Systems | Development | Analytics | API | Testing

Automated testing with Cypress has revolutionized how developers ensure code quality, but writing comprehensive test suites remains time-consuming and often tedious. Artificial intelligence tools for Cypress testing are emerging as game-changers, dramatically reducing test creation time while maintaining quality. Let’s face it—writing tests can be a real drag. After you’ve spent days coding a beautiful feature, the last thing you want to do is spend another day writing tests for it.

Today, we are excited to announce our partnership with Pruna AI. Pruna AI is the optimization engine built to simplify and accelerate scalable inference. Koyeb offers a serverless cloud platform for teams to deploy ML and AI models on high-performance GPUs, CPUs, and accelerators - globally. By combining Pruna with Koyeb, you can speed up your model optimizations, achieve 5x faster inference speeds, and run them on scalable, high-performance serverless infrastructure.

When evaluating a DevOps testing service, software teams should ask the following questions — it can mean the difference between quickly shipping high-quality code and bottlenecking releases, or having bugs slip into production: In this article, we review five top DevOps testing services, starting with our own, Rainforest QA. We show how we help teams ship high-quality code without constant bottlenecks dragging down the release pipeline.

BigQuery DataFrames 2.0 brings multimodal data processing and AI into your BigQuery Python workflows, and enables larger Pythonic data science.

The retail industry has been shaped and fundamentally transformed by disruptive technologies in the past decade. From AI assisted customer service experiences to advanced robotics in operations, retailers are pursuing new technologies to address margin strains and rising customer expectations.

Collaboration across IT is increasingly critical to having a smooth and effective software release cadence. As software complexity grows, it becomes more difficult for individual team members to have a thorough understanding of all the different elements that comprise a successful software application.

Two years after Seagate first shared their AI and MLOps success story, the data storage leader is now revealing how far they've come since then. In this blog post, you’ll see how the team manages thousands of AI models in production with only a few team members. This is thanks to their AI factory, whichdoes the heavy lifting of automated processes like monitoring, testing, mocking and more.

At Ably's February fan engagement event, Sam Renouf, CEO of the Professional Triathletes Organisation (PTO), captured the essence of impactful fan engagement with an observation about motorsports: Sam's insight points to a transformation across sports, and fan experiences more generally: that effective engagement now depends on meaningful realtime data storytelling.