https://www.infoq.com InfoQ Testing feed https://www.infoq.com/news/2026/04/meta-jit-testing-ai-detection/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Testing <img src="https://res.infoq.com/news/2026/04/meta-jit-testing-ai-detection/en/headerimage/generatedHeaderImage-1776178648278.jpg"/><p>Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments.</p> <i>By Leela Kumili</i> Code Reviews Agents Test Automation Testing Large language models AI Assisted Coding Automation Automated testing Software Testing AI, ML & Data Engineering Development Architecture & Design news Fri, 17 Apr 2026 14:49:00 GMT https://www.infoq.com/news/2026/04/meta-jit-testing-ai-detection/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Testing Leela Kumili 2026-04-17T14:49:00Z /news/2026/04/meta-jit-testing-ai-detection/en