QA.tech uses AI agents to replicate human QA testers, scanning web apps to understand functionality and generate complete test suites. Tests can be run automatically on every release, on a schedule, or manually, ensuring scalable and reliable quality assurance
The community submitted 7 reviews to tell
us what they like about QA.tech, what QA.tech can do better, and
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4.3
Based on 7 reviews
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Reviews praise QA.tech for quickly mapping app workflows, generating useful test suites, and catching bugs that traditional scripts miss. Users highlight intuitive setup, live agent interactions that ease fine-tuning, and faster regression cycles that help teams ship with confidence. Several note dependable coverage and clear bug reports. Critiques focus on performance lag and onboarding friction, with one serious callout about plaintext password exposure that needs urgent remediation. Overall sentiment is strongly positive, especially for startups and fast-moving teams, provided security and speed improve.
QA.tech seems like a great tool to reduce manual testing efforts, simplify repetitive testing, and provide a one-stop solution for both automation and manual testing. Its continuous testing capabilities can help identify production bugs faster and more efficiently. Adding integrations with tools would make it even more powerful.
Hi Adil!
Thanks for the nice words! We are adding integrations continously based on customer feedback and support some simpler ones for now like GH actions, Slack, Linear etc. Are there any specific integrations you would like to see in the product?
We signed up on QA.tech in August earlier this year and felt that they made it really intuitive to start building out automated tests! I have been following QA.tech's journey for a while now, I think they're onto something!
This is quite a promising product, I am using it to test a product we built last year and couple of mins in, I am already quite impressed and I can see myself using it in testing future products.
Feedback:
I noticed a serious security concern — it seems that users’ passwords are being stored in plain text. After signing up, I tried to QA one of my products, and your AI chat rendered a login screen showing my username and password, presumably because it needed access to the product I was testing.
This is a major security issue and should be addressed immediately. Passwords should never be stored or exposed in plain text under any circumstance.
AI agents (transformer LLMs) use plain text indeed, so it makes sense you've seen your credential exposed. We recommend our users create dedicated accounts for AI agents or hide their dev/staging under SSH tunnels: https://docs.qa.tech/core-concepts/configs
But ideally you're right, we should make a way for our AI agent to use credentials in a more secure way.
Thanks for checking us out and thanks for the feedback! We will make sure to make it clearer that no sensitive users or passwords should be used as config for your test cases.
The thing is that it's really hard to keep the password safe as there's network logs, console logs, browser states, and LLM calls involved so we have chosen to store and show as plain text to be transparent about that no sensitive configs should be added.
I started using QA.tech for the regression testing of my AI chat app and was so surprised QA.tech AI was able to chat to my app's AI characters to verify my app worked. Long story short, i joined QA.tech as an employee straight into the PH launch 🌞
So now when you start using QA.tech - I'll help you adopt QA.tech's agentic AI for your products. Cannot be happier!
Hope you all find it as useful and life-changing as i did
What's great
professional team (1)excellent customer support (1)automation features (1)AI automation (2)
QA.tech