Why an Open Data Infrastructure means reliability and low cost
An open, unified data foundation is critical for reliably and cost-effectively supporting future data use cases, especially AI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
MCP in Production: Governing Agentic API Consumption | DeveloperWeek
As AI agents begin interacting with APIs, traditional API governance models need to evolve. In this DeveloperWeek session, Derric Gilling (WSO2) explains how organizations can manage and secure agent-driven API consumption using the Model Context Protocol (MCP). Unlike human applications, AI agents can generate large volumes of API calls from a single prompt. Without proper controls, this can lead to unexpected costs, security risks, and limited visibility into how APIs are being used.
Velocity can't come at the cost of quality
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.
Why the "tsunami of code" is breaking QA | From the Bear Cave Ep. 3
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.
10 Ways to Optimize API Performance Testing for Faster, More Reliable Results (2026 Guide)
Many teams dedicate time and resources to API performance testing, yet still face sluggish releases and delayed deployments. Incidents slip through, and users encounter slow applications. The root cause? Too often, teams treat performance testing as a checkbox, without truly simulating real-world loads or analyzing key performance metrics such as latency, throughput, and error rates. This leads to a false sense of readiness that quickly unravels in production environments.
Data & AI Anywhere: Mastering Digital Sovereignty with Cloudera
Hey, did you know?... Cloudera's "anywhere" approach means *you* get to choose and control where you deploy your data and AI. Continue watching to hear how we make that possible. In this video, learn how Cloudera helps organizations maintain comprehensive control over their most valuable assets through three critical pillars: Chapters.
Android Studio Breakpoints: How to Debug Android Apps Faster
Breakpoints are one of the most useful tools we can call on when we’re debugging applications. If you’re not familiar, they allow us to pause execution and examine what the program is doing at that moment. And Android Studio offers a whole bunch of add-ons to supplement its core functionality. In this guide, we’ll show you how Android Studio breakpoints work and how you can maximize their potential in your day-to-day work.
How to Build a QA Culture: Why Your Whole Team Should Write Tests (Not Just Engineers)
Quality Assurance used to be the responsibility of a single department. But today, the most effective software teams treat it as a shared responsibility, and the results speak for themselves. There’s a quote from one of Ghost Inspector’s customers that highlights this shift: “The victory for us is how Ghost Inspector has changed the face of QA in our company. We are beginning to grow what I believe is a QA culture.
The $2 Million Vercel Ransom: Lessons in AI Supply Chain Security
The recent security breach at Vercel, where a$2 million ransom was demanded after the Context AI OAuth breach, is a wake-up call. Vercel continues to be a pillar of the modern web, serving millions of frontend applications to enterprises around the world. A compromise on such a scale has a ripple effect throughout the enterprise ecosystem.The incident points to a particular weak point: a combination of third-party AI integrations and internal system security.