{"adoption": {"forks": 46, "observed_at": "2026-08-28T04:05:17.133632+00:00", "stars": 1653}, "canonical_url": "https://ross.abutalabs.com/products/lathe", "card": {"archived": false, "artifact_type": "cli-tool", "description": "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 ✋", "domain": ["education", "developer-tools", "large-language-models", "documentation"], "enriched": true, "function": ["llm-inference", "prompt-engineering", "documentation", "cli", "http-server"], "health_score": 97, "homepage": null, "language": "Go", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["devenjarvis/lathe"], "name": "devenjarvis/lathe", "platform": ["cli", "cross-platform", "windows"], "pushed_at": "2026-08-03T00:03:18+00:00", "repo": "devenjarvis/lathe", "stars": 1653, "tags": ["llm-skills", "coding-agents", "tutorial-generator", "learning-tool", "local-web-ui", "go", "education", "command-line", "macos", "linux", "web-server"], "topics": [], "urls": [], "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"], "what_it_is": "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.", "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"], "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"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/lathe", "repo": "devenjarvis/lathe", "role": "main", "score": 77}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:17.133632+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:44:57.843482+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7c4f68f3bda9f795c975cdd10bb95c48799728624b1338959c5e71300ad063a9", "fetched_at": "2026-08-28T04:05:17.133632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devenjarvis/lathe"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 95, "longevity": 8, "rhythm": 93}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["young"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 122, "days_push": 31, "days_rel": 44, "gap_med": 0, "n_releases_24m": 6}, "score": 77, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}