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.

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.

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