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.
Answer page
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.
Practical guidance
Make the next review decision easier.
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 prompt and outcome, not a completion claim.
This prompt and outcome are from the website’s checked-in synthetic repository demo. Substitute your own repository paths and declared validation gates when you apply the workflow.
Repository-writing command
Prompt: "Build milestone reconciliation evidence from current task and validation state."
outcome: reconciliation_status: completedAuthorship 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
- v0.2.26
Keep exploring
Follow the next question, not a generic funnel.
How to Make AI Coding-Agent Work Reviewable
Make coding-agent work reviewable with bounded repository artifacts, named validation, and written implementation evidence.
Read nextWhat Evidence Should an AI Coding Agent Leave After a Change?
The repository evidence a reviewer needs after agent-assisted implementation.
Read nextDo Coding-Agent Workflows Replace Pull Requests, Code Review, or CI?
How repository workflow artifacts complement existing pull-request, review, and CI controls.
Read nextFind your answer
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