TESTING AT THE SPEED OF AI? HERE'S YOUR ROADMAP.

AI can spin up an entire feature in seconds. But who ensures that feature won't crash in production?

And when your CI pipeline is full of flaky tests, how do you trust your releases? If you're a developer or QA engineer trying to keep up with both AI-generated code and the pressure for faster releases, you know the problem: testing is indispensable, but traditional approaches break under speed.

The solution isn't just more tests—it's a smarter, systematic testing strategy designed for an AI-augmented world. Introducing the Software Testing with AI series by Ellis Carver—two practical volumes that take you from requirements to continuous quality, with AI as a pragmatic assistant, not a magic bullet.

📌 Volume 1: From Requirements to Reliable Software 👉 Covers a complete testing workflow: from extracting testable requirements to executing functional, integration, and non-functional tests. 👉 Shows how to use AI for test generation, data fabrication, and bug analysis, while keeping human judgment at the center.

👉 Includes real-world checklists and templates—test strategy, bug reports, release readiness. 👉 Perfect for junior to mid-level QA engineers and developers adding testing to their skills.

📌 Volume 2: Automated Testing,...