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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分54

Google 论文介绍 FlowAgent:在代码审查前修复失败测试

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AI 导读

FlowAgent 在持续集成测试失败时运行代理,修改代码、构建并重跑测试,通过验证的修复会连同原因说明出现在代码审查中。在 195 个真实故障案例中,专家认为 67.18% 的修复正确;开发者已在生产环境应用 28,554 项修复,但不少修复仍送达过晚。

原帖引用 · 原文

@rohanpaul_ai

– https://t.co/KUlJ7DySZz

Title: "Catching Developers in the Flow: Low-Latency Agentic Program Repair at Google Scale"

回复Rohan Paul@rohanpaul_ai
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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来源:Rohan Paul · x.com

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