Categories USA News

Apple’s research explains how AI can identify bugs in code and generate QE tests

New papers on Apple’s machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as well as for bug fixing and identification.

A glowing, colorful, intertwined ribbon pattern surrounds a metallic apple logo on a black background.
Apple’s new studies explain how AI can be used to streamline QE workflows.

In October 2025, Apple published three new studies related to artificial intelligence and the possible applications of LLMs. The company’s research work goes back many years, but some of its latest papers have concentrated on the flaws of AI, and how to prevent unwanted AI actions and hallucinations.

Now, one of its new studies explains how autonomous AI agents can be used for Quality Engineering (QE) tests, among other things. Its other two research papers focus on how AI agents can be used to fix and predict bugs in code after appropriate training.

Continue Reading on AppleInsider | Discuss on our Forums

More From Author

You May Also Like

Meet Aardvark, OpenAI’s security agent for code analysis and patching

OpenAI has introduced Aardvark, a GPT-5-powered autonomous security researcher agent now available in private beta.…

Why IT leaders should pay attention to Canva’s ‘imagination era’ strategy

The rise of AI marks a critical shift away from decades defined by information-chasing and…

Meta researchers open the LLM black box to repair flawed AI reasoning

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that…