Systems | Development | Analytics | API | Testing

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.

Full Stack AI for Healthcare: Optimizing Clinical Workflows with Conversational AI for Authorization

Prior authorization is one of the biggest drivers of clinician burnout and care delays, costing the U.S. healthcare system billions in administrative waste every year. Traditional automation hasn't been able to handle the complexity of real-world clinical documentation. Until now. In this session, we go beyond the AI hype to show real outcomes of AI in healthcare, demonstrating how Agentic Conversational AI, integrated directly into EHR workflows, is transforming the prior authorization process.

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.

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.

Why Autonomous AI Agents Can't Run on SaaS Infrastructure

The era of the “copilot” is ending. We are moving rapidly toward the era of the autonomous software factory, where autonomous agents don’t just autocomplete our code—they investigate, plan, test, and merge entire features while we sleep. But this shift has exposed a critical flaw in how we consume AI. For the past decade, the default motion for enterprise software has been SaaS. It’s easy, frictionless, and managed by someone else.