Key principles and insights on the software testing industry.
Are you considering Cypress or a similar open source code-based QA tool? Or perhaps looking for a codeless companion to round out coverage? We can help.
When engineering teams evaluate AI-powered QA tools, the same questions come up again and again. Some are rooted in genuine technical curiosity. Others stem from experiences with earlier-generation tools that earned a healthy dose of skepticism. After hundreds of these conversations, I’ve identified the seven most common misconceptions.
AI has officially entered every corner of software testing. The hard part now is figuring out which tools and features actually save time, speed releases, and (most importantly) improve quality outcomes. Here's what you need to know about AI software testing tools.
We highlight the top 5 UI testing tools and break down key factors for choosing the right service, like real UI interaction and deployment speed.
How to run an effective quality assurance process.
AI accelerates software development for finserv companies. But acceleration without strong QA increases risk For financial services organizations, it’s can't just be about faster releases. It must be about better, faster releases.
Rainforest QA and Mabl both promise to make testing easier, but they take fundamentally different approaches to get there. Mabl is a low-code platform built around DOM-based test recording and ML-driven maintenance. Rainforest believes AI should work with you — handling the busywork of test creation and upkeep while keeping humans in the loop where it matters.
If you want to move fast and feel confident in your releases, the way a QA tool applies AI matters more than the fact that it uses AI. Compare Rainforest QA and QA.tech.
Read Rainforest's comprehensive, practical guide to transparent AI in QA, including five questions to ask before choosing a QA platform.
Best practices for automating software testing.
In this comparison, we’re looking at AI-assisted automated testing tools for QA. These are platforms that use AI to speed up test creation, reduce maintenance, and improve signal when things change.
See how Rainforest uses generative AI for automated test creation and maintenance.
Learn how the top 9 AI testing tools use AI to accelerate the automated testing workflow.
Company and product news from Rainforest QA.
With AI Test Planner, Rainforest now does the heavy lifting of mapping potential coverage for you.
Our goal has always been to fix QA. With today’s release, we’re closer than anyone else to doing it. Tests in Rainforest now fix themselves, creating more reliable results while allowing your team to focus on what matters — shipping code.
Today, we’re launching our no-code QA platform with a free-forever plan, making software test automation accessible to any product contributor in any company.
Insights from the Rainforest QA engineering team.
Rainforest QA has a deep culture of experimentation and iteration. Recently, we decided to test out taking an idea from meeting transcript to production code. It took us 40 minutes. Here's how we did it.
How we built a custom web crawler to solve QA test planning. Learn about handling authentication, SPAs, interactive elements, and the unexpected challenges of crawling modern web applications.
It doesn’t matter if you’ve got a team of human QA testers or you’re using one of the many automated testing solutions out there, the truth is this: if you have poor data seeding your QA strategy is going to suffer tremendously.
How to use your data warehouse's built-in features to simplify and potentially improve your RAG pipeline.
Best practices for manually testing software.
