Pigou Wu
PGW BuildingAI
教育垂类 AI 平台方向的 BuildingAI 改造实验。
正在推进 / 高完成度。
no code insight
wiki gap / No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
strong signal
- GitHub / 2026-02-15 / PIGU-PPPgu/pgw-buildingai
- wiki / 今天 / 3028 files
- stack / Taro / WeChat Mini Program
- 1梳理教育 AI 平台能力
- 2验证应用搭建体验
- 3沉淀可迁移模块
- 01Generate LLM code insights for the most important source files.
- 02Add one approved public screenshot or product surface image.
AI progress / project progress
updates / doing / logs / open tasks
README / media / wiki / code
shipped / snapshot / media / confidence
waiting / stale / AI risks
- no code insight
- no public media
综合分 39/100,建议为 low。这个值来自任务紧急度、近期动量、战略相关性、成熟/影响证据和停滞惩罚;它只是候选建议,只有 apply 后才会改项目 priority。
Open P0/P1 tasks and active doing items.
Recent repository pushes, project updates, and log activity.
Current lifecycle state plus Pigou OS/workflow/life-state relevance.
Progress, shipped/use signals, screenshots, and repository scale.
Paused, archived, or stale projects should cool down unless other signals are strong.
- no open linked tasks
- repo files: 3028
- last push: 2026-02-15
- launch/use signal in project text
- strategic OS/workflow signal in project text
- progress evaluation: 92% building
GitHub sync processed; Pigou OS refreshed the project wiki, progress, status, and sync log signals from repository evidence.
The sync pipeline applied local repository, wiki, task, image, and log signals after refreshing GitHub data.
Project status, launch wording, and product surface signals.
Repository file count, framework, entrypoint, module, and code insight signals.
Launch/use wording, screenshots, and visible product proof.
Project notes, README summary, and wiki/code insight completeness.
Recent push, linked work items, and project log activity.
- repo files: 3028
- last push: 2026-02-15
- frameworks: Taro / WeChat Mini Program
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
<p align="center" <a href="https://www.buildingai.cc/" target="blank"<img src="./assets/banner.png" width="100%" alt="BuildingAI Banner" /</a </p
Taro / WeChat Mini Program project with 3028 indexed file(s).
extensions/buildingai-simple-blog/package.json
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
- Repository: PIGU-PPPgu/pgw-buildingai
- Default branch: master
- Indexed files: 3028
- Primary language: TypeScript
- Frameworks: Taro / WeChat Mini Program
- Last pushed: 2026-02-15
- Snapshot: 2026-06-27
- 1Generate per-file summaries for important source files.
- 2Connect modules to project goals and next actions.
- 3Detect stale README sections by comparing code signals with project description.
- 4Persist historical wiki snapshots to show architecture drift.
packages
高置信Shared package workspace: 1710 file(s) under packages/
scripts
高置信Automation scripts: 4 file(s) under scripts/
public
高置信Static assets: 689 file(s) under public/
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.