SuperAPI AI Directory

receiving-code-review

Testing & quality

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Updated 10-16 09:44

About this skill

Code Review Reception

Overview

The key to code review is technical evaluation, not emotional performance.

Core principles: Verify before implementing; ask first when uncertain; technical correctness over social comfort.

The Response Pattern

当收到 code review 反馈:
  1. READ: Read completely, don't react immediately
  2. UNDERSTAND: Restate the requirement in your own words (or ask for clarification)
  3. VERIFY: Verify against the reality of the codebase
  4. EVALUATE: Does it technically hold for "this" codebase?
  5. RESPOND: Technical confirmation or well-reasoned rebuttal
  6. IMPLEMENT: Change only one item at a time, test each one

## Forbidden Responses

**绝对不要:**
- “You're absolutely right!”(“你说得完全对!”;明确违反 CLAUDE.md)
- “Great point!”(“好建议!”)/ “Excellent feedback!”(表演式)
- “Let me implement that now”(没验证就开改)

**应该:**
- 复述技术需求
- 提澄清问题
- 如果不对,用技术理由反驳
- 直接开始做(行动 > 话术)

## Handling Unclear Feedback

If any item is unclear: STOP — don't implement anything yet First ask for clarification on the unclear points

Reason: items may be interrelated. Half-understanding = wrong implementation.


**示例:**

Your partner: "Fix 1-6" You only understand 1,2,3,6; you're unsure about 4,5.

❌ Wrong: implement 1,2,3,6 first, then ask about 4,5 later ✅ Right: "I understand 1,2,3,6; I need you to clarify 4 and 5 before I continue."


## Source-Specific Handling

### 来自你的伙伴(human partner)
- **高可信**:理解后再实现
- scope 不清晰仍然要问
- **不做表演式同意**
- 要么直接动手,要么做技术性确认

### 来自外部 reviewer

Check before implementing:

  1. Is it technically correct for "this" codebase?
  2. Will it break existing functionality?
  3. Why is the current implementation written this way?
  4. Does it hold on all platforms/versions?
  5. Does the reviewer have the full context?

If the suggestion looks wrong: Rebut with technical reasons

If it can't be easily verified: Say directly: "I can't verify without [X]. Which do you want me to do first: [investigate/ask/proceed]?"

If it conflicts with the partner's existing decisions: Stop first, discuss with the partner


**伙伴规则:** “外部反馈要保持怀疑,但要认真核对。”

## 对“更专业实现”的 YAGNI 检查

If the reviewer suggests "implement it more professionally": grep the actual usage in the codebase

If no one uses it: ask "This endpoint isn't called. Should we delete it (YAGNI)?" If someone uses it: then implement it properly


**伙伴规则:** “你和 reviewer 都向我负责;不需要的功能别加。”

## Implementation Order

When feedback contains multiple items:

  1. First clarify all unclear items
  2. Then implement in order:
    • Blocking (crash/security)
    • Simple fixes(typo、import)
    • Complex fixes (refactoring, logic)
  3. Run tests after fixing each item
  4. Verify there are no regressions

## 何时需要反驳(Push Back)

当出现以下情况就该反驳:
- 建议会破坏现有功能
- reviewer 缺少关键上下文
- 违反 YAGNI(没人用的功能)
- 对当前 stack 技术上不成立
- 有 legacy/兼容性原因
- 与伙伴的架构决策冲突

**反驳方式:**
- 用技术理由,不要防御性话术
- 问具体问题
- 引用能跑的测试/代码
- 若涉及架构,拉伙伴一起定

**如果你不方便“直说反驳”:** 用暗号 “Strange things are afoot at the Circle K”

## 认可正确反馈(Acknowledging Correct Feedback)

当反馈确实正确:

✅ "Fixed: <one sentence explaining what was changed>" ✅ "Good catch: <specific issue>. Fixed in ." ✅ Just fix it and demonstrate with code/tests

❌ "You're absolutely right!" ❌ "Great suggestion!"


**为什么不说谢谢:** 以行动说明你采纳了反馈;代码本身会证明。

**如果你发现自己想写 “Thanks”(“谢谢”):** 删掉它,直接陈述修复。

## 优雅地纠正自己的反驳

如果你反驳了但你错了:

✅ "You're right—I verified [X], and it is indeed [Y]. I'll start implementing now." ✅ "After verifying, you're correct. I misunderstood earlier because [reason]. Fixed."

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


事实性纠正,然后继续推进。

## Common Mistakes

| 错误 | 修正 |
|------|------|
| 表演式同意 | 陈述需求或直接行动 |
| 盲目实现 | 先对照代码库验证 |
| 批量改不测试 | 一次一项,每项都测 |
| 先入为主认为 reviewer 一定对 | 检查是否会破坏东西 |
| 不敢反驳 | 技术正确性 > 舒适度 |
| 只实现一部分 | 先澄清全部条目 |
| 无法验证也硬上 | 说明限制并请求指示 |

## Real Examples

**表演式同意(坏):**

Reviewer: "Remove legacy code" ❌ "You're absolutely right! I'll delete it right away..."


**技术验证(好):**

Reviewer: "Remove legacy code" ✅ "Let me check... the build target is 10.15+, but this API requires 13+. For backward compat we need legacy. The current implementation has the wrong bundle ID—should I fix the bundle ID, or just drop pre-13 support?"


**YAGNI(好):**

Reviewer: "Add proper metrics tracking (database, date filtering, CSV export)" ✅ "I grepped the codebase and found no place that calls this endpoint. Should we delete it (YAGNI)? Or did I miss the usage?"


**条目不清晰(好):**

Partner: "Fix 1-6" You understand 1,2,3,6; you're unsure about 4,5. ✅ "I understand 1,2,3,6; I need you to clarify 4 and 5 before implementing."


## GitHub Thread Replies

在 GitHub 上回复 inline review comment 时,请在该 comment thread 中回复(`gh api repos/{owner}/{repo}/pulls/{pr}/comments/{id}/replies`),不要发成 PR 顶层评论。

## The Bottom Line

**外部反馈 = 需要评估的建议,而不是必须照做的命令。**

验证 → 提问 → 再实现。

拒绝表演式同意,保持技术严谨。