convert best prompts into a “golden prompt library” with examples and anti-patterns.
- Add scripts/bots that open PRs with consistent formatting and evidence.

6) Reviewer protection
- Create reviewer rotations and a cap on daily review load.
- Add “reviewable diffs” rules: split large changes automatically.

7) Compliance alignment
- Confirm retention and data-handling terms with vendors (DPA, SOC 2, ISO posture).
- Ensure audit trail exists: who requested, what tool ran, what changed, who approved.

DAYS 61–90: SCALE + SELECTIVE AUTONOMY
8) Expand scope by risk tier
- Tier 1 (safe): docs, tests, dependency bumps.
- Tier 2 (moderate): internal tools, refactors with strong tests.
- Tier 3 (restricted): customer-facing core logic, auth/payments (human-led only).

9) Introduce autonomous change lanes (only if ready)
- Preconditions: canary deploys, feature flags, automated rollback, strong observability.
- Start with one domain and one service; measure for 2–4 weeks before expanding.

10) Institutionalize learnings
- Add agent practices to onboarding.
- Run a quarterly “agent incident review” (like postmortems): what failed, what guardrail to add.

FINAL CHECK
If metrics improved but incidents increased, reduce autonomy and strengthen constraints.
If output increased but rework increased, reduce PR size and require stronger test evidence.
If reviewers are overwhelmed, throttle PR volume and productize workflows.

North Star: Lower cost of change—faster shipping with stable reliability and legible accountability.