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
AI wrote the code, but can you trust it? #aicoding #integration #cursor #devops #speedscale
Using AI coding tools like Cursor is fast, but it leaves a massive question: Is the new code going to break production? We solve this by combining Cursor with Proxymock! I take a live traffic snapshot of my running app, feed it back to the AI, and instantly run realistic integration tests locally. It's the only way to get true confidence before you push. Watch the full video below!
Agentic AI: The Next Frontier in Observability | Insights From Current NOLA
Monitoring is old school. Agentic AI makes observability autonomous. Learn how it can be used to spot patterns, find issues, and keep systems healthy—all on its own.
Koyeb Sandboxes: Fast, Scalable, Fully Isolated Environments for AI Agents and More
At Koyeb, we provide high-performance serverless infrastructure for intensive applications across CPUs, GPUs, and accelerators. We take code, build it, and run it in fully isolated, secure microVMs on bare-metal servers around the world. We scale automatically when needed, down to zero when idle, with cold starts as low as 250ms. Over the past few months, we’ve been working with an increasing number of teams using Koyeb to orchestrate and run AI-generated code at massive scale.
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.
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.
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.
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.
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.
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?