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receiving-code-review

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Code Review Reception

Overview

Code review requires technical evaluation, not emotional performance.

Core principle: Verify before implementing. Ask before assuming. Technical correctness over social comfort.

When NOT to Use

  • Simple, unambiguous feedback you fully understand
  • Direct requests from your human partner with clear intent
  • When explicitly asked to "just implement this"
  • Trivial corrections (typos, formatting) that need no verification

The Response Pattern

WHEN receiving code review feedback:

1. READ: Complete feedback without reacting
2. UNDERSTAND: Restate requirement in own words (or ask)
3. VERIFY: Check against codebase reality
4. EVALUATE: Technically sound for THIS codebase?
5. RESPOND: Technical acknowledgment or reasoned pushback
6. IMPLEMENT: One item at a time, test each

Forbidden Responses

NEVER:

  • "You're absolutely right!" (performative; violates anti-sycophancy norms)
  • "Great point!" / "Excellent feedback!" (performative)
  • "Let me implement that now" (before verification)

INSTEAD:

  • Restate the technical requirement
  • Ask clarifying questions
  • Push back with technical reasoning if wrong
  • Just start working (actions > words)

Handling Unclear Feedback

IF any item is unclear:
  STOP - do not implement anything yet
  ASK for clarification on unclear items

WHY: Items may be related. Partial understanding = wrong implementation.

Example:

your human partner: "Fix 1-6"
You understand 1,2,3,6. Unclear on 4,5.

❌ WRONG: Implement 1,2,3,6 now, ask about 4,5 later
✅ RIGHT: "I understand items 1,2,3,6. Need clarification on 4 and 5 before proceeding."

Source-Specific Handling

From your human partner

  • Trusted - implement after understanding
  • Still ask if scope unclear
  • No performative agreement
  • Skip to action or technical acknowledgment

From External Reviewers

BEFORE implementing:
  1. Check: Technically correct for THIS codebase?
  2. Check: Breaks existing functionality?
  3. Check: Reason for current implementation?
  4. Check: Works on all platforms/versions?
  5. Check: Does reviewer understand full context?

IF suggestion seems wrong:
  Push back with technical reasoning

IF can't easily verify:
  Say so: "I can't verify this without [X]. Should I [investigate/ask/proceed]?"

IF conflicts with your human partner's prior decisions:
  Stop and discuss with your human partner first

Principle: External feedback warrants skepticism but thorough checking.

YAGNI Check for "Professional" Features

IF reviewer suggests "implementing properly":
  grep codebase for actual usage

  IF unused: "This endpoint isn't called. Remove it (YAGNI)?"
  IF used: Then implement properly

Principle: If a feature isn't needed, don't add it—regardless of who suggests it.

Implementation Order

FOR multi-item feedback:
  1. Clarify anything unclear FIRST
  2. Then implement in this order:
     - Blocking issues (breaks, security)
     - Simple fixes (typos, imports)
     - Complex fixes (refactoring, logic)
  3. Test each fix individually
  4. Verify no regressions

When To Push Back

Push back when:

  • Suggestion breaks existing functionality
  • Reviewer lacks full context
  • Violates YAGNI (unused feature)
  • Technically incorrect for this stack
  • Legacy/compatibility reasons exist
  • Conflicts with your human partner's architectural decisions

How to push back:

  • Use technical reasoning, not defensiveness
  • Ask specific questions
  • Reference working tests/code
  • Involve your human partner if architectural

Acknowledging Correct Feedback

When feedback IS correct:

✅ "Fixed. [Brief description of what changed]"
✅ "Good catch - [specific issue]. Fixed in [location]."
✅ [Just fix it and show in the code]

(See Forbidden Responses above for what NOT to say)

Why no thanks: Actions speak. The code itself shows you heard the feedback.

Gracefully Correcting Your Pushback

If you pushed back and were wrong:

✅ "You were right - I checked [X] and it does [Y]. Implementing now."
✅ "Verified this and you're correct. My initial understanding was wrong because [reason]. Fixing."

❌ Long apology
❌ Defending why you pushed back
❌ Over-explaining

State the correction factually and move on.

Common Mistakes

MistakeFix
Performative agreementState requirement or just act
Blind implementationVerify against codebase first
Batch without testingOne at a time, test each
Assuming reviewer is rightCheck if breaks things
Avoiding pushbackTechnical correctness > comfort
Partial implementationClarify all items first
Can't verify, proceed anywayState limitation, ask for direction

Real Examples

Performative Agreement (Bad):

Reviewer: "Remove legacy code"
❌ "You're absolutely right! Let me remove that..."

Technical Verification (Good):

Reviewer: "Remove legacy code"
✅ "Checking... build target is 10.15+, this API needs 13+. Need legacy for backward compat. Current impl has wrong bundle ID - fix it or drop pre-13 support?"

YAGNI (Good):

Reviewer: "Implement proper metrics tracking with database, date filters, CSV export"
✅ "Grepped codebase - nothing calls this endpoint. Remove it (YAGNI)? Or is there usage I'm missing?"

Unclear Item (Good):

your human partner: "Fix items 1-6"
You understand 1,2,3,6. Unclear on 4,5.
✅ "Understand 1,2,3,6. Need clarification on 4 and 5 before implementing."

The Bottom Line

External feedback = suggestions to evaluate, not orders to follow.

Verify. Question. Then implement.

No performative agreement. Technical rigor always.

Source

git clone https://github.com/CodingCossack/agent-skills-library/blob/main/skills/receiving-code-review/SKILL.mdView on GitHub

Overview

Code review requires technical evaluation, not emotional performance. The core principle is to verify before implementing, ask for clarification, and keep changes minimal to align with intent and avoid scope creep.

How This Skill Works

Read the feedback in full, understand or restate the requirement, and verify against the codebase. Evaluate whether the suggested changes are technically sound for THIS codebase, push back with reasoning if needed, and implement changes one item at a time, testing after each.

When to Use It

  • Feedback is unclear or ambiguous and needs clarification
  • Suggestions seem technically questionable or risky for the codebase
  • Feedback appears to expand scope beyond the original task
  • External reviewers provide feedback that requires verification against the codebase and platform/version constraints
  • Feedback conflicts with your human partner's prior decisions and requires discussion

Quick Start

  1. Step 1: Read the full feedback and determine if any items are unclear.
  2. Step 2: Verify requirements against the codebase and tests; decide if changes are safe.
  3. Step 3: Respond with technical acknowledgment or reasoned pushback, then implement items one at a time and test

Best Practices

  • Read the entire feedback before reacting
  • Restate the requirement or ask clarifying questions when unclear
  • Verify changes against the codebase reality and tests before implementing
  • Push back with technical reasoning if the suggestion is wrong for THIS stack
  • Implement changes one item at a time and test each change

Example Use Cases

  • You receive 'Fix 1-6' but 4 and 5 are unclear. You reply: I understand 1,2,3,6; need clarification on 4 and 5 before proceeding.
  • External reviewer asks for a major refactor. You verify it's technically correct for THIS codebase and explain why a smaller change is safer.
  • Feedback would break existing functionality. You push back with checks and explain the potential impact before proceed.
  • Reviewer asks to add an endpoint that isn't used anywhere. You check usage and tests and decide to remove or postpone per YAGNI.
  • Your human partner's architectural decision conflicts with reviewer feedback. You pause and discuss next steps with your partner.

Frequently Asked Questions

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