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How do you review AI-generated code without reading every line?

Review the declared boundary, changed paths, validation evidence, and risk areas first, then inspect code where the evidence or scope requires it.

Direct answer

Do not review AI-generated code as an undifferentiated block. First compare the implementation summary with the task scope and validation evidence; then inspect the files and decisions that carry security, behavior, integration, or maintenance risk.

Repository workflow hierarchy from specification through reconciliation.

Practical guidance

Make the next review decision easier.

Review the contract first

Confirm that the objective, target paths, and acceptance criteria are still the right boundary. A clean diff cannot compensate for a task that solved the wrong problem.

Use evidence to focus inspection

Changed paths and validation results identify what needs attention. Read the critical logic and integration boundaries deeply rather than treating every generated line as equally risky.

Keep the acceptance decision explicit

Reconciliation provides one place to record whether each acceptance criterion is met, missing evidence, or needs a follow-up task.

Verified demo evidence

A public CLI result, not a completion claim.

This command and result are from the website’s checked-in synthetic repository demo. Substitute your own repository paths and validation command when you apply the workflow.
$ day-shift reconciliation build --milestone-overview <milestone-overview>
reconciliation_status: completed

Authorship and sources

Trace this guidance to maintained product evidence.

Maintainer
Tianna McCoy ↗Day Shift maintainer; responsible for the repository-native workflow and release evidence referenced here.
Last updated
Tested Day Shift
v0.1.24

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