Answering a code review
SkillMediaHow to answer code review feedback — a human reviewer, CodeRabbit, or any review bot. Verify the findings, report the classes they are instances of to the user before fixing, then fix the class rather than the sites named. Put design decisions to the user, then run /distill. Invoke when responding to review comments on a pull request, or to the findings of a /code-review run.
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What this skill tells your AI
The instructions your AI receives, as published by wado-lang/wado in .claude/skills/code-review-response/SKILL.md and read by ahel’s review.
A finding is a claim, not an instruction. The goal is a better codebase, never a cleared comment list.
Start with the classes, and report them
Answer the review as a whole before touching any single finding.
- Verify each finding against the current code, as below, so what follows rests on what is real rather than on what was claimed.
- Group the survivors by the class of defect each one is an instance of. Two findings in different files are often one class. One finding is often a class whose other instances the reviewer never reached.
- Report the classes to the user before writing any fix: what each class is, which findings fall out of it as instances, and what closing it would take. This is a report, not a request. State it and keep going; do not wait for approval. Only a design decision blocks, under its own heading below.
Then fix the class, not the finding. Raise the altitude and fix what admits the class — the missing invariant, the type that allows the state, the call site nobody has to remember. A patch at the site the reviewer named leaves the rest of the class standing, and the next review returns them one at a time.
Report first so the user can redirect the work while it is still cheap, not to ask whether to do it.
Verify before fixing
Reproduce the defect against the current code first, and fix only what survives that. Record which of these each finding was:
- Real → fix the cause. When the reviewer's patch is wrong, fix it anyway; the value was in the claim, not the suggestion.
- Grounded in a project rule the code breaks → fix it, and cite the rule.
- Not real, or already recorded as a known gap → skip, and say why.
Whose defect it is does not enter into it. AGENTS.md settles the question: a
pre-existing issue must be fixed whether you found it or a reviewer pointed it
out, and a compiler bug is P0 the moment you suspect one. Attributing a finding
to this branch or to the tree costs time and changes nothing you then do.
A severity label and an aggregate "merge risk" verdict track neither the truth nor what you have already answered. Neither is evidence of anything.
Tests are held to a higher bar
The question is what the test catches that it did not before. If the case the reviewer names cannot be constructed where they point, say so and skip it — after checking whether another test already covers it. An assertion that holds by construction, or a branch the fixture never takes, passes CI and guards nothing. It is worse than leaving the test alone: it reads as coverage.
Design decisions go to the user
A finding that changes a public API, a language rule, or a phase's contract is a proposal. Put it to the user with a recommendation and wait. Adopting it because a reviewer asked is how a design drifts without anyone deciding.
Then distill
Run /distill as its own step once the fixes land. A fix written to satisfy a
reviewer arrives in the reviewer's framing — their wording in its comments, an
explanation of the bug beside the code, a helper the codebase already had. Scope
is the whole branch, as always, not the fixes alone.
Report
One comment on the pull request: what was fixed, and what was skipped with its
reason. The skips are half the answer, not an omission from it. A review that
arrived outside a pull request, /code-review among them, is reported the same
way in the session.
Signals
- GitHub stars
- 116
- Forks
- 2
- Last commit
- Sep 2026
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code-review-response- Source
- github.com/wado-lang/wado