An AI coding assistant has finished a task, shown green tests and proposed a merge. That is still not enough evidence: a successful command does not prove the change meets the requirement, protects data or leaves adjacent behavior intact. This checklist works for a change made with yCode or any other coding tool.
Define the boundary of the task
Write down the expected behavior with one concrete example: input, result and what must remain unchanged. If the request is to fix discount calculation, a changed formula alone is not acceptance. Specify which discount applies, where rounding occurs and what happens when data is missing. Confirm that the assistant worked against the intended repository and current branch.
Read the diff, not only the summary
Review each changed file and ask why it is needed. Pay extra attention to migrations, permissions, configuration, dependencies and error handling. If the assistant has changed files outside the agreed scope, request a smaller revision. Keep secrets and customer data out of prompts and logs.
Verify the evidence
At minimum, ask for a test that reproduced the original bug, a test of the fix and a nearby scenario that could regress. Record the command, environment and result. If tests are absent or the run was blocked, state that explicitly. An AI statement that everything works is not evidence.
For example, a rounding change might make one test return 100 instead of 99. Those are illustrative numbers, not a customer outcome. Check boundary values, negative adjustments and repeated runs before accepting the wider behavior.
Make a review decision
Choose one of three outcomes: merge, request changes or stop. Keep a link to the task, an explanation of the diff, the checks performed and known limitations. Assign a human reviewer for sensitive changes. After deployment, verify the behavior in the actual environment; local tests and a working service answer different questions.
Our earlier guide covered verifying an SEO fix after deployment. The principle is the same: close a task against an observable result, not a “done” message.
yCode in Yasnora AI is a Beta tool for working with repositories, plans, changes and tests under developer control. Availability depends on current plan and configuration. AI review does not replace human review or verified execution. Learn more at yasnora.ru. Yasnora is part of the Wicsora ecosystem.
