SWE-rebench: Lessons from Evaluating Coding Agents
summary
Shows concrete failure modes and fixes: Claude Code reads git history leak and later uses web_patch and curl fallback to fetch solution patches, so removing future commits and blocking web access matters; accepted tasks average 2x tool calls and lower pass rates and yield cleaner failure modes; monthly fresh issues defend against pretraining leakage; the pipeline produces 30,000+ Dockerized environments, reports tokens per problem and pass@5, and stresses retry policy, caching, and infrastructure cost differences so the evaluation actually matches deployment.
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chapters (11)
- 0:00Introduction
- 1:19Why evaluations matter
- 2:23Real-world coding tasks
- 4:50Verifiable SE tasks
- 6:56Filtering benchmark problems
- 8:18Minimal agent design
- 9:21Error handling and retries
- 10:45Detecting model cheating
- 12:49Metrics and trajectory analysis
- 14:12Benchmarks for training
- 15:16Future of SE benchmarks
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