Talk tech with tips and tutorials from builders at Kong and the Kong Community.
The AI coding and Agent Harness approach is no longer experimental. This is likely the most impactful agentic AI use case in production today, and Claude Code is one of the solutions really leading the charge. But as engineering teams race to adopt Claude Code across their organizations, a critical…
In today's digital landscape, APIs are the backbone of modern applications, and AI is the engine of innovation. As organizations increasingly rely on microservices and AI-powered features, the API gateway has become the critical control point for managing traffic. But as LLM/GenAI and MCP requests…
APIs and integrations are the foundation of the modern enterprise. Every organization needs to securely connect systems, move data, and automate workflows, all while maintaining control, visibility, and flexibility. Increasingly, those same APIs are also being consumed by AI-powered applications…
For too long, the Model Context Protocol (MCP) has operated on a principle of open access: connect an AI agent to an MCP server, and it gets access to every single tool that server offers. While this approach is simple for initial experimentation, it quickly becomes a liability in production.…
Modern AI applications are no longer just about sending prompts to an LLM and returning text. As soon as AI systems need to interact with real business data, internal APIs, or operational workflows, the problem becomes one of orchestration, security, and control. The challenge is to build secure AI…
Have you ever asked an AI assistant to generate code for a framework it doesn't quite understand? Maybe it produces something that looks right, but the syntax is slightly off, or it uses deprecated patterns. The AI is working hard, but it lacks the specific context it needs to truly help you. The…
In one of our posts, Kong AI/MCP Gateway and Kong MCP Server technical breakdown, we described the new capabilities added to Kong AI Gateway to support MCP (Model Context Protocol). The post focused exclusively on consuming MCP server and MCP tools through Kong MCP Gateway. Now, it's time to check…
The rise of intelligent agents and AI prompts is transforming APIs from mere infrastructure into the capability ecosystem of the agentic era, driving a new model of ecosystem-led growth . To prepare for the inevitable explosion of agent-driven API traffic, enterprises are prioritizing a strategic…
"Too much information running through my brain." When The Police sang this opening line on their 1981 album Ghost in the Machine , they weren't thinking about artificial intelligence, but the sentiment perfectly captures the state of modern AI. The song warns of an overload of data that parallels…
The integration of next-generation AI workloads — from large language models (LLMs) to speech-to-text and text-to-speech — demands a powerful, secure, and scalable infrastructure. This is especially true for building advanced AI voice agents, which rely on seamless, natural, and highly efficient…
The Kubernetes networking landscape is evolving, and recent announcements confirm a significant community shift. The Kubernetes community recently announced the upcoming retirement of one of its most widely used components: Ingress NGINX "To prioritize the safety and security of the ecosystem,…
In January 2025, the OAuth 2.0 Security Best Current Practice became RFC 9700 ( RFC 9700 - Best Current Practice for OAuth 2.0 Security ). This technical milestone symbolizes a broader transformation. APIs are no longer just developer tools – they're regulated infrastructure powering everything…
In this post, Kong Champion Sachin Ghumbre shares his journey of transforming a complex GenAI application from a state of operational challenges to streamlined control. Discover how Kong AI Gateway provided the enterprise-grade governance needed to secure, optimize, and scale his GenAI solution,…
The Challenge : API calls make up a massive 71% of all web traffic, yet many organizations still rely on traditional security tools designed for monolithic architectures. The Risk : Organizations face an average of 421 APIs to manage, with machine learning discovering 30.7% more API endpoints than…
In this blog post, we'll talk about the significant challenge of managing and governing a growing number of APIs across multiple teams in an organization — and how Control Plane Groups are a clear solution to avoid the chaos of inconsistent policies and operational bottlenecks. Scaling your API…