Repowise · Codebase intelligence
n1ck99925 / lorespring
Long-form story generation using collaborative AI agents. Maintains character consistency and plot coherence across chapters through vector memory and persistent state tracking.
Does the health score find the bugs?
Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 7 (35%) actually needed a bug fix in the last 6 months — 5.0× better than picking files at random.
Languages
- python64.6%
- typescript22.2%
- json6.1%
- dockerfile2.0%
- markdown2.0%
- yaml1.0%
- shell
Key modules1
- typescript
frontend
frontend
Code health
Full report- Code health79
How n1ck99925/lorespring works
Long-form story generation using collaborative AI agents. Maintains character consistency and plot coherence across chapters through vector memory and persistent state tracking. This page is an auto-generated, always-fresh map of the n1ck99925/lorespring repository, written primarily in Python. 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 99 source files, 197 symbols, and 8 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 38 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.