Week 26 — Capstone IV — Ship, Measure, Defend
Capstone live with pilot users, measured, defended, and written up publicly
Mock review
staged rolloutpilot usersexperiment readoutrunbooklaunch memocapstone defenceretrospectivepublishing
Ways of working: Course retrospective
Capstone · Mock review #7: the final panel
1. Ship (~2.5 hrs)
- Production environment separate from dev and preview, deployed from CI only
- Staged rollout: you → 2–3 friendly users → full pilot group, watching SLOs and errors at each step
- Runbook covering the top 5 failure modes, kill switch, rollback and contacts
- The experiment from week 25 running
2. Measure (~2 hrs)
At the end of the week (or as late as the sample allows):
- Experiment readout with a confidence interval and a decision (ship, kill or iterate)
- North-star and guardrail metrics against the targets set in week 23
- AI-feature production quality: a sample of real outputs graded against your eval rubric. Did production match the offline evals?
- Actual cost vs the estimate
3. Launch memo (~1 hr)
Write one page for an exec audience covering:
- what you built and for whom
- the result, with numbers and uncertainty
- the risks you’ve handled and the ones that remain
- what it would cost to scale
- the recommendation and the next three bets
No jargon.
4. Capstone defence (~1.5 hrs)
Tell Claude: “Run the final panel: a staff SWE, a senior data engineer, an SRE and an exec. 60 minutes. Don’t go easy.” Present:
- the design doc
- a demo
- eval results
- the experiment readout
- the cost
- the postmortem from any real incident
Pass bar:
- You defend each major decision with its trade-offs.
- You identify your system’s weakest point before the panel does.
- You say “I don’t know, here’s how I’d find out” where that’s the honest answer.
- The exec understands the memo without asking for translation.
5. Retrospective (~1 hr)
Write retro.md:
- your week 1 vs week 26 self-assessment on CLI, git, Python, TypeScript, SQL, Databricks, AI engineering, production, system design and stats (1–5 each)
- where estimates were most wrong, across the whole course
- what you’d now do differently as a PM, and what you’ll stop doing
- the next 3 skills to deepen
6. Publish (~1 hr)
- Clean up the repo: README, architecture diagram, how to run it, and screenshots.
- Turn your 26 teach-backs into an index page.
- Write a public post: “26 weeks from PM to product engineer: what I built and what I learned.”
Done when
- Capstone live with pilot users
- Experiment readout and metrics reviewed
- Launch memo written
- Final panel passed
- Retrospective written
- Repo and teach-backs published