Senior SWE-Bench: open-source benchmark that assesses agents as senior engineers
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
The best frontier agent (Claude Opus 4.8) hits only 24% "tasteful solve" on these under-specified, senior-level tasks — failing over 75% of the time when solutions must pass hidden behavioral tests, respect unstated codebase conventions, avoid bloat (<2x), and touch ~11 files across services. If your agents handle vague natural-language tickets rather than over-specified tasks, expect them to produce runtime-correct-but-tasteless code that violates load-bearing conventions, so keep human review gating anything multi-file or cross-service.
Claude Opus 4.8 tops out at 24% pass@1 on Senior SWE-Bench, meaning frontier coding agents still fail senior-level, under-specified repo tasks more than 75% of the time. For production agent teams, this is a stronger signal than junior-style coding benchmarks: expect heavy orchestration, verification, runtime debugging support, and human review for multi-service feature work rather than trusting single-shot autonomous implementation.