Studying how codebases actually behave.
We build tools and run analyses at the intersection of software complexity, codebase health, and AI-generated code. This org is where that work lives in the open.
Last updated: 2026-03-04 · Full dataset coming soon
| Repository | Highest Risk File | LRS |
|---|---|---|
| tldraw/tldraw | editor/Editor.ts |
19.3 |
| FlowiseAI/Flowise | OpenAIAssistant/OpenAIAssistant.ts |
21.2 |
| TanStack/query | src/createPersister.ts |
16.8 |
| OpenCut-app/OpenCut | timeline/use-timeline-drag-drop.ts |
16.6 |
| eslint/eslint | js/css-vars-ponyfill@2.js |
26.8 |
| Area | Description |
|---|---|
| Structural complexity | Measuring and mapping risk in real codebases at file and function level |
| AI-generated code | How Copilot, Claude, and coding agents change codebase structure over time |
| OSS health over time | Longitudinal complexity drift in major open source projects |
| Agentic codebases | What happens to a codebase when agents write most of it |
hall-of-fame/— Legendary gnarly functions from OSS history, analyzedai-code-studies/— Research into AI-generated code patterns and failure casesopen-source-breakdowns/— Per-repo complexity analyses with risk maps (coming soon)code-complexity-dataset/— Open dataset of OSS complexity metrics by quarter (coming soon)
Everything here is generated by Hotspots — a static analysis engine that finds the highest-risk files in any codebase before they become incidents.
macOS
brew install Stephen-Collins-tech/tap/hotspotsLinux
curl -fsSL https://raw.githubusercontent.com/Stephen-Collins-tech/hotspots/main/install.sh | shhotspots.dev · Blog · GitHub