A recent arXiv paper, “Catching Developers in the Flow: Low-Latency Agentic Program Repair at Google Scale,” addresses the burden of fixing program failures before code is submitted. The authors note that manual repair is especially disruptive when test failures occur inside continuous integration systems, interrupting developers during the pre-submit phase.
The paper introduces an automated program repair approach designed to operate at low latency and at Google’s scale. While the abstract does not detail the system’s architecture, the emphasis is on catching failures early and reducing the time developers spend on manual fixes.
Because only the abstract is available, the exact mechanisms and evaluation results are not described. The work signals a continued push toward integrating agentic repair directly into developer workflows, rather than treating it as a post-hoc analysis step.