Evidence should be inspectable
A reviewer needs names of files, commands, and results, not a broad statement that the implementation is complete.
Answer page
What evidence should an AI coding agent leave after a change?
Require a written implementation summary with changed paths, validation results, unresolved risks, and an acceptance or follow-up decision.
Direct answer
After a change, an AI coding agent should leave the task it worked from, an implementation summary naming completed work and changed paths, the exact validation it ran and observed results, unresolved issues, and reconciliation against the acceptance criteria.
Practical guidance
Make the next review decision easier.
Evidence should match the task
Validation only supports acceptance when it covers the behavior and scope the task declared. A passing unrelated command is not sufficient.
Evidence should include gaps
Unresolved risks and skipped checks belong in the summary so a human can decide whether to accept, remediate, or split follow-up work.
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: "Run the declared test gate for this repository scope."
outcome: 1 test passed; 0 failedAuthorship 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 Review AI-Generated Code Without Reading Every Line
Focus code review on the declared boundary, evidence, and high-risk decisions.
Read nextHow to Prevent Coding Agents from Skipping Validation
Require executable validation up front and recorded results before coding-agent work can be accepted.
Read nextHow to Make AI Coding-Agent Work Reviewable
Make coding-agent work reviewable with bounded repository artifacts, named validation, and written implementation evidence.
Read nextFind your answer
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