Systems | Development | Analytics | API | Testing

Govern the Full AI Data Path with Kong AI Gateway 3.14

The shift from single-model AI features to multi-agent pipelines is no longer a future concern — it's running in production today. MCP has become the de facto protocol for tool-calling, agent-to-agent (A2A) communication patterns are proliferating, and enterprise teams are wiring together complex AI workflows that span multiple providers, services, and agents. Every hop in that data path is an opportunity for something to go wrong. The challenge is governance.

Introducing Kong Agent Gateway: The Complete AI Gateway for Agent-to-Agent Communication

Kong Agent Gateway Is Here — And It Completes the AI Data Path You had a request going to a model, a response coming back, and a gateway in between to enforce policy. With the right solutions, this becomes manageable pretty quickly.. That world is over. Today's agentic architectures look nothing like that. Agents are delegating tasks to other agents via A2A. These other agents are producing and consuming event streams.

EP20: The Agentic Enterprise

In this episode, *Dr. Sanjiva Weerawarana* and *Asanka Abeysinghe* are joined by WSO2 Chief AI Officer *Rania Khalaf* to discuss what the agentic enterprise really means. The conversation looks beyond AI pilots and explores the architectural foundations needed to make agents practical at enterprise scale. Topics include agents as first-class actors, the platform capabilities required to support them, and why identity, policy, observability, and audit matter in an agentic world. The episode closes with a practical view of what architects should start doing now.

6 Practical Examples of APIs in Everyday Life

APIs are bits of software that act as interpreters for two different programs. They'll connect to each service via endpoints and relay messages back and forth, doing the work of software integration for you. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough. But how does this actually look in the real world?

Build vs Buy: The Hidden Costs of DIY MCP Server Infrastructure

You whipped up a simple MCP server prototype over the weekend. It routed a single AI agent to a few internal tools, your demo impressed leadership, and the team asked the dreaded question: "When can we ship?" You smiled and said, "Give me two weeks." Fast-forward three months**.** You’re firefighting expired tokens at 2 AM. The compliance team is camped in your inbox. Your once-elegant codebase is now a distributed systems nightmare. Sound familiar?

10 Types Of API Testing Explained With Examples (2026)

APIs (Application Programming Interfaces) are the backbone of modern software; they let applications talk to each other, share data, and trigger actions across systems. Before any API goes live, it needs to be thoroughly tested to ensure it works correctly, handles edge cases, performs well under load, and stays secure. This guide covers all major types of API testing with real-world examples and tool recommendations.

How does BearQ autonomous QA work? Your top questions answered

Testing software at scale has always been a race against change. Then, AI-coding turned what was once a challenge into a crisis: rapid development cycles accelerated by AI have made it impossible to maintain comprehensive test coverage and catch issues before they impact users. In SmartBear’s Closing the AI Software Quality Gap Study, 60% of software experts told us they experienced quality issues as development outpaces testing.

How to scale API standards across large teams | Swagger Studio

When multiple designers and teams contribute APIs, you face inconsistent schemas, divergent patterns, and broken assumptions. However, the "shift-left" approach to API standardization helps you catch issues early, automate compliance, and maintain quality without manual gating – making your API program truly scalable. In this video, SmartBear Senior Solution Engineer Joe Joyce demonstrates how to enforce consistent API standards across large development teams using Swagger Studio's governance, collaboration, and CI/CD integration features.

When Your Observability Literally Stops Traffic

Last week, a fleet of autonomous robotaxis in China suddenly stopped working—at scale. Over a hundred vehicles stalled across a city, stranding passengers in traffic and raising immediate concerns about safety, reliability, and trust in autonomous systems. This wasn’t just a bad day for self-driving cars. It was a distributed systems failure, one that happened in the physical world, not just in dashboards.