AIQA - The fully autonomous AI QA engineer. It turns natural language into test cases, self-heals when your UI changes, explores your app like a real user to catch hidden bugs, and runs automated test suites on schedule. All with zero maintenance.

I built AIQA because I was tired of fighting flaky tests and spending hours maintaining QA workflows. Every time I shipped a new UI, tests would break not because the product broke, but because the selectors changed or some other minor thing threw off the automation. I tried every “AI QA” tool I could find. They all promised autonomous testing, but none of them worked when it mattered. Either they were too rigid or too magical, no real way to intervene when the agent got it wrong. That’s why we built AIQA to feel like a real engineer on your team. It: - Converts natural language into test cases - Self-heals when the UI changes - Explores like a real user to find edge cases - Lets you take over with full manual control when needed It’s agent-first, but human-aligned by default. That balance is what the other tools missed and it’s the reason we built this from scratch. Excited to see what you break with it 💥

l’ve been trying to reduce QA overhead on a tight dev team and this feels like it fits our situation perfectly. If it truly needs zero ongoing babysitting, I’ll probably end up using it on multiple projects.

🤖 "Human QA engineers might need to update their resumes after this..." 🤖

AIQA is a game-changer—autonomous test case generation, self-healing tests, and hidden bug detection? This is next-level.

Devs & QA folks, let's discuss:

- Will autonomous QA replace manual testing jobs, or just augment them?

- How would you trust AI-caught bugs vs. human-found ones?

- Biggest pain point in testing you wish AIQA could solve?

Drop your hot takes below! 🔥 #FutureOfTesting #AITakeover

AI QA

Fully autonomous AI QA engineer

Fully autonomous AI QA engineer

AI QA

Fully autonomous AI QA engineer

Fully autonomous AI QA engineer

Do you use AI QA?

Do you use AI QA?