AI agents are writing more code than ever before. Teams need a new way to work when machines generate most of the output. This approach helps you design processes, reviews, and architecture for that reality.
Planning quality matters more than typing speed. Eval coverage beats anecdotal confidence. Reviews shift focus from syntax to system behavior. You need agent-friendly architectures with clear boundaries, stable contracts, typed interfaces, and deterministic tests.
Strong engineers in this model decompose ambiguous work, define measurable criteria, and enforce risk controls. The testing bar is higher for generated code. This skill gives you the rules to ship safely and reliably with AI help.
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