Systems | Development | Analytics | API | Testing

Tricentis Labs: Evaluating and Scoring AI Agents with Agent Score

Agents are easy to build and hard to measure. When your company runs hundreds or thousands of them, hand-written evals can’t keep up, and it’s unclear which agents are correct, efficient, and ready for users. In this conversation, Ryan Yackel, SVP of Product Marketing, and Andrew Demers, Product Manager for Agent Score at Tricentis Labs, explain how to measure agent quality, score agents automatically, and trace issues back to behavior.

How Agentic Performance Testing differs from co-pilots and AI assistants

Most AI tools are designed as one assistant or co-pilot answering one prompt, but Tricentis Agentic Performance Testing is built differently. In this video, Product Marketing Manager Twan Koot explains the two pieces behind it: purpose-built tools and a team of seven specialized agents, each designed to do a performance tester’s job the way it should be done. Key highlights.

Automated Testing for Public Sector Missions | Software Quality Assurance for Government

Budgets are tight, AI is changing how software gets built, and citizens expect the same digital experience they get from their favorite online brands. One missed bug can put your mission and constituent trust at risk. In this video, John explains how public sector agencies can close the gap between speed and safety with automated software quality assurance. You'll see how the Tricentis platform helps teams decide what to test, manage testing in one place, automate end-to-end processes, and make sure systems perform under heavy load.

Performance Testing in SAP Cloud ALM | SAP Cloud ALM and EPT Demo

SAP transformation projects are planned and tracked inside SAP Cloud ALM. Here's how SAP Enterprise Performance Testing by Tricentis, or EPT, brings performance testing into that same hub. In this demo, Tricentis walks through creating, running, and analyzing an EPT performance test without leaving SAP Cloud ALM, so performance problems surface long before go-live. Highlights.

Tricentis NeoLoad: NeoLoad and SAP Cloud ALM Integration

SAP projects are planned and tracked inside SAP Cloud ALM. Here's how Tricentis NeoLoad brings performance testing into that same project hub. In this demo, Tricentis shows how SAP teams create, run, and analyze NeoLoad performance tests from SAP Cloud ALM, so they catch performance problems long before go-live. Highlights.

Not all AI-generated tests are created equal

In just a few years, developers went from barely using AI to, at some companies, using it for nearly all of their code. As development cycles compressed, QA was pushed into its own AI revolution: AI-generated tests are increasingly seen as a mandate, the only way to keep up with how fast code now ships. And yet, not all AI-generated tests are created equal.

SeaLights for ABAP: Mapping SAP Risk and Closing Test Gaps

Pair SAP change tracking with automatic test mapping to know exactly what a transport touches, and what still needs coverage. In this walkthrough, Kateryna Serdinsky, Product Marketing Manager at Tricentis, demonstrates how to set up a test cycle, run risk-based impact analysis, and close coverage gaps in SeaLights for ABAP.

AI Workspace + Playwright: Deploy Playwright tests from Jira requirements

Connect AI Workspace, the Tricentis Quality Agent, and Playwright so a Jira requirement generates test cases and runs them as an unattended web test. In this walkthrough, you will see how a ticket drives test case generation, triggers a Playwright run over MCP, and returns a pass/fail report to Jira. Key highlights.

Enterprise Performance Testing closes the performance gap in SAP transformations

Quick summary: SAP Enterprise Performance Testing (EPT) by Tricentis now integrates with SAP Cloud ALM, so teams can create, run, and track performance tests in the same hub as the rest of their S/4HANA transformation. For teams managing SAP transformations, most major workstreams are visible in Cloud ALM, but performance testing has long been an exception. It has lived in a separate tool, forcing teams to treat it as a separate workflow that’s often left to the end of a project.

How IBM tests AI apps and code with AIDA and AI Workspace

Mike Dillon is a Global Platform Leader at IBM. While deeply technical and experienced in enterprise architecture, he is not a traditional hands-on software developer. Yet this spring, Dillon paired his domain expertise with IBM Bob, IBM’s AI coding assistant, to engineer his first full-scale enterprise application: WatsonAuditX. Designed to automate the documentation required for complex SAP audits, the app addresses a familiar operational roadblock.