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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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QA Tech's answer:
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's answer:
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.
QA Tech's answer:
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.
Based on our record, Node.js seems to be more popular. It has been mentiond 906 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Before we start: Mailtrap MCP server is implemented as a Node.js command line utility, so please install the latest Node.js version alongside the freshest version of VS Code editor. - Source: dev.to / about 2 months ago
Check your project for a file named package.json. In most cases web apps use frameworks that rely on the Node.js ecosystem, in which case your project will have this file and you can learn how to run and build it from there. - Source: dev.to / 3 months ago
I start from the assumption, that you already have installed your PostgreSQL database and Node.js. There are already many tutorials to do this, so we will focus only on installing the IoT platform and connecting it with the database. - Source: dev.to / 3 months ago
Vite 7 requires Node 20.19+ or 22.12+. If you’re still on Node 18, it’s time for a (long overdue) upgrade. Trust us — you’ll barely miss it. - Source: dev.to / 3 months ago
Before getting started, make sure you have Node.js installed on your machine. - Source: dev.to / 3 months ago
VS Code - Build and debug modern web and cloud applications, by Microsoft
Webo.AI - Welcome to the world of Infinite AI testing
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
QA Wolf - QA Wolf gets web apps to 80% automated end-to-end test coverage in weeks, not years. With unlimited, parallel runs and our Zero Flake Guarantee.
Django - The Web framework for perfectionists with deadlines
Owlity.ai - The first and only AI QA solution to replace your QA department. Our autonomous testing software eliminates the need for human involvement.
