Programming

Resource leaks, where resources like files, database connections, or streams aren’t properly released after use, are a persistent issue in Java applications. These leaks can lead to performance degradation, and system failures. While tools like SonarSource SonarQube™ effectively identify such leaks, the fixing process remains manual, time-consuming, and prone to errors. To address this, we developed FixrLeak, a generative AI-based framework that automates the detection and repair of resource leaks. FixrLeak combines Abstract Syntax Tree (AST) analysis with generative AI (GenAI) to produce accurate, idiomatic fixes while following Java best practices like try-with-resources. Deployed within Uber’s extensive Java codebase, FixrLeak significantly reduces manual effort, improves developer productivity, and improves code quality, showcasing the transformative potential of AI-driven solutions in large-scale software engineering.