Safely Repairing Broken Builds with Machine Learning

Google's research demonstrates that a machine‑learning model trained on build logs and code snapshots can automatically suggest safe, high‑quality fixes for broken builds, boosting developer productivity by about two percent without introducing detectable security risks.

Build AutomationML-assisted debuggingcode safety

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Safely Repairing Broken Builds with Machine Learning