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

Why the "tsunami of code" is breaking QA | From the Bear Cave Ep. 3

Apr 23, 2026 By SmartBear In SmartBear
Recent SmartBear research shows that 70% of teams are already seeing quality degrade with AI-generated code, creating a real bottleneck in the software-development lifecycle (SDLC). As output increases, QA teams are left choosing between delaying releases to validate changes or shipping faster with less confidence in what’s actually working. In this From the Bear Cave clip, SmartBear CEO Dan Faulkner and CMO Kelly Wenzel dig into a growing gap in modern software development: how AI is accelerating code generation but testing and quality validation aren’t scaling with it.
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Velocity can't come at the cost of quality

Apr 23, 2026 By SmartBear In SmartBear
AI-generated code is flooding your pipelines. Your test automation debt is piling up. If this sounds familiar, you're not alone. Velocity can't come at the cost of quality. As AI transforms how we build software, API testing must evolve. Join Justin Collier, Senior Director, Product Management, and Yousaf Nabi, Developer Advocate, to explore the future of API testing in an AI-driven world.
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perforce

How Redundant Data Storage May Be Hurting Both Your Bottom Line and the Environment

Apr 22, 2026 By Perforce In Perforce
Unaccounted data copies within non-production environments can make enterprises vulnerable to cyber theft. Non-production environments — which are often less secure than production environments — are treasure troves for hackers seeking to steal customer data. How many copies of test data are currently floating around your organization’s non-production environments?
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tricentis

Why traditional QA metrics fall short as AI enters the pipeline

Apr 22, 2026 By Kateryna Gandzeichuk In Tricentis
Take this scenario: Your team ships a release with 91% code coverage. Every test in the suite passes. The pipeline is green, and leadership signs off. But two days later, a critical defect surfaces in production. Upon investigation, you find that the changed code was never actually tested, and the tests that were run covered different paths entirely. That 91% was real, but it was just measuring the wrong thing. And as AI tools generate more of the code inside those pipelines, the gap widens.
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loadfocus

How to Create Realistic Load Testing Scenarios for E-Commerce Websites in 2026

Apr 22, 2026 By LoadFocus In LoadFocus
Many e-commerce teams leave load testing feeling reassured, only to watch their sites falter when real customers arrive. This gap stems from traditional testing methods that generate misleading results, often concealing the actual risks beneath the surface.
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zymr

Patient Portal Software: Features, Costs & Development Guide (2026)

Apr 21, 2026 By Sitanshu Joshi In Zymr
Healthcare is no longer compared to other hospitals. It’s compared to digital-first experiences across industries. Speed, transparency, and self-service are now baseline expectations. Recent insights from McKinsey & Company show that consumers are taking a far more active role in managing their health and expect easier, digitally enabled interactions across their care journey. At the same time, health systems are under pressure to modernize.
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loadfocus

Top 7 Cloud Testing Tools for Performance Testing in 2026

Apr 21, 2026 By LoadFocus In LoadFocus
Many development teams remain tied to legacy on-premise performance testing. These setups require dedicated hardware, manual orchestration, and time-consuming local environment configuration. For teams releasing multiple times a week, this approach quickly becomes a source of frustration. Bottlenecks emerge not only during test execution but also in sharing results.
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loadfocus

How to Set Up Automated Load Testing for Microservices Using LoadFocus (2026 Guide)

Apr 21, 2026 By LoadFocus In LoadFocus
Traditional load testing methods fall short when applied to the complexity and pace of microservices. Attempting to test dozens or even hundreds of independent services with manual scripts or ad-hoc plans quickly becomes unmanageable. Each service may use a different language, run in its own container, and scale independently, making it easy to overlook critical bottlenecks.
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bugraptors

RAG Pipeline Testing: How to Validate Retrieval, Context Use & Answer Accuracy

Apr 21, 2026 By Sandeep Vashisht In BugRaptors
Large Language Models (LLMs) are impressive, but they are not without significant flaws. Their biggest hurdles are "knowledge cut-offs" where they cannot access information created after their training, and a tendency to "hallucinate" or confidently state false information. These models often struggle with the specific or real-time data that modern businesses rely on daily.
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perforce

Be Ready for Your Next FTI Audit: Manage & Mask Your Sensitive Data

Apr 21, 2026 By Perforce In Perforce
FTI audits are designed to ensure sensitive tax data is properly protected. But in modern enterprises, they’re about much more than passing inspections. Today, you need to manage FTI securely while still enabling fast, reliable access to data across DevOps, analytics, and increasingly, AI workflows. Treating FTI audits as part of a broader data strategy helps teams reduce risk without slowing innovation or creating bottlenecks.
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