SOURCE-LINKED INTELLIGENCE
ExecCritic: Learn to Test, Test to Improve for Coding Agents
Execution feedback can guide coding agents toward correct repository repairs, but only when the tests capture the behavior requested by the issue. Agent-generated tests can encode incomplete or incorrect behavioral targets; when the same trajectory writes both the patch and the test, their errors can agree and create false confidence. We introduce ExecCritic, combining a test--verify--revise scaffold with a role-specific reinforcement learning recipe for training agents within it. The scaffold separates test construction from source-code repair: a Test agent independently generates repository-
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T17:53:37.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.