supercov: Layering structured judgment on coverage/test signals
You should be able to explain Supercov in four sentences: what enters the system, what Jev judges, what code executes, and what independently proves the job finished.
Use caseAdd one narrow, explicit decision to code or a workflow
layering structured judgment on coverage/test signals to flag gaps worth fixing
Source · supercorp-ai/supercov · Open-source project
What this project does
Section titled “What this project does”Public sources present this project for layering structured judgment on coverage/test signals to flag gaps worth fixing. This site has not reproduced the full project.
Sources
Section titled “Sources”
GitHub Open Graph preview for the supercorp-ai/supercov repository; a repository preview, not a screenshot of running software. Notes are based on its public source.
A useful first read
Section titled “A useful first read”Add one narrow, explicit decision to code or a workflow
Based on the public repository; this site has not reproduced the full project. Read the source before deciding whether to try it.