Systems | Development | Analytics | API | Testing

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The top 9 AI testing tools (and what you should know)

Software and quality assurance teams use AI in all parts of the automated testing workflow. According to a survey of 625 software developers we ran, 81% teams use AI tooling in their testing workflows for some variety of test planning, test management, test writing, and even analyzing test results. But AI can make the biggest impact on the most time-consuming steps in the automated testing process: test creation and maintenance.

Alert and Popup Handling in Selenium Using Simple Steps

Handling alerts and popups is one of the important parts of web automation testing, especially while using Selenium. These dynamic elements, such as JavaScript alerts, confirmation boxes, and model dialogs, can easily interrupt workflows and require specific handling to ensure smooth test execution. Selenium provides strong methods to interact with these elements, but managing them effectively can be complex due to browser focus, timing issues, etc.

S1.E31: How AI can enhance Exploratory Testing with Mark Winteringham

Discover how to harness AI in exploratory testing! In this episode of QA Therapy, Mark Winteringham discusses the benefits of AI in QA and the critical importance of identifying the right problems before adopting it. AI isn’t a one-size-fits-all solution. If you can’t pinpoint specific challenges it addresses, you might not be ready to use it effectively. Mark’s insights provide clear guidance for making informed decisions about AI in your QA strategy.

EP 8: Data leakage: The missed opportunity of lost data

Data has so much promise, but organizations struggle to use it effectively, especially with the increasing complexity of managing large projects and the pressure of incorporating AI. On this episode of The AI Forecast, we’re joined by Simon Asplen-Taylor, the founder and CEO of DataTick and author of “Data and Analytics Strategy for Business”. Simon has spent years counseling organizations on getting their data right. In this episode, Simon shares the common missteps organizations experience with their data – with all roads leading back to data quality and a wild west of data collection across a business.

Announcing DeepSeek-R1 in Preview on Snowflake Cortex AI

We are excited to bring DeepSeek-R1 to Snowflake Cortex AI! As described by DeepSeek, this model, trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT), can achieve performance comparable to OpenAI-o1 across math, code and reasoning tasks. Based on DeepSeek’s posted benchmarking, DeepSeek-R1 tops the leaderboard among open source models and rivals the most advanced closed source models globally.

Pcloudy vs BrowserStack - Which is a Better Choice?

Cloud testing is important to cover enhanced scenarios for web and mobile application testing. Cloud testing allows tests to be executed in real-user-like environments with different operating systems and browser combinations. Using this environment, one can perform cross-browser testing, cross-platform testing, and cross-device testing. Cloud testing plays a major role in identifying device-specific issues.

pCloudy vs Perfecto : Which is Perfect for Cloud Testing?

The need for automation testing is growing rapidly, and it’s no longer just limited to functional testing. Today, organizations also require cross-browser testing, cross-platform testing, responsive testing, visual regression testing, and accessibility testing, in addition to end-to-end and API testing. While open-source tools can perform these tests, they don’t provide the infrastructure to run the automation scripts.