via “multi-repository benchmark aggregation”
AI coding agent benchmark — real GitHub issues, end-to-end evaluation, the standard for code agents.
Unique: Curates a diverse set of 12 real, production-quality repositories rather than using a single large codebase or synthetic examples, forcing agents to adapt to different coding styles, architectural patterns, and dependency structures. Each repository represents a different domain (web frameworks, scientific computing, data processing, utilities).
vs others: More representative of real-world software engineering than single-repository benchmarks because agents must generalize across different codebases, and more realistic than synthetic benchmarks because it includes authentic complexity like legacy code, inconsistent naming, and architectural quirks.