Ross ROSS = Recommend OSS · open-source software intelligence for agents

hahhforest/pi-textbook resource

《动手学 Pi》:沿 15 个真实 checkpoint 从零构建 Pi-style Agent observed · 2026-08-28

github.com/hahhforest/pi-textbook · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

55/100

  • Activity 94
  • Release rhythm 35
  • Longevity 3

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 43
  • days_rel: n/a
  • days_push: 41
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1267 stars · 76 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source Chinese-language textbook ('动手学 Pi' / Build Your Own Pi) that teaches agent engineering by building a Pi-style coding agent in TypeScript across 15 runnable checkpoints. Each chapter pairs textbook prose with real commits, focused tests, and fault-injection experiments along a single evolving codebase.

Use cases

  • learn how to build an LLM coding agent from scratch
  • understand agent loop and tool calling internals
  • study streaming model provider integration in TypeScript
  • learn session persistence and context compaction for agents
  • hands-on tutorial for building AI agents with real commits and tests
  • learn TypeScript event streaming and protocol design
  • understand how coding agents execute file and bash tools

When to choose

  • you want a structured, test-verified path to understanding agent internals rather than a finished product
  • you prefer learning by rebuilding a system incrementally with real git history
  • you read Chinese (or English) and want a D2L-style short feedback loop for agent engineering

When to avoid

  • you need a production-ready agent framework to use directly rather than a teaching codebase
  • you want a quick reference or source-code tour instead of a multi-week course
  • you need agent features beyond the teaching scope, such as built-in permission confirmation or cwd jail

Facets

learning-resource · maturity active

agent-framework llm-inference developer-tools testing large-language-models tutorials education developer-tools cli build-your-own agent-engineering chinese-language textbook checkpoints hands-on-learning coding-agent ai-agents typescript nodejs

3 sources

Member repositories

RepositoryRoleHealth v2
hahhforest/pi-textbookmain55

For agents

markdown · JSON · MCP: product_card(name="hahhforest/pi-textbook")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem