Latest Blogs for API Insights and Ideas

# A New Dawn: Enterprise AI's Shadow — Trillions of Tokens, Zero Governance

A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity.…

# The Age of AI Connectivity

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…

# In the Context Economy, Context is King

Gartner published a report last week (1) that I think marks a genuine inflection point for how enterprise technology leaders should think about AI strategy. The headline finding: we have crossed a threshold where competitive advantage in the AI era is no longer about access to data — it's about…

# From Pixels to APIs: The Programmable Economy is the Agentic Economy

The APIs that have been powering websites and apps created a massive market, but there are only up to 8 billion humans consuming them behind pixels. As LLMs are taking over the world — in the form of productized agents first — there will be 100X more machines than humans. The internet built for…

# How AI Agents Communicate: Managing Context in Multi-Agent Workflows

You've probably seen the demos. An AI model kicks off a task, hands pieces of it to other AI models, and somehow the whole thing gets done. Emails drafted, code reviewed, reports summarized — all without a human in the loop. While a single agent doing one thing is impressive, the true paradigm…

# AI Takes Center Stage at Kong Partner Summit 2026

This September, Hollywood’s spotlight shines on Kong as we welcome our global partner ecosystem back for another action-packed Kong Partner Summit 2026 preceding API + AI Summit! Together, we'll explore how organizations are moving beyond AI experimentation to production-ready, enterprise-scale…

# Kong Recognized as a Fortune Best Workplace in the Bay Area

One of the most rewarding parts of my role is hearing from employees that Kong is a place where they can do meaningful work, grow their careers, and genuinely enjoy the people they work with. That's why I'm thrilled to share that Kong has been named to the Fortune Best Workplaces in the Bay…

# API + AI Summit 2026: 7 Can't-Miss Sessions

Go beyond AI theory and hype, and dig into what's actually running now at Kong's API + AI Summit 2026 , the must-attend AI and API conference of 2026, Sept. 30–Oct. 1 at the InterContinental Los Angeles. Register now , and join the people who've made the calls, hit the walls, and figured out…

# Kong Innovator Awards 2026 Now Open For Submissions

Our annual Kong Innovator Awards celebrate the people actually doing the work: the builders, engineers, and teams using Kong to solve hard problems in ways we didn't expect. Let’s be clear – these aren't participation trophies. They recognize the customers who pushed further, shipped something…

# Stop Patching. Start Building: The Kong Context Mesh Stack

You've diagnosed the problem. Your agentic AI initiatives are stalling — not because the models are wrong, but because the integration layer underneath them wasn't built for this. Batch data, rigid schemas, fragmented governance, no real-time event delivery. The plumbing is the bottleneck . Now the…

# Your Multi-Agent System Is Only as Reliable as Its Context Layer

You've mapped the architecture. You know your agents need to retrieve context from external tools, coordinate with other agents, and propagate mutations through your systems. The model logic is solid. What you haven't fully solved is what sits between those agents and everything they're trying to…

# The Architecture Decision Your Multi-Agent System Will Live With

Most teams building multi-agent systems hit the same wall at roughly the same point. The prototype works. Agents chain together, tasks complete, the demo impresses the room. Then someone asks: "What happens when this runs a thousand times a day? What happens when an agent calls an external API…

# Intelligent Model Routing: Kong AI Gateway Applies NVIDIA NeMo Switchyard Across Model Traffic

Every team running production LLMs has had the same idea: not every request needs the frontier model. Intelligent model routing (or LLM routing)— choosing a model per request on criteria such as task complexity, cost, latency, or quality — enables more efficient model usage. The idea is easy.…

# From iPaaS to Context Mesh: The Architecture Shift Agentic AI Demands

If you've been around long enough to remember when iPaaS was the answer to everything, you know the pattern. New paradigms arrive. Someone realizes that wiring it into existing infrastructure is harder than the demos suggested. An integration layer gets built. That layer slowly becomes…

# Why Your AI Agents Keep Failing (Hint: It's Not the Model)

You swapped in a better model. You fine-tuned it. You threw more tokens at the problem. And still — your agents hallucinate, break under load, and deliver answers that were accurate about three hours ago. The model isn't the problem. Gartner recently flagged that up to 40% of enterprise agentic AI…

# How to Proxy Every AI Traffic Pattern Through One Gateway

Production AI no longer generates one kind of traffic. It generates four patterns, and most teams govern only one. AI traffic management starts with a single decision: proxy AI traffic through one control point instead of letting it flow straight from application code to model providers. Skip that…

# Announcing Kong AI Gateway 2.0: Built for the Pace of Agentic AI

We have big news for platform and AI infra teams: Kong AI Gateway 2.0 is available today in private beta . It runs on its own dedicated runtime, ships on its own release cadence, and carries a completely reimagined user experience designed around the way teams actually build with AI: models, MCP…