Engineer’s Codex details Meta’s use of Large Language Models (LLMs) in software engineering, particularly in automated test generation. The paper showcases how LLMs integrated into the development process provide correct and impactful software improvements, aiding in large-scale deployment. TestGen-LLM, an Assured LLMSE approach, uses multiple LLMs to enhance existing tests effectively. The filtering process ensures generated tests improve coverage and execution reliability, shedding light on the potential of AI in software testing. Notably, one test case covered 1326 lines, highlighting the importance of catching edge cases efficiently. As Big Tech harnesses AI for development, the implications of LLMs on software complexity and reliability remain a key focus for the future.
https://read.engineerscodex.com/p/metas-new-llm-based-test-generator