AI Engineering/Phase 14/Lesson 41

The Workbench on a Real Repo

Eleven lessons of surfaces are worth nothing if they do not survive contact with a real codebase. This lesson runs the same task twice on a small sample app: prompt-only versus workbench-guided. The numbers do the arguing.

Build 1 hr Python (stdlib)

Prerequisites: Phases 14 · 32 to 14 · 40

#Learning Objectives

Bring the seven workbench surfaces together on a small application.
Run the same task twice (prompt-only and workbench-guided) and measure five outcomes.
Read the before/after report and decide which surfaces gave the most leverage.
Defend the workbench against a "but my model is good enough" pushback.

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.