jit-a / jit-smart
Code health
This codebase scores 8.3 out of 10 for code health, which we rate good. It also scores maintainability 7.6 and static performance 9.3 out of 10. The three are scored separately and never blended into one number.
Do next
1 suggested
1 thing worth doing in the week to Feb 2, the last indexed commit, 1 of them now.
Now
- High
Clean up what this week's commits left: 15 serious findings in 10 files
1 commit in the last 7 days added or worsened them, and they are still open. Start with
JITFine/artificial/run.py.- serious findings
- 15
- critical
- 0
- files
- 10
Medium effort
Improve what Repowise can see
Add a test coverage report
Without one, Repowise cannot tell tested code from untested code, so every test-related action says “unknown”.
- line coverage
- Unknown, no report
Small effort
- Lines of code
- 6.7K
Recent activity
All commitsEverything we found
196 open
Every detector's open count by area, each with its worst example. An inventory, not a to-do list: the actions above are the part worth doing.
- worst item is medium severity. Code health110Nested complexity · baselines/CC2Vec/jit_padding.py5 findings · 3.3 deducted
- worst item is low severity. Refactoring14clean_and_reformat_code+0.3 health, S effort · baselines/CC2Vec/jit_padding.py
- worst item is medium severity. Decisions1Use commit-level semantic features and expert features to guide line-level prediction1 awaiting review
- worst item is medium severity. Ownership71JITFine/__init__.py100% single-owner concentration, 1 commits in 90d
Composition
Open the graph- python89%
- shell7%
- java4%
Explore this codebase
- Docs101 pages across 5 modules
- ChatAsk this codebase a question and get an answer with its sources.
- Files75 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 5 entry points
- Code healthPer-file scores, 110 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
- CostsWhat indexing this snapshot cost, by model and by run.