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Compound Learning Loop. 跨 sprint 积累的经验、模式、约束沉淀到 lessons.md, 后续 sprint 自动加载.
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Based on SOC occupation classification
| name | compound |
| description | Compound Learning Loop. 跨 sprint 积累的经验、模式、约束沉淀到 lessons.md, 后续 sprint 自动加载. |
| effort | medium |
Compound Learning Loop = 每次 polish / review 完成后, 把"做对的 pattern + 踩的坑 + 硬约束"沉淀到 .ai_state/lessons.md. 下一个 sprint 进入 plan stage 时, 主 agent 必须 read lessons.md 一次, 防止重复犯错.
| 时机 | 触发 | 写入什么 |
|---|---|---|
| review_pass1 完成 | evaluator 写 VERDICT 时 | 1 行 pattern (做对了什么) |
| polish 完成 | cleanup-pass.md 写完时 | 1 行 pitfall (踩了什么坑) |
用户显式 /compound add | 用户主动 | 任意经验 |
| reviewer 发现新 P0 finding | findings 写完时 | constraint (硬约束) |
# Project Lessons
## [2026-05-23 sprint-2] Refactor JWT module
- Pattern: 用 RS256 instead of HS256 for stateless verification across services [executed]
- Pitfall: useEffect deps 漏掉 user.id 导致重渲染 inf loop [inspected]
- Constraint: 任何 JWT secret 改动必须更新所有 microservice 同时部署 [executed]
## [2026-05-22 sprint-1] Initial setup
- Pattern: TDD 严格执行后, refactor 阶段省了 40% 时间 [executed]
.ai_state/lessons.md (强制, 不允许跳)lessons-2026-Q1.md), 主 lessons.md 只留最近 3 个 sprint[executed] / [inspected] / [deferred])