
QA.tech
QA.tech’s AI-driven platform provides fast E2E testing for your web application.
DevOpsTestingQA
Introduction
QA.tech uses AI to test your website or web application. The AI agent scans your web app, creates a detailed memory of its structure, and generates tests based on user interactions and objectives. The AI agent then continuously tests your web app as part of your development pipeline, simulating user behavior and adapting to changes. It identifies defects across a range of severities, ensuring that critical issues are detected early. You can also add your own custom tests, with a simple prompt, and the AI will figure out the rest. Provides developer-friendly bug reports with console logs, network requests, and more, with the possibility to replay tests and export issues to tools like Linear, Jira, or Clickup.
Key Features
Automatic Test Detection
Add Custom Tests
Edit Tests
Developer-friendly bug reports
Frequently Asked Questions
What is QA.tech?
How to use QA.tech?
Similar Tools

CloudKeeper Tuner
Optimize your AWS usage with CloudKeeper Tuner, the automated platform for recommendations and efficiency improvements. Start saving now!

nomi.cloud
An efficient resource management assistant using AI for CloudOps and HPC, maximizing operational efficiency.

Search AI Hub - Chrome Extension
Aggregator for AI and traditional search results
Use Cases
- Automate tests to release updates faster. Free up your developers from repetitive testing so they can focus on new code releases.
- Efficiently scale testing for complex web applications – handle an increasing test volume effortlessly as your application grows.
- Optimize end-to-end tests for critical user flows, ensuring they’re bug-free before each release.
- Reduce test maintenance by adapting to UI changes automatically. Avoid the hassle of updating test scripts with every UI change.
How to Use
The AI scans your web app, creates a detailed memory of its structure, and generates tests based on user interactions and objectives. You can add your own credentials and data, and new features are automatically detected. The AI agent then continuously tests your web app as part of your development pipeline, simulating user behavior and adapting to changes. It identifies defects across a range of severities, ensuring that critical issues are detected early.