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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.

LLM Output Evaluation & Hallucination Detection

As enterprises transition from experimenting with Generative AI (GenAI) to deploying Large Language Models (LLMs) in production, a critical challenge has emerged: reliability. While LLMs demonstrate remarkable proficiency in automating workflows from drafting executive communications to summarizing complex legal corpora, their susceptibility to "hallucinations" remains a significant operational risk. The scale of this challenge is non-trivial.

How does BearQ autonomous QA work? Your top questions answered

Testing software at scale has always been a race against change. Then, AI-coding turned what was once a challenge into a crisis: rapid development cycles accelerated by AI have made it impossible to maintain comprehensive test coverage and catch issues before they impact users. In SmartBear’s Closing the AI Software Quality Gap Study, 60% of software experts told us they experienced quality issues as development outpaces testing.

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.