AI Coding Meets Local Integration Testing: Cursor + Proxymock Workflow
Ever find yourself stuck between unit tests and a full staging environment?
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Hitachi Vantara Launches Virtual Storage Platform One Block High End Storage to Power the Next Era of AI and Mission-Critical Workloads
VSP One Block High End delivers advanced data protection and cyber resilience, providing continuous availability and meeting the latest NIST-certified standards for security and authentication.
Cloudera and Protegrity: Securing Your Open Data Lifecycle
Protegrity’s Jessica Hammond joins Cloudera to discuss their data-centric approach. Learn how the partnership secures unstructured data and LLMs, enabling frictionless, automated AI and analytics on the Cloudera platform. Learn how Cloudera and Protegrity secure your AI data.
Oracle's AI momentum and why quality assurance matters more than ever
After attending Oracle AI World, one thing is clear: Oracle is all in on AI. From embedded agents across Fusion Applications to the AI-native Oracle Database and OCI’s massive model-training capabilities, Oracle is positioning itself as the platform where enterprise AI comes to life. The energy was infectious. Every session, demo, and conversation carried a sense of acceleration: faster decisions, faster workflows, faster innovation.
The AI Hacks Coming in 2026 (And Why No One's Ready) #shorts
Curious — Do you think companies are ready for the governance piece? Or are we about to learn the hard way?
ADB Debugging: What It Is and How to Use It on Android
Modern app users don’t tolerate glitches — speed and stability are non-negotiable. Debugging across multiple Android devices, however, can be tedious if done manually. That’s why developers rely on Android Debug Bridge (ADB) to streamline development. With ADB, we can: In this guide, we’ll cover what ADB is, how it works, installation steps, and the most useful commands for debugging Android applications.
Building Bitrise's context-aware, browser-integrated AI copilot that keeps engineers in control
Note: This article is the second in this series. Check out the first one here: Why we ditched frontier AI agents and built our own.
Build Modern AI-Ready Infrastructure Without Starting Over
Modernization has reached a tipping point. For organizations running mission-critical workloads—including increasingly demanding AI-driven applications—the traditional approach often adds risk instead of reducing it. But does modernization have to mean costly investments, downtime, and uncertainty? Not anymore.
Key Takeaways from Our AI Quality Discussion
AI systems change faster than traditional QA models can react, which means quality risks now emerge in real time rather than at release.
Introducing SmartBear AI Labs: Imagining the Future of Software Quality
The SmartBear community is made up of curious, collaborative builders. They’re developers, testers, creators, and innovators who every day are experimenting with new technologies, customizing workflows, and solving complex problems.