The hard part of AI test generation was never the generation 😬

If you use ChatGPT or Claude to write test cases, the AI does the 30 second part. You do the 10-day part: copy into Confluence or Excel, reformat, tag, share. And the output is always a little off, because a chat window only sees what you paste. It doesn't know your payment flow depends on a Stripe webhook, or that onboarding was redesigned last sprint.

The difference isn't generation. It's connection.

The Text2Test MCP server connects to your whole stack (Jira, Figma, OpenAPI, GitHub), builds a context graph, and generates test cases with coverage awareness, then stores and versions them automatically. That's how you catch the edge cases manual prompting misses, the ones that crash demos.

Text2Test is now self-serve, 30% off all plans for 6 months with code PRODUCTHUNT30.

When you use AI to write tests, how much of your week goes to the wrapping versus the actual generation?