Phase 0: The AI-Native Engineering Mindset · 40 min · Claude Code · Cursor · Git

From Implementer to Orchestrator

You own the spec, the harness, and the validation — the agent owns the typing.

What you will learn

Explain the shift from implementer to orchestrator in your own words, using a concrete example from your own work
Name the five building blocks of AI-native engineering (agent, model, methodology, spec, context) and identify which ones a given team is missing
Diagnose why an unstructured, prompt-only workflow ('vibe coding') breaks down once a codebase reaches production scale
Run a readiness audit against a real repository and interpret the resulting score

Introduction

From Implementer to Orchestrator

Objective

Scan a real git repository and score it against the five building blocks of AI-native engineering (agent, model, methodology, spec, context), producing a concrete, file-level gap report.

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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