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lee-to / ai-factory

You want to build with AI, but setting up the right context, prompts, and workflows takes time. AI Factory handles all of that so you can focus on what matters — shipping quality code.

Shell913github.com/lee-to/ai-factory
Indexed at9618083·2mo ago·Up to date with upstream
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Code health

3.9out of 10Needs work

lee-to/ai-factory scores 3.9 out of 10 on defect risk, which Repowise rates Needs work. 13 of 256 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk3.9/10 · Needs work
Files
256
Symbols
543
Modules
75
Doc pages
0
Dead exports
45

Where the risk concentrates

All 13 hotspots

Ranked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.

FileChurnPrior fixesMaintainersCommits 90d
test-skills.shscripts96.4th %ile23534
test-init.shscripts89.1th %ile18430
installer.tssrc/core98.2th %ile

Read more about lee-to/ai-factory

  • OverviewFiles, symbols, languages, packages, git intelligence
  • ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
  • Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
  • AI docsProModule-by-module documentation generated from source

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Average health across every file, straight from the latest index.

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How lee-to/ai-factory works

You want to build with AI, but setting up the right context, prompts, and workflows takes time. AI Factory handles all of that so you can focus on what matters — shipping quality code. This page is an auto-generated, always-fresh map of the lee-to/ai-factory repository, written primarily in Shell. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 256 source files, 543 symbols, and 9 languages, organised into 75 modules, led by markdown, yaml, typescript. Static analysis leaves 273 open findings across the three health dimensions.

Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.

13
5
19
extensions.tssrc/core92.7th %ile12514
cleanup-blocked-skill.pyskills/aif-skill-generator/scripts90.9th %ile92bus factor 111
test-cleanup-helper.shscripts94.5th %ile71bus factor 18
  • CommitsChange-risk ranked history with AI-agent provenance and hotspots
  • ContributorsBus-factor, per-file maintainer maps, and human/agent collaboration
  • DecisionsArchitectural decisions extracted from commits and PRs
  • Chat with this repoSign inProAsk grounded questions over the indexed code