Autonomous Java Bug Repair Agent Model Card
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Autonomous Java Bug Repair Agent Model Card
| Field | Value |
|---|---|
| Repository | sola-st/repairagent |
| Category | Autonomous Java Bug Repair Agent |
| Stars / forks snapshot | 99 / 32 |
| Language | Python |
| License | MIT |
| Raw capture | raw-github/sola-st_repairagent.md |
| Updated by | hourly public metadata update, 2026-06-03 13:55 +0800 |
1. Role in Self Evolve
RepairAgent is an autonomous agent that fixes bugs in Java projects using LLMs through a localize-analyze-fix-test iteration loop. It matters because self-evolving agents need explicit feedback loops, observable retention mechanisms, and auditable evaluation pressure before improvement claims become useful.
2. Working Principle
read failing test -> localize bug -> analyze code -> generate patch -> run tests -> iterate until a correct fix survives validation
3. Evidence Path
web-observed GitHub page showed 99 stars, 32 forks, 82 commits, MIT license badge, an autonomous bug-repair loop over Defects4J, and a reported 164 correct fixes benchmark result. This iteration keeps freshness honest: the snapshot comes from the current public GitHub page, while shell GitHub API access remained blocked in this workspace.
4. Teaching Use
Use this card to explain Autonomous Java Bug Repair Agent: it shows how coding-agent, self-rewarding, optimization, or graph-runtime layers convert agent behavior into a reproducible engineering story.
5. Limits
The repository was not cloned in this iteration; no benchmark run, workflow execution, or training experiment was executed. Counts and claims are visible public-page signals unless independently revalidated later.