Repowise · Codebase intelligence
lakshya-dharwal / snipgen
CRISPR guide RNA design platform — ML scoring trained on 5,310 real Azimuth screen guides, CRISPOR off-target integration, ClinVar annotation, cloning primer auto-generation. No login required.
Does the health score find the bugs?
Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 4 (20%) actually needed a bug fix in the last 6 months — 2.4× better than picking files at random.
Code health
Full report- Code health80
- Dead code89
- Hotspot density97
- Bus factor0
How lakshya-dharwal/snipgen works
CRISPR guide RNA design platform — ML scoring trained on 5,310 real Azimuth screen guides, CRISPOR off-target integration, ClinVar annotation, cloning primer auto-generation. No login required. This page is an auto-generated, always-fresh map of the lakshya-dharwal/snipgen 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 61 source files, 388 symbols, and 5 languages. Git churn analysis flags 1 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 21 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.