How to give AI coding agents useful context in real repositories: task boundaries, file evidence, project constraints, and acceptance checks that make the result reviewable.
A practical guide to where AI coding tools help most: reading code, adding tests, moving boilerplate, tracing call chains, and making small verified changes, without handing over architecture decisions too early.