QA Tech
Improve your software quality with AI-driven QA testing. Find out how to ensure bug-free apps, with instant feedback and better productivity.
A startup from Sweden, founded by Daniel Mauno Pettersson, Patrick Lef, Vilhelm von Ehrenheim.
Improve your software quality with AI-driven QA testing. Find out how to ensure bug-free apps, with instant feedback and better productivity.
A startup from Sweden, founded by Daniel Mauno Pettersson, Patrick Lef, Vilhelm von Ehrenheim.
This page is designed to help you find out whether QA Tech is good and if it is the right choice for you.
QA.tech is an AI-powered tool for QA testing, empowering engineers to be more productive by autonomous testing of applications. No more waiting for feedback from your QA team or stakeholders. Get instant feedback on your work, with less bugs, improved quality and faster time-to-market.
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Automatic Test Detection
The AI scans your web app, and generates tests based on user interactions and objectives.
Create Custom Tests
Start with a simple prompt, and the AI will generate custom tests. Giving you a real working E2E test in just a few seconds.
Bug Reports
Receive detailed bug reports with console logs, network requests, and more. Replay tests and export issues to tools like Linear, Jira, or Clickup.
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QA.tech leverages AI to blend the expertise of QA engineers with the efficiency of automated testing, streamlining time-to-market, reducing expenses, and enhancing user satisfaction. By simulating human testing at automated speeds, we offer a comprehensive repository of best practices and usage patterns. Our services encompass identifying release-blocking issues and recommending code fixes and improvements of identified issues.
QA.tech emerged from the recognition that traditional QA testing, while essential, is often perceived as time-consuming and monotonous. Developers prefer focusing on product development rather than writing and maintaining tests. To address this challenge, QA.tech was founded with the mission of automating QA testing using AI technology, freeing up developers' time and reducing errors. Backed by a $1 million pre-seed funding round, QA.tech aims to revolutionize software testing by combining the efficiency of end-to-end tests with the precision of manual testing. The founding team, comprising entrepreneurs and engineers with vast experience in technology and entrepreneurship, is dedicated to making QA testing more efficient and accessible for businesses across the globe.
The primary audience for QA.tech includes software developers, CTOs, QA engineers at companies which provide a website application and are looking to streamline their quality assurance processes. These professionals are seeking efficient and effective solutions to automate testing, reduce errors, and accelerate time-to-market for their software products. Additionally, QA.tech may also appeal to product managers and other stakeholders responsible for overseeing software development projects and ensuring product quality.
We have collected here some useful links to help you find out if QA Tech is good.
Check the traffic stats of QA Tech on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of QA Tech on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of QA Tech's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of QA Tech on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about QA Tech on Reddit. This can help you find out how popualr the product is and what people think about it.
A repair layer reaches for another locator, while an agent reasons about the journey again and figures out what to do next. If every answer circles back to finding a replacement selector, you're looking at a patch. (For a more detailed taxonomy, QA.tech's testing pyramid for the agentic age and its Selenium-to-agentic migration guide are both useful digests.). - Source: dev.to / about 1 month ago
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Is QA Tech good? This is an informative page that will help you find out. Moreover, you can review and discuss QA Tech here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
