fbin243 / penk-backend
PenK Assistant is an AI-powered productivity copilot that helps manage habits, tasks, schedules and more in one place saving time, reducing stress, and boosting personal productivity.
Code health
fbin243/penk-backend scores 9.6 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.6 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number.
Full health report- Files
- 304
- Symbols
- 818
- Modules
- 48
- Doc pages
- 360
- Dead exports
- 22
Read more about fbin243/penk-backend
- 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 explanationsProModule-by-module documentation generated from source
Add a badge to your README
Both badges are public, cached, and update on their own after every index. Nothing to install.
Repowise badge
Links to this page. Adding it also re-indexes the repo every week.
[](https://repowise.dev/repo/fbin243/penk-backend)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/fbin243/penk-backend)How fbin243/penk-backend works
PenK Assistant is an AI-powered productivity copilot that helps manage habits, tasks, schedules and more in one place saving time, reducing stress, and boosting personal productivity. This page is an auto-generated, always-fresh map of the fbin243/penk-backend repository, written primarily in Go. 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 304 source files, 818 symbols, and 11 languages, organised into 48 modules, led by go, proto, graphql. Static analysis leaves 177 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.