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The latest News and Information on Software Testing and related technologies.

tricentis

SAP testing is broken. Agentic AI is how we fix it.

Mar 31, 2026 By Lizzie Stokes In Tricentis
Software testing has a bad rap for bottlenecks — and nowhere is that truer than in the SAP world. An overwhelming majority of SAP orgs continue to rely on manual testing practices that can consume up to 30% of implementation budgets, making QA out to be a persistent roadblock to transformation. To be fair to SAP QA teams, the issue is not as much about inefficiency as complexity.
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tricentis

Everything we announced at our Agentic Quality Engineering Platform launch

Mar 31, 2026 By Sarah Welsh In Tricentis
Over 1,000 people around the world tuned in as Tricentis CEO Kevin Thompson and VP of AI David Colwell unveiled our new integrated platform, followed by a live demo from Enterprise Solution Architect Matt Serpone. From our headquarters in Austin, Texas, we unveiled a unified solution designed to help enterprises treat quality as a coordinated system rather than a collection of disconnected tools.
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speedscale

AI Coding Agents Break What Works

Mar 30, 2026 By Josh Thornton In Speedscale
Your AI coding agent just made every test pass. Ship it, right? Not so fast. A growing class of AI-generated bugs doesn’t come from writing bad code. It comes from the AI changing working code to accommodate its own mistakes. This isn’t a theoretical risk. It’s happening now, in production codebases, and it’s harder to catch than any bug the AI might introduce from scratch.
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BearQ Q&A recap: Top questions from SmartBear's live event

Mar 30, 2026 By SmartBear In SmartBear
Asked a question in our BearQ livestream? We’ve got your answers. We received 100+ questions during the event and couldn’t get to all of them live, so we pulled together the most common ones and answered them here. In this video, we break down what BearQ can test, how it handles authentication and complex workflows, how the AI works behind the scenes, how it fits into your existing tools, and even how to get early access.
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smartbear

Create tests in Reflect directly from your coding agent!

Mar 30, 2026 By Prashant Mohan In SmartBear
If you’ve used Claude Code, GitHub Copilot, Cursor, or any coding agent, you already know the feeling. You describe what you want in plain language, the agent figures out the steps, and you watch it work. When something goes wrong, it backs up and tries a different approach. Reflect now brings that same agentic workflow to test automation. Through the SmartBear MCP server, any coding agent that supports MCP can connect to Reflect and build tests from high-level objectives.
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testhouse

Beyond the Dashboard: Using Telemetry to Solve the Unknown Unknowns of Performance

Mar 30, 2026 By Testhouse In Testhouse
Your dashboards are lying to you, not through bad data, but through incomplete data. They show you what you told them to watch. They cannot show you what you did not know to ask. Telemetry-driven performance engineering uses metrics, logs, traces and profiling to detect and diagnose issues that traditional dashboards cannot capture. The failures that hurt most are not the ones you predicted; they are the ones your monitoring was never designed to catch.
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Real Device Access API - Product Demo

Mar 30, 2026 By Sauce Labs In Sauce Labs
Building Internal Developer Tools with a Device Lab API: Sessions, Streaming, Logs, and Automation For years, platform teams have had to choose between costly internal device labs for control or public clouds with limited access. That tradeoff ends with the Real Device Access API, the first solution to treat mobile devices as Infrastructure-as-Code—delivering direct, low-latency access to real devices without framework constraints. See how teams can retire internal racks while running any workflow on fully managed infrastructure they control programmatically.
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speedscale

The 4 Golden Signals of Monitoring Explained

Mar 27, 2026 By Kush Mansingh In Speedscale
As a team, we have spent many years troubleshooting performance problems in production systems. Applications have become so complex that you need a standard methodology to understand performance. Our approach to this problem is called the Golden Signals. By measuring these signals and paying very close attention to these four key metrics, providers can simplify even the most complex systems into an understandable corpus of services and systems.
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speedscale

7 Best Service Virtualization Tools in 2026

Mar 27, 2026 By Nate Lee In Speedscale
Service virtualization tools have become indispensable for organizations seeking to streamline their testing and development processes. These tools allow teams to simulate the behavior of critical software components, enabling more rapid development with overall cost reduction and improved collaborative outcomes. As demand mounts for service virtualization solutions, identifying the best tools to support this workflow in the software development lifecycle has never been so important.
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sauce labs

Mobile App Performance Testing: How to Measure, Resolve, and Prevent Performance Regressions

Mar 27, 2026 By Drew Albee In Sauce Labs
From optimizing startup times to simulating real-world network chaos, discover how to build an automated mobile performance testing strategy that scales across thousands of real devices and protects your user experience.
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