Systems | Development | Analytics | API | Testing

CoCo Desktop - Built Renxu Hu Renxu built the AI feature behind Snowflake’s fastest-growing habit: building entire data workflows at lightning speed. ️

AI is reshaping how software gets built and tested faster than most QA teams can keep pace, yet teams rarely get to influence what a vendor ships before the decision is made. That's why we created Tricentis Labs. Tricentis Labs is where agentic-AI ideas are built in public, giving quality engineering teams early access to experiments and a say in which ones become real products. In this announcement, Ryan Yackel and David Colwell walk through how Labs works and the first three experiments open to customers and partners today.

This session looks at how agentic automation can take over web and mobile regression. We start with the regression tax: the slow 3-day cycle, the manual triage, and the flaky reruns nobody trusts. We then cover why scripted suites hit a wall and make the case for handing regression to agents instead. The core of the talk is how it actually works, with Appium MCP driving mobile and Playwright MCP driving web, interpreting intent rather than hard-coded steps and adapting when the UI shifts.

When Spring Boot goes end of life, most teams assume their LTS coverage has them protected. It doesn't — at least not the way they think. The real risk isn't in the Spring Boot or Spring Framework version on the label. It's in the 40+ libraries the Bill of Materials has quietly pinned underneath it, frozen at EOL while CVE research keeps moving.

How is AI changing software development — and what happens when AI-generated code meets real-world data? In this clip from The Innovation Blueprint Podcast, Roman Havrylyuk from ORIL and Bob Frady, Co-Founder of PropertyLens, disscuss how AI is changing the way teams write code, work with data, and make business decisions — and why better AI capabilities don’t eliminate the need for strong engineering and data foundations.

Meet Lineos, Certent and Simba, three focused technology brands from insightsoftware built to help finance, HR and technology leaders navigate an increasingly complex, AI-driven world. We’ve built our portfolio around a simple idea: specialized challenges deserve specialized solutions. “The launch of Lineos, Certent, and Simba represents the next stage of our transformation: focused brands with the domain expertise and innovation required to solve the distinct challenges facing CFOs, HR leaders and CTOs.”— Chris Jurasek, CEO, insightsoftware.

Can you trust AI agents to run your tests without losing control of your release process? In this video, you’ll learn how, with SmartBear BearQ’s agentic QA system, the answer is yes, because you decide exactly how much autonomy the agents get. This enables you to adapt QA to fast-moving AI codebases, all with human oversight.

A breakdown of the three potential ways software engineers will interact with AI coding assistants, ranging from local desktop setups to fully automated software delivery factories. Learn more: speedscale.com.

In this fireside chat, Rahul Shetty - one of the most widely followed test automation educators - explores how AI is reshaping testing careers, which QA roles and skills are gaining relevance, and what testers should focus on learning next. He also shares how AI is being used by real testing teams, what interview panels are looking for in 2026, and how testers can stay relevant as the industry evolves. A practical conversation on the future of QA, beyond the AI hype.

Every new AI chat is another first day on the job. Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over again. In this episode of The AI Forecast, Paul Muller speaks with Rob Collie, founder and CEO of P3 Adaptive, former Microsoft product leader for Excel and Power BI, and author of “Fair Game: Bringing AI Into Reach for All Business” to explore why business context can make or break enterprise AI.