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

How to scale API standards across large teams | Swagger Studio

When multiple designers and teams contribute APIs, you face inconsistent schemas, divergent patterns, and broken assumptions. However, the "shift-left" approach to API standardization helps you catch issues early, automate compliance, and maintain quality without manual gating – making your API program truly scalable. In this video, SmartBear Senior Solution Engineer Joe Joyce demonstrates how to enforce consistent API standards across large development teams using Swagger Studio's governance, collaboration, and CI/CD integration features.

When Your Observability Literally Stops Traffic

Last week, a fleet of autonomous robotaxis in China suddenly stopped working—at scale. Over a hundred vehicles stalled across a city, stranding passengers in traffic and raising immediate concerns about safety, reliability, and trust in autonomous systems. This wasn’t just a bad day for self-driving cars. It was a distributed systems failure, one that happened in the physical world, not just in dashboards.

OpenTelemetry Trace Testing for CI Release Gates

OpenTelemetry is great at answering one question: “what just broke?” The problem is that most teams need a different answer first: “what is about to break in this release?” That is where trace-based testing comes in, especially for teams running a vendor-neutral OTel stack (Collector + Tempo/Jaeger + Prometheus) and needing deterministic release gates.

Inside the SmartBear Roadmap: Delivering Application Integrity Across the SDLC

As software teams move faster across APIs, testing, and observability, keeping application integrity intact is harder than ever. Join SmartBear product leaders for a Now / Next / Later look at how we’re evolving our platform to help teams build, test, and operate software with confidence. What you’ll get from this session: Get a clear view of where SmartBear is headed and how these capabilities come together to help your teams scale quality alongside velocity across the SDLC.

Scaling Quality Through Expert Consulting

Enterprise organizations understand that a flawless digital experience is paramount to winning in their markets. However, scaling a sound continuous testing strategy is often hindered by the finite availability of experienced QA professionals, especially those with automation knowledge. We'll show you how working with our consultants helps you quickly fill skill gaps, implement the best testing rules, and set your teams up for long-term success.

SmartBear testing tools compared

AI-accelerated development has fundamentally changed how software is built, and across the industry, its impact on quality is already measurable. In SmartBear’s Closing the AI software quality gap study, we found nearly 70% of software professionals report application quality is declining as AI speeds up code generation, with development velocity increasingly outpacing teams’ ability to test effectively.

AI Agent Trends 2026 Explained: From Tasks to Outcome-Driven Systems

Google Cloud’s AI Agent Trends 2026 report points to a deeper shift than incremental automation. AI agents are no longer just layered onto existing systems; they begin to change how work itself is defined and executed. From employees orchestrating agents to workflows running as coordinated systems, the focus moves from tasks to outcomes.

Katalon Launches True Platform: The Trust and Accountability Layer for Agentic Software Delivery

ATLANTA, GA — April 07, 2026 – Katalon, the category leader in AI-augmented software testing, today announced the launch of Katalon True Platform — a unified software quality platform that combines purpose-built AI agents with the governance, traceability, and human oversight that AI-driven development demands. As AI accelerates how software is written, testing has become the critical bottleneck.