Repository understanding
Evaluate navigation across files, long-context retrieval and correct interpretation of project-specific constraints.
AGENT USE CASE · SOURCE-FIRST
A useful coding agent must inspect a repository, produce applicable patches and pass tests under controlled permissions. A model's coding-oriented category alone cannot establish autonomous software-engineering performance.
Evaluate navigation across files, long-context retrieval and correct interpretation of project-specific constraints.
Track edit application, compile success, test coverage, regressions and recovery after failing tests.
Measure multi-turn use of shell, search and version-control tools only inside a disposable workspace with explicit permissions.
Compare actual sequence length, total interaction steps and memory pressure; weight-only GB values are not observed throughput.
These model records are included by catalog modality or category, not by a verified task-success benchmark. Follow their primary sources before testing.
COMMON QUESTIONS
No. The agent additionally needs a sandbox, file and test tools, state handling and an approval policy.
Patch correctness and regression tests matter more than an unsupported one-number claim of agent readiness.
READ THE ORIGINALS
REAL SOURCE EVIDENCE
Different benchmark versions are not comparable; no numbers below were independently reproduced by Open Model Weights.
Model metadata is source-linked; agent task success, tool-call reliability and production readiness require separate tests.
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