Phase 10: Career, Portfolio & Interview Engineering · 45 min · Claude Code · Python

Interview Engineering: Live AI-Native Coding

Anyone can prompt an AI assistant and accept the first output. The interview signal is in what happens before the prompt (stating the spec) and after the output (reviewing it before running it) — not in the prompt itself.

Real-world application: Demonstrating spec-first prompting and reviewing generated code before running it, live, is the concrete behavior that separates 'engineers with AI' from 'prompts an AI and hopes' — exactly the distinction this course opened with in c12-00.

What you will learn

Explain what a 'vibecoding assessment' evaluates in 2026 hiring and why it's distinct from a traditional algorithmic coding screen
Demonstrate spec-first prompting live: stating acceptance criteria before prompting an AI assistant, not after
Review AI-generated code against the stated spec before running it, rather than accepting the first output
Show (not just claim) engineering judgment by catching and explaining a real issue in AI-generated code during a live session

Introduction

Interview Engineering: Live AI-Native Coding

Objective

Check whether a mock live-coding session transcript shows spec-first prompting, code review before execution, and an issue caught and explained unprompted versus only found after being pointed out.

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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