Systems | Development | Analytics | API | Testing

We are pleased to announce the launch of the QualityKiosk–Katalon Joint Innovation Lab on October 15th, marking a significant milestone in our shared mission to advance the future of test automation and quality engineering. This strategic collaboration between QualityKiosk Technologies and Katalon reflects our commitment to empowering enterprises with prebuilt, next-generation testing and automation solutions designed to enhance agility, efficiency, and innovation.

One of Kong Gateway’s superpowers is deck, our first-party declarative configuration tool. Tens of thousands of developers all around the world have embraced a text-driven, version-controlled configuration workflow for the world’s most used API Gateway. The deck CLI is an incredible tool, but it only works for Kong Gateway.

Today, we're open-sourcing Volcano SDK, a TypeScript SDK for building AI agents that combines LLM reasoning with real-world actions through MCP tools. Why Volcano SDK? One reason: because 9 lines of code are faster to write and easier to manage than 100+. Without Volcano SDK? You'd need 100+ lines handling tool schemas, context management, provider switching, error handling, and HTTP clients. With Volcano SDK: 9 lines. Look how we compress 100+ lines with the following example: That's it.

Today, we’re excited to introduce Annotations in Ably Pub/Sub, a powerful way to enrich your realtime streams with structured, abstracted data. Annotations let you layer context onto messages, from emojis and read receipts to custom tags and beyond. Think of them as stickers of information you can attach to messages, tracking and aggregating them however you need.

How openness and reliability are redefining the foundation for AI.

Disclaimer: All of the opinions stated in this blog are my own and do not represent official Gartner opinions on the API Management and Integration markets or the Magic Quadrant report itself.

For decades, testing was about ensuring predictable outcomes in mostly static environments. Today, AI-driven applications are dynamic, adaptive, and sometimes unpredictable. That raises the stakes for quality engineering. When Gartner rolls out a brand-new Magic Quadrant, it’s a big deal to those of us in the software industry. We believe it signifies a new, innovative tech has officially arrived on the global stage.

ClearML Enterprise v3.27 delivers on the three capabilities most requested by practitioners : clear visibility into compute consumption inside projects, simpler and safer access control for remote sessions and deployed endpoints, and quality-of-life upgrades across the UI. The result is better cost control, stronger governance, and faster day-to-day execution.