Category-Aware Training for Software Engineering Agents
September 19, 2026
This framework addresses uneven progress in software engineering agents by using category-specific RL and an evidence-grounded labeling system. It employs category experts and policy-adaptive task selection to prevent performance regressions in specific task domains during training.
HOW THIS AFFECTS YOU
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builderYou can stabilize the training of SWE agents to ensure improvements in one task type don't degrade another.
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researcherThis methodology tackles the heterogeneous nature of repository-level software engineering tasks.