Pigou Wu / AI + Education

Pigou Wu

推进中低优先级education-platform

PGW BuildingAI

教育垂类 AI 平台方向的 BuildingAI 改造实验。

Progress
92%
进度92%
updated / 2026-06-28
Signal Brief
Push
State

正在推进 / 高完成度。

Risk

no code insight

Next

wiki gap / No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.

Verdict
Push

strong signal

Recent
  • GitHub / 2026-02-15 / PIGU-PPPgu/pgw-buildingai
  • wiki / 今天 / 3028 files
  • stack / Taro / WeChat Mini Program
Source
source
local signals
progress
92%
health
65
open tasks
0
repo pushed
2026-02-15
wiki snapshot
2026-06-27
Goals
3
  • 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
Next
2
  • 01Generate LLM code insights for the most important source files.
  • 02Add one approved public screenshot or product surface image.
Links
1
Health
watch
health score
65
product92

AI progress / project progress

momentum42

updates / doing / logs / open tasks

clarity48

README / media / wiki / code

evidence48

shipped / snapshot / media / confidence

risk93

waiting / stale / AI risks

Watch
  • no code insight
  • no public media
Priority
algorithm / sync-worker-priority-signal-engine / medium
Now
低优先级
AI
低优先级
Score
39

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。

generated / 2026-06-28
urgency0/100

Open P0/P1 tasks and active doing items.

momentum10/100

Recent repository pushes, project updates, and log activity.

strategic_fit38/100

Current lifecycle state plus Pigou OS/workflow/life-state relevance.

maturity_or_impact42/100

Progress, shipped/use signals, screenshots, and repository scale.

staleness_penalty0/100

Paused, archived, or stale projects should cool down unless other signals are strong.

依据 / 6
  • 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
Progress AI
algorithm / sync-worker-signal-engine / medium

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.

generated / 2026-06-28
product_readiness16/25

Project status, launch wording, and product surface signals.

technical_completeness20/20

Repository file count, framework, entrypoint, module, and code insight signals.

usage_validation4/25

Launch/use wording, screenshots, and visible product proof.

documentation_knowledge6/15

Project notes, README summary, and wiki/code insight completeness.

momentum2/15

Recent push, linked work items, and project log activity.

Evidence / 3
  • repo files: 3028
  • last push: 2026-02-15
  • frameworks: Taro / WeChat Mini Program
Risk / 1
  • No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
Next / 2
  • Generate LLM code insights for the most important source files.
  • Add one approved public screenshot or product surface image.
DeepWiki
高置信indexed
Purpose

<p align="center" <a href="https://www.buildingai.cc/" target="blank"<img src="./assets/banner.png" width="100%" alt="BuildingAI Banner" /</a </p

Structure

Taro / WeChat Mini Program project with 3028 indexed file(s).

Entry

extensions/buildingai-simple-blog/package.json

Next scan
  • 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.
Facts
  • 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
Repo
3028
files
1
frameworks
Taro / WeChat Mini Program
Next
  1. 1Generate per-file summaries for important source files.
  2. 2Connect modules to project goals and next actions.
  3. 3Detect stale README sections by comparing code signals with project description.
  4. 4Persist historical wiki snapshots to show architecture drift.
Modules

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/

Key files
extensions/buildingai-simple-blog/package.jsonNode package manifest
pnpm-workspace.yamlWorkspace layout
README.mdHuman project explanation
docker-compose.ymlLocal infrastructure
结构图谱
drag canvas / zoom / click expand
Gaps
  • No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
Relations
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