code-evaluation

CursorBench 3.1 introduces new benchmark tasks focused on codebase understanding, bugfinding, planning, and code review, and presents updated scores and cost comparisons for various AI models.

CodeAlchemy is a synthetic data generation framework that transforms publicly available code into semantically rich training data using five strategies, producing over 500 billion tokens and enabling small models to outperform much larger ones on code benchmarks.