Why AI-Generated Test Cases Keep Changing Between Runs

AI-generated test cases can vary between runs, producing different edge-case scenarios from the same prompt and highlighting the need for human-verified specifications to ensure consistent, repeatable software testing.

Prompt-to-test AI tools are fast. They are also not repeatable, and that’s a bigger problem than it sounds. TL;DR Two engineers on the same team, on the same day, ask the same AI test generation tool to write tests for the same login flow. Same application, same prompt, same tool version. They get different test […]

Your Developers Are Shipping Faster. Your Tests Are Not Keeping Up.

Software development teams are shipping code faster while test coverage lags behind, creating a growing gap between code delivery and quality assurance.

The AI coding tools worked. The velocity gap they created is now the bottleneck. TL;DR A team merges 40 pull requests in a two-week sprint. Six months ago, that same team merged 12. The difference is not more engineers. It is Copilot drafting the boilerplate, Cursor refactoring across files in one pass, and pull requests […]