A few task types dominate popular coding benchmarks by a wide margin
zainhas · x · 2026-07-24
Coding benchmarks are dominated by a few task types
The table breaks popular coding benchmarks into task categories and shows how concentrated they are:
- Feature implementation: 668 tasks, 30.0%
- Bug fixing: 635 tasks, 28.5%
- Algorithm implementation from spec: 290 tasks, 13.0%
- Legacy porting & reverse engineering: 208 tasks, 9.3%
- Performance optimization: 144 tasks, 6.5%
- Codebase comprehension & QA: 119 tasks, 5.3%
- Smaller slices cover refactoring, ML/data pipelines, security audit/forensics, environment/build/Ops, and reference-data maintenance.
It also highlights the benchmarks most associated with each category, such as SWE-Bench Pro, KernelBench, DeepSWE, LiveBench, SciCode, MLS-Bench, ProgramBench, SWE Atlas, and Terminal-Bench.
Related event: Mainstream Coding Benchmarks Lack Task Diversity, Terminal-Bench Excels(3 posts)→
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