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Rohan Paul@rohanpaul_ai
Title: "Catching Developers in the Flow: Low-Latency Agentic Program Repair at Google Scale"
Google paper shows that an AI agent can fix failing tests across Google, and speed decides whether developers use the fix.
Tests that fail in CI ( continuous integration) before merge pull developers out of their flow, and existing repair agents mostly work offline after merge.
They built FlowAgent, which catches each test failure and runs an agent that edits, builds, and reruns tests until they pass. Verified fixes appear in code review with a short note on the root cause.
Experts judged 67.18% of its fixes correct on 195 real failures, and developers applied 28,554 fixes in production. Its median run took 9.85 minutes, versus a 27.48-minute median before developers start editing, yet many fixes still arrived too late.
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