Systems | Development | Analytics | API | Testing

Happy holidays from the Kong team! Consider this our gift to everyone who's been asked "what's the ROI on AI?" one too many times. The AI boom has a dirty secret: for most enterprises, it's bleeding money. Every LLM call, every agent invocation, every API request that powers your AI products — they all cost something. And right now, most organizations have no idea what they're spending, who's spending it, or how to control that spend. Finance teams are flying blind.

Kong was born to connect. The world is shifting from connecting cloud services with apps to connecting LLMs through agents. API calls and tokens are moving in tandem; a new unit of intelligence is forming. As AI traffic explodes into hypervolumes, speed is all that matters. The same principles of performance, security, and reliability behind Kong are essential in an agentic world. A new connectivity layer for AI is born.

Happy holidays! 2025 has been a busy and productive time here at 'Badger HQ. While we shipped a lot of cool things, four features really stand out as we look back on the year. Our top features in 2025 include: We also attended some conferences this year! MicroConf, RailsConf, Laracon, ElixirConf, Rocky Mountain Ruby, and SF Ruby: It was great connecting with so many folks in person, discussing application monitoring, and sharing some delicious meals.

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.

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.

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.

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.

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.

Modern teams push code multiple times a day. But how do you verify that the changes made are free from bugs? And how do you integrate testing as part of your pipelines? In this blog, let’s explore how to integrate Keploy into your CI/CD pipelines. We’ll be using GitHub Actions for the examples.

2025 was one of our biggest years yet. We introduced powerful new capabilities that make it easier for anyone on your team to access the data they need, uncover insights, and share insights across the business —so decisions can happen faster and with more confidence. Here are this year’s top highlights.