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

devenjarvis/lathe

Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋ observed · 2026-08-28

github.com/devenjarvis/lathe · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 95
  • Release rhythm 93
  • Longevity 8

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 122
  • days_rel: 44
  • days_push: 31
  • n_releases_24m: 6

Full methodology

Adoption not part of the score

1653 stars · 46 forks observed · 2026-08-28

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

Lathe is a Go CLI plus local web UI that generates hands-on, multi-part technical tutorials on demand using LLM skills run inside coding agents like Claude Code or Cursor. It stores, manages, and serves the tutorials in a purpose-built reading interface, encouraging you to work through them yourself by hand.

Use cases

  • generate a hands-on tutorial on any technical topic on demand
  • create a multi-part tutorial series with an LLM coding agent
  • read and work through tutorials in a local learning UI
  • ask questions about a tutorial or have the LLM verify it
  • extend an existing tutorial with an additional part
  • search and manage a personal library of generated tutorials

When to choose

  • you want LLM-generated, approachable technical tutorials you complete yourself rather than having AI write code for you
  • you already use a coding agent like Claude Code, Cursor, or Codex and want a tutorial workflow on top of it
  • you prefer a self-contained local binary with a pleasant reading UI and no cloud service

When to avoid

  • you need fully automated course generation without an interactive coding agent session
  • you want a hosted, multi-user learning platform with accounts and progress tracking
  • you need offline tutorial generation - the LLM work runs in your agent, not the binary

Facets

cli-tool · maturity active

llm-inference prompt-engineering documentation cli http-server education developer-tools large-language-models documentation cli cross-platform windows llm-skills coding-agents tutorial-generator learning-tool local-web-ui go education command-line macos linux web-server

1 source

Member repositories

RepositoryRoleHealth v2
devenjarvis/lathemain77

For agents

markdown · JSON · MCP: product_card(name="devenjarvis/lathe")

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