
AI code review: the reviewer doesn't know your tradeoffs
A fresh reviewer still needs the context behind your decisions.
A question, a tradeoff, a different way to think about your code. Short moments on engineering, with full lessons to explore when you want to go deeper.
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A fresh reviewer still needs the context behind your decisions.

Getting a result is the start. Understanding its behavior comes next.

Unexpected changes deserve a closer look before you approve.

Use a small example to find the gaps in your understanding.

Check the behavior you rely on, including what should stay the same.

A perspective on breadth, ownership, and contributing beyond your role.

Make room for your own reasoning before asking AI for a solution.

Decide which knowledge blocks the task and which can wait.

The authoring tool changes. Your responsibility for shipping remains.

Understand the reasoning behind a change before taking ownership of it.
Explore the reasoning behind the idea with full episodes, interactive examples, and exercises in Engineering in the AI Era.