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Functional success in coding agents is misleading鈥攐ver 34% of patches that pass tests still fail to meet critical review constraints.
Critical tokens can make or break code generation, and ACToR ensures they receive the precise context needed to succeed.
PTA-IRT reveals that incorporating detailed problem-solving trajectories can dramatically enhance the evaluation accuracy of software engineering agents.
Design knowledge is the game-changer that boosts repository-level code generation, leading to a 9.55 percentage point improvement in performance over existing models.
LLMs can now generate more complete and up-to-date code documentation 3x faster while using 85% fewer tokens, thanks to a novel knowledge graph representation of code repositories.
