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Production Hardening Path

Who it's for

Teams with agent-built features (or whole products) that work in demos and need to survive production: verification strategy, security review, deploy discipline, and readiness.

Prerequisites

  • A staging environment and a real deploy path
  • Ability to enforce CI gates
  • Someone accountable for incidents (even if that's you)

Ordered modules

  1. Verification Strategy — what humans must own
  2. Reviewing AI Tests — agent tests lie differently
  3. Quality Gates — automate the boring gates
  4. Verification Checklists — operational checklists
  5. Reviewing AI PRs — last line before main
  6. Security review checklist — trust boundaries
  7. Deployment checklist — go-live hygiene
  8. Production Readiness review — subsystem bar
  9. Prototype to Production — demo → prod gap
  10. CI/CD Pipeline case study — gates in practice
  11. Production Debugging — when it still breaks
  12. Postmortem template — close the loop

Exercises

  1. Take one agent-merged feature; re-review with security + AI PR checklists; file gaps as tickets with owners.
  2. Add or tighten one CI gate that would have caught a real past failure (typecheck, boundary lint, smoke).
  3. Run a staging deploy using the deployment checklist; time how long smoke + watch takes; put that in the runbook.
  4. Draft production readiness for one service; get a no-go on purpose for one missing item, then fix it.

Capstone

Take one agent-built subsystem from "works on my machine" to production-ready: verification evidence, security checklist signed, deploy+rollback proven, readiness review go, and CLAUDE.md/DEPLOYMENT.md updated to match reality.

Expected outcome

You can articulate and enforce a production bar for agent-authored code — not "LGTM from the model," but gates, evidence, and rollback.

A field manual for AI-native software engineering.