FAQs
Can I modify the generated test cases?
Absolutely. All AI-generated test cases are editable, so you can fine-tune them to fit your needs.
What data does TestingAIde fetch from JIRA?
Epics, user stories, and acceptance criteria are fetched to use in generating relevant test plans and test cases.
Do we support any other applications to ingest epics and user stories?
We also support Azure Board for fetching epics and use stories.
When should I rely on RAG versus fine-tuning for my use case?
If your knowledge is spread across PDFs, Confluence pages, or cloud docs, RAG gives you flexibility without retraining. Fine-tuning makes sense only when you have a curated, structured dataset and want the model to “learn” permanent domain patterns rather than retrieve them.
What makes synthetic test data generation more reliable than masking production data?
Synthetic data can simulate edge cases, rare anomalies, or scaled-up traffic without privacy risks. Unlike masked production data, it is safe, reproducible, and customizable to match specific test scenarios.
What kind of long-term insights can the Dashboard uncover that one-off test runs cannot?
The Dashboard highlights trends — recurring API failures, performance regressions, or increasing security debt — so teams can shift from reactive bug-fixing to proactive risk management.
More detailed FAQs can be found here