Using AI for software testing anyone

Wondering if anyone here has experimented with fine-tuning models for generating software test cases, API scenarios, or test data.

Tools like Apidog and Testim do some of this out-of-the-box, but I’m curious about open-source approaches using Transformers or instruction-tuned models.

What datasets or training methods worked best for structured outputs (like OpenAPI-based test cases or BDD scenarios)?

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Some existing resources for now.