Phase 0: The AI-Native Engineering Mindset · 45 min · Claude Code · Python · Git
The AI-Native Engineering Loop
Specify, generate, validate, ship, operate — one loop, repeated, not five separate jobs.
What you will learn
- Describe the specify -> generate -> validate -> ship -> operate loop and what each stage produces as a durable artifact
- Identify which stage a given piece of AI-assisted work belongs to, and what's missing when a team skips a stage
- Choose a real, buildable course-long product to carry through all 12 phases of this course
- Use a stage-gated project tracker that refuses to advance past a stage whose artifact isn't actually present
Introduction
The AI-Native Engineering Loop
Objective
Scaffold a real project directory for your course-long product and enforce specify -> generate -> validate -> ship -> operate stage gates so the tracker refuses to advance past a stage whose required artifact is missing.
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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