Systems | Development | Analytics | API | Testing

Note: The SmartBear MCP Server is under active development and features may change. Check our GitHub repository for the latest updates and compatibility information. At SmartBear, we show how our MCP Server enables a secure and intelligent bridge between SmartBear platform data and AI-powered development workflows.

Human Resources is rich in data but often struggles to make it accessible and actionable. As a profession we also live in the ‘grey’ – of course recognizing that People are by very definition different, unique and often require individual approach.

It’s 8:00 AM on a Monday. A critical business unit just launched a new customer-facing application, and traffic is surging. The infrastructure team gets the call: “We need more storage—immediately.” In the past, this would trigger a scramble—manual provisioning, configuration errors, delays. But today, the team opens their CI/CD pipeline, runs a Terraform script, and within minutes, a secure, scalable storage cluster is live in the cloud. No panic. No bottlenecks.

Hybrid cloud adoption isn’t slowing down any time soon, with worldwide IT spending expected to total $6.08 trillion in 2026 — an increase of 9.8% from 2025.

Today, we’re releasing the JavaScript SDK with full TypeScript support for Koyeb Sandboxes. Less than a month ago, we introduced Koyeb Sandboxes and our Python SDK, giving teams a simple way to run AI-generated code securely in isolated environments. The JavaScript SDK expands this experience and brings the same secure, high-performance sandboxes directly to JavaScript/TypeScript applications, so developers can run AI-generated and untrusted code safely without managing infrastructure.

I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me… and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor—or a very different definition of “twin.” Forget Arnold Schwarzenegger and Danny DeVito.

Most QA teams build and run test cases every sprint. But without a shared structure, tests get reactive, repetitive, or incomplete—leading to missed edge cases, duplicated effort, and late-cycle surprises. That’s where QA Test Scenarios come in. A test scenario maps out what you’re testing at a business flow level before you dive into writing test cases. It gives your team a clear, reusable view of what matters—so you test smarter, not just more.

We’re thrilled to share that Kong Konnect, our unified API and AI platform, has been named a winner of Foundry Co.'s InfoWorld Technology of the Year Awards 2025 in the API Management category. InfoWorld’s annual awards recognize the most innovative software development, DevOps, cloud, data management, and AI/ML products on the information technology landscape.

November delivered steady innovation across SQLMesh, SQLGlot, and the Fivetran Connector SDK, with advancements in reliability, dialect fidelity, and developer tooling.

A hands-on tutorial that takes you from nothing to a working REST API. No prior API experience required. By the end of this tutorial, you'll have a working REST API with multiple endpoints. You'll understand HTTP methods (GET, POST, PUT, DELETE) and know how to test your API. You'll also see why teams often choose auto-generation over hand-coding for production APIs. Prerequisites: Node.js installed (v18+), a code editor, and basic terminal familiarity.