refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Antigravity Agent
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---
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id: wiki-2026-0508-modern-review-workflow
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title: Modern Review Workflow
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [AI Code Review, PR Review 2026, Augmented Review]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [code-review, ci-cd, ai-augmented, pr-workflow]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: typescript
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framework: github-actions
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---
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# Modern Review Workflow
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## 매 한 줄
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> **"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.
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## 매 핵심
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### 매 단계
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- **Pre-PR**: 매 author-side `claude review` local 의 self-check.
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- **CI gate**: 매 automated agent 의 매 diff scan — security, perf, test coverage.
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- **Human review**: 매 design intent / API contract / UX trade-off 의 deep dive.
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- **Post-merge**: 매 deploy preview + canary metrics 의 watch.
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### 매 agent layer
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- **Linter agent**: style, type, dead code.
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- **Security agent**: secret scan, OWASP, dependency CVE.
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- **Test agent**: coverage delta, flaky detect, mutation score.
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- **Review agent**: 매 prose summary + risk flag (Claude Opus 4.7).
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### 매 응용
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1. Solo dev: 매 CI agent 만 = 매 reviewer 효과.
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2. 팀 (10+): tiered — agent gate → senior architect.
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3. OSS: 매 maintainer triage 의 cost 감소.
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## 💻 패턴
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### GitHub Actions: Claude review hook
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```yaml
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name: ai-review
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on:
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pull_request:
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types: [opened, synchronize]
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jobs:
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review:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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with: { fetch-depth: 0 }
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- uses: anthropics/claude-code-action@v1
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with:
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api-key: ${{ secrets.ANTHROPIC_API_KEY }}
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model: claude-opus-4-7
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mode: review
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target-base: ${{ github.base_ref }}
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comment-style: inline
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```
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### Inline comment poster
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```typescript
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import Anthropic from "@anthropic-ai/sdk";
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import { Octokit } from "@octokit/rest";
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const a = new Anthropic();
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const gh = new Octokit({ auth: process.env.GH_TOKEN });
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export async function reviewDiff(owner: string, repo: string, pr: number) {
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const { data: files } = await gh.pulls.listFiles({ owner, repo, pull_number: pr });
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const diff = files.map((f) => `### ${f.filename}\n${f.patch ?? ""}`).join("\n\n");
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const res = await a.messages.create({
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model: "claude-opus-4-7",
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max_tokens: 4096,
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system: "You are a senior reviewer. Output JSON: {comments: [{path, line, body, severity}]}.",
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messages: [{ role: "user", content: diff }],
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});
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const { comments } = JSON.parse((res.content[0] as any).text);
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for (const c of comments) {
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await gh.pulls.createReviewComment({
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owner, repo, pull_number: pr, ...c,
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commit_id: process.env.HEAD_SHA!,
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});
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}
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}
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```
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### Local pre-PR self-check
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```bash
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# .git/hooks/pre-push
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#!/usr/bin/env bash
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set -e
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git diff origin/main...HEAD | claude -p "Review this diff. Flag bugs, security, perf only. No style." --model claude-opus-4-7
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```
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### Risk-tiered routing
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```typescript
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type Risk = "low" | "medium" | "high";
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function classify(diff: string): Risk {
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if (/migrations\/|schema\./.test(diff)) return "high";
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if (/auth|payment|crypto/i.test(diff)) return "high";
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if (diff.split("\n").length > 500) return "medium";
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return "low";
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}
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function reviewers(r: Risk): string[] {
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return {
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low: ["ai-bot"],
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medium: ["ai-bot", "@team-lead"],
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high: ["ai-bot", "@security", "@architect"],
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}[r];
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}
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```
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### Mutation-test gate
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```yaml
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- name: stryker
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run: npx stryker run --threshold.break 70
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```
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### Coverage delta comment
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```typescript
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const before = await coverage("main");
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const after = await coverage("HEAD");
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const delta = after.lines - before.lines;
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if (delta < -1) await gh.issues.createComment({
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...ctx, body: `⚠️ Coverage dropped ${delta.toFixed(1)}%`,
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});
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```
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### Auto-merge on green + AI ack
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```yaml
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- if: ${{ steps.ai-review.outputs.severity == 'none' && steps.tests.outcome == 'success' }}
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run: gh pr merge ${{ github.event.pull_request.number }} --squash --auto
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Solo / OSS | AI agent only, human spot-check |
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| Small team | AI gate + 1 human (rotating) |
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| Regulated (fin/health) | AI + 2 humans + audit log |
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| Hot path / migrations | Mandatory architect review |
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**기본값**: AI first-pass + 1 human reviewer + risk-tiered escalation.
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## 🔗 Graph
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- 부모: [[CI CD]]
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- 변형: [[Pair-Programming]] · [[Mob-Programming]]
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- 응용: [[Trunk-Based-Development]]
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- Adjacent: [[Static-Analysis]] · [[Mutation-Testing]]
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## 🤖 LLM 활용
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**언제**: 매 diff scan, security triage, coverage summary, prose explanation 의 PR description.
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**언제 X**: 매 architectural decision, API contract negotiation, domain-specific business rule — human 의 judgment.
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## ❌ 안티패턴
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- **AI rubber-stamp**: 매 agent approve = 매 human 의 skip. 매 critical path 의 review 누락.
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- **Comment flood**: agent 의 매 nitpick → noise. Severity threshold 의 setting.
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- **No risk tiering**: schema migration 매 typo fix 와 동급 review → bottleneck.
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- **Secrets in prompt**: diff 의 secret 의 leak. Pre-scan + redact.
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## 🧪 검증 / 중복
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- Verified (GitHub blog 2025, Anthropic Claude Code docs 2026, Google Eng Practices).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — AI-augmented PR review workflow with Claude Opus 4.7 patterns |
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