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)→
More from coding & agent
- 'My intelligence stack': developer splits AI coding work across Opus 5.5, Fable and Astra with human review gates — sh_reya · 2026-10-27
- Baseten webinar: evaluate open models for coding agents by benchmarking on your own merged PRs — baseten · 2026-10-27
- Thorsten Ball on working with agents: run more evals, automate everything, use the best models — omarsar0 · 2026-10-27
- Where to draw the approval line for scheduled agent jobs — Reddit discussion — MemStrata · 2026-10-27
- 4 MCP servers worth a look: full-text YouTube search, Chrome session reuse, Framer editing — Prior_Engineering486 · 2026-10-27
- DeepMind paper: LLMs can't sample randomly on their own — pass random numbers from code instead — rohanpaul_ai · 2026-10-27