Systems | Development | Analytics | API | Testing

Introducing Tricentis Labs

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.

Self-Driving Regression Testing with AI Agents | Somu Suryanarayanan

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.

Design Load Tests for Progressive Web Apps 2026

Load testing for progressive web apps requires a fundamentally different approach than traditional web applications. Relying on legacy test scripts risks overlooking critical performance issues. Features like service worker caching and offline functionality can distort response times unless your tests are designed to account for them. Ignoring these aspects often leads to misleading results and an inaccurate view of real-world performance.

Manual tester: Why one job title means two jobs

"Manual tester" lands differently depending on who's wearing the title, and both reactions are usually right. Ask someone stuck clicking through the same regression suite every release, no ownership, no say in what gets tested, and "manual tester" feels like a job you're trying to escape. Ask someone who can look at a new feature and instantly spot the edge case nobody thought to script, and the same title undersells what they actually do. Same word. Two different jobs.

Spring Boot EOL Support Doesn't Cover What You Think It Does

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.

AI Is Changing How We Code - But What About the Data Behind It? | Innovation Blueprint

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.

Introducing Lineos, Certent and Simba | insightsoftware

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.

Control how much autonomy your AI testing agents have | SmartBear BearQ

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.

Introducing ThoughtSpot Spreadsheets on Live Data

Every analyst has a version of this “Monday blues.” A leader pings asking for the quarterly forecast, wants it broken out by region, and needs it for a call in thirty minutes. The fastest way to do this? Pull the data out of your tool, paste it into Excel, and build the report there. Thirty minutes later, you've got the report: three new formula columns, a pivot view summarizing the regional split, and conditional formatting flagging the outliers.