lee-to/ai-factory
Repowise · Codebase intelligence
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.
Languages
- markdown49.6%
- yaml19.9%
- typescript9.4%
- shell7.8%
- toml4.7%
- json4.3%
- javascript2.0%
- python1.6%
Explore lee-to/ai-factory
Files, symbols, languages, packages, git intelligence
Interactive view of how files import each other
Files with the most churn and co-change risk
Bus-factor and per-file maintainer maps
Architectural decisions extracted from commits and PRs
Unreachable symbols and unused exports
Module-by-module documentation generated from source
Ask grounded questions over the indexed code
Entry points1
src/cli/index.ts
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, 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. Git churn analysis flags 13 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 208 tightly-coupled module communities.
Use the panels 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.