Phase 10: Career, Portfolio & Interview Engineering · 45 min · Claude Code · Python
Building the Portfolio
A GitHub full of ten small AI demos proves you can start projects. One production system with a spec, a harness, and a real incident postmortem proves you can finish one, under real conditions, and learn from what broke.
What you will learn
- Explain why one verifiable, production-depth artifact outweighs many shallow demo projects in a technical portfolio
- Identify the three highest-leverage portfolio artifacts for an AI-native product engineer: a spec+harness+quality-gated system, a context architecture document, and an incident postmortem
- Write a blameless, root-cause-focused incident postmortem for a real failure in your own course-long product
- Present your course-long product's full arc, from spec to production platform as a single coherent portfolio centerpiece
Introduction
Building the Portfolio
Objective
Score a draft portfolio (spec link, harness/quality-gate config, incident postmortem) against what each of the three artifacts needs to actually prove.
Unlock the full lesson
You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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