Popular coding benchmarks heavily overrepresent feature work and bug fixing
heypearlai · x · 2026-07-24
A breakdown of tasks across popular coding benchmarks
The image classifies tasks in major coding benchmarks into categories such as feature implementation, bug fixing, algorithm implementation from spec, legacy porting, performance optimization, codebase QA, refactoring, ML/data pipelines, security audit, and environment/build/Ops.
Key takeaways
- Feature implementation is the largest bucket at 30.0%.
- Bug fixing follows at 28.5%.
- Algorithm implementation from spec accounts for 13.0%.
- Legacy porting & reverse engineering is still a meaningful slice at 9.3%.
- Smaller categories include performance optimization, codebase QA, refactoring, ML/data pipelines, security audits, build/Ops, and reference-data maintenance.
The chart also shows which benchmarks contribute most to each category, with SWE-Bench Pro, KernelBench, DeepSWE, LiveBench, SciCode, and MLS-Bench appearing repeatedly.
Related event: Mainstream Coding Benchmarks Lack Task Diversity, Terminal-Bench Excels(3 posts)→
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