Coding Assistant Habits That Shorten Code Review
A coding assistant can produce a patch faster than a teammate can understand it. That mismatch moves work into review: reconstructing intent, checking assumptions, and separating useful changes from incidental edits. The better habit is to optimize for verification, not generation. This walkthrough turns an assistant session into a pull request that gives reviewers fewer questions to answer.
1. Define the review boundary before requesting code
Start with a task brief that names the expected behavior, the affected area, and explicit exclusions. For example: Reject expired reset tokens in the existing validation path. Preserve response formats. Do not change token generation or database schemas. Ask the assistant to summarize that boundary before editing. This catches misunderstandings while they are still cheap to correct.
Include acceptance criteria that a reviewer can observe. “Improve validation” is vague; “an expired token returns the existing invalid-token response without updating the password” describes a checkable outcome.
2. Request a repository map, not an immediate patch
Have the assistant locate the implementation, its callers, nearby tests, and repository guidance. Ask it to identify the existing pattern it intends to follow, with file paths. Require it to distinguish inspected facts from assumptions. A plausible explanation is not evidence that it found the correct execution path.
Read that short map yourself. If the assistant proposes a new abstraction where a local helper already exists, redirect it before implementation. Reviewers should not need to explain established conventions after the patch is complete.
3. Keep each patch centered on one decision
Tell the assistant to avoid unrelated renaming, formatting, dependency upgrades, and cleanup. Those edits may be reasonable, but they enlarge the surface a reviewer must inspect. If cleanup is necessary, separate it from the behavior change and explain why it is a prerequisite.
After generation, inspect the diff summary and full diff. Unexpected files deserve an explanation. A formatter touching an entire module is not automatically harmless; it can obscure the lines that matter.
4. Make tests expose the contract
Ask for tests organized around observable behavior, including the failure path and an unaffected success path. For the reset-token example, cover expired rejection and valid-token acceptance. Where relevant, verify that rejection leaves persistent state unchanged. Prefer the repository’s existing test style over a new fixture framework.
When practical, run the regression test against the original implementation to confirm that it fails for the intended reason. Then run it against the patch. A test that passes both versions may protect existing behavior without demonstrating the fix.
5. Record execution evidence precisely
Require the assistant to report the exact checks attempted, their outcomes, and anything it could not run. “Tests added” and “tests passed” are different claims. If a command fails because a service is unavailable, report that limitation rather than presenting the patch as verified.
Keep this evidence independent of the model or client you use. If your team accesses assistants through CodeRelay Hub, the same task brief and verification checklist can travel with the work. Switching assistants does not replace checking the resulting patch.
6. Run an adversarial review pass
Before opening the pull request, ask the assistant to inspect the diff without editing it. Request concrete risks involving compatibility, authorization, concurrency, error handling, and missing coverage, but only where relevant. Ask each finding to include a location and a failure scenario. Generic warnings create more reading, not more confidence.
Evaluate every finding yourself. Fix genuine issues and discard unsupported speculation. Do not let this pass trigger an unrequested architectural rewrite.
7. Write the handoff around reviewer questions
Use the assistant to draft a short pull request description covering what changed, why it changed, how it was checked, and remaining uncertainty. Add a suggested reading order when several files participate in the behavior. Mention any operational dependency or compatibility constraint explicitly.
Then remove claims you cannot substantiate. The final handoff should make the human author’s understanding visible, not reproduce the assistant’s session transcript. A reviewer should be able to locate the contract, inspect the implementation, and evaluate the evidence without reverse-engineering your process.
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