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…
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…
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…
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.…
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…
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…
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…
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…
Recent research from Forrester’s David Mooter makes a few things very clear: the enterprises that win with agentic AI won't be the ones with the most agents — they'll be the ones with the best integration infrastructure behind them. If you've been following the agentic AI wave, you've probably…
The new Konnect Dev Portal Toolkit extension for Visual Studio Code gives you a live, portal-accurate preview of your content right beside the file you are editing. You watch a page take shape exactly as it will appear to your developers, as you type, without ever leaving your local editor. Konnect…
We're thrilled to announce a strategic technology partnership between Kong and ModelOp . As enterprises rapidly transition into the agentic era, they face a critical challenge: how to deploy AI fast enough to stay competitive without taking on unacceptable regulatory or security risks. Together,…
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…
TL;DR: Be sure to stay up-to-date with all things Kong Insomnia . Developers aren't writing every request by hand anymore. Claude Code, Codex, and other agentic tools have quietly taken over a job that used to belong to traditional API clients: making the request, reading the response, iterating.…
We're excited to announce the expansion of Kong Identity to include centralized principals, which is a single source of truth for every entity (machine, agent, processes, etc) that needs to be authenticated across API gateways, event gateways, and developer portal applications. For platform teams…
In late June 2026, two of the most widely used AI agent platforms were compromised within the same week. Langflow disclosed a critical unauthenticated remote code execution flaw. Dify, powering over one million applications, revealed four vulnerabilities that exposed private conversations and…
This is the second post in a series. For the first part, see Why We Need to Stop Prompt Hacking . Generative AI systems do not fail because models are weak. They fail because architectures are incomplete. Once organizations accept that prompts cannot guarantee reliability, a new challenge emerges:…
