2nd/10_Wiki/Topics/Architecture/Modern Review Workflow.md

---
id: wiki-2026-0508-modern-review-workflow
title: Modern Review Workflow
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [AI Code Review, PR Review 2026, Augmented Review]
duplicate_of: none
source_trust_level: A
confidence_score: 0.9
verification_status: applied
tags: [code-review, ci-cd, ai-augmented, pr-workflow]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: typescript
  framework: github-actions
---

# Modern Review Workflow

## 매 한 줄
> **"매 review = human judgment + AI scaffolding"**. 2026년 PR review 매 single-reviewer linting → multi-agent triage 의 진화. Claude Opus 4.7 / Codex 가 매 first-pass (style, security, regression) 를 처리, human 의 매 architectural / product 판단에 집중.

## 매 핵심

### 매 단계
- **Pre-PR**: 매 author-side `claude review` local 의 self-check.
- **CI gate**: 매 automated agent 의 매 diff scan — security, perf, test coverage.
- **Human review**: 매 design intent / API contract / UX trade-off 의 deep dive.
- **Post-merge**: 매 deploy preview + canary metrics 의 watch.

### 매 agent layer
- **Linter agent**: style, type, dead code.
- **Security agent**: secret scan, OWASP, dependency CVE.
- **Test agent**: coverage delta, flaky detect, mutation score.
- **Review agent**: 매 prose summary + risk flag (Claude Opus 4.7).

### 매 응용
1. Solo dev: 매 CI agent 만 = 매 reviewer 효과.
2. 팀 (10+): tiered — agent gate → senior architect.
3. OSS: 매 maintainer triage 의 cost 감소.

## 💻 패턴

### GitHub Actions: Claude review hook
```yaml
name: ai-review
on:
  pull_request:
    types: [opened, synchronize]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with: { fetch-depth: 0 }
      - uses: anthropics/claude-code-action@v1
        with:
          api-key: ${{ secrets.ANTHROPIC_API_KEY }}
          model: claude-opus-4-7
          mode: review
          target-base: ${{ github.base_ref }}
          comment-style: inline
```

### Inline comment poster
```typescript
import Anthropic from "@anthropic-ai/sdk";
import { Octokit } from "@octokit/rest";

const a = new Anthropic();
const gh = new Octokit({ auth: process.env.GH_TOKEN });

export async function reviewDiff(owner: string, repo: string, pr: number) {
  const { data: files } = await gh.pulls.listFiles({ owner, repo, pull_number: pr });
  const diff = files.map((f) => `### ${f.filename}\n${f.patch ?? ""}`).join("\n\n");

  const res = await a.messages.create({
    model: "claude-opus-4-7",
    max_tokens: 4096,
    system: "You are a senior reviewer. Output JSON: {comments: [{path, line, body, severity}]}.",
    messages: [{ role: "user", content: diff }],
  });

  const { comments } = JSON.parse((res.content[0] as any).text);
  for (const c of comments) {
    await gh.pulls.createReviewComment({
      owner, repo, pull_number: pr, ...c,
      commit_id: process.env.HEAD_SHA!,
    });
  }
}
```

### Local pre-PR self-check
```bash
# .git/hooks/pre-push
#!/usr/bin/env bash
set -e
git diff origin/main...HEAD | claude -p "Review this diff. Flag bugs, security, perf only. No style." --model claude-opus-4-7
```

### Risk-tiered routing
```typescript
type Risk = "low" | "medium" | "high";

function classify(diff: string): Risk {
  if (/migrations\/|schema\./.test(diff)) return "high";
  if (/auth|payment|crypto/i.test(diff)) return "high";
  if (diff.split("\n").length > 500) return "medium";
  return "low";
}

function reviewers(r: Risk): string[] {
  return {
    low: ["ai-bot"],
    medium: ["ai-bot", "@team-lead"],
    high: ["ai-bot", "@security", "@architect"],
  }[r];
}
```

### Mutation-test gate
```yaml
- name: stryker
  run: npx stryker run --threshold.break 70
```

### Coverage delta comment
```typescript
const before = await coverage("main");
const after = await coverage("HEAD");
const delta = after.lines - before.lines;
if (delta < -1) await gh.issues.createComment({
  ...ctx, body: `⚠️ Coverage dropped ${delta.toFixed(1)}%`,
});
```

### Auto-merge on green + AI ack
```yaml
- if: ${{ steps.ai-review.outputs.severity == 'none' && steps.tests.outcome == 'success' }}
  run: gh pr merge ${{ github.event.pull_request.number }} --squash --auto
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| Solo / OSS | AI agent only, human spot-check |
| Small team | AI gate + 1 human (rotating) |
| Regulated (fin/health) | AI + 2 humans + audit log |
| Hot path / migrations | Mandatory architect review |

**기본값**: AI first-pass + 1 human reviewer + risk-tiered escalation.

## 🔗 Graph
- 부모: [[CI CD]]
- 변형: [[Pair-Programming]] · [[Mob-Programming]]
- 응용: [[Trunk-Based-Development]]
- Adjacent: [[Static-Analysis]] · [[Mutation-Testing]]

## 🤖 LLM 활용
**언제**: 매 diff scan, security triage, coverage summary, prose explanation 의 PR description.
**언제 X**: 매 architectural decision, API contract negotiation, domain-specific business rule — human 의 judgment.

## ❌ 안티패턴
- **AI rubber-stamp**: 매 agent approve = 매 human 의 skip. 매 critical path 의 review 누락.
- **Comment flood**: agent 의 매 nitpick → noise. Severity threshold 의 setting.
- **No risk tiering**: schema migration 매 typo fix 와 동급 review → bottleneck.
- **Secrets in prompt**: diff 의 secret 의 leak. Pre-scan + redact.

## 🧪 검증 / 중복
- Verified (GitHub blog 2025, Anthropic Claude Code docs 2026, Google Eng Practices).
- 신뢰도 A.

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — AI-augmented PR review workflow with Claude Opus 4.7 patterns |