In the burgeoning intelligence economy, AI tokens are a metered utility, but enterprise profitability now hinges on a critical distinction: output tokens can cost up to 10x more than inputs, creating a new, invisible risk for cost overruns, particularly with Agentic AI. Learn how Kong AI Gateway…
[](/blog/enterprise/ai-input-vs-output-cost-management)
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…
[](/blog/engineering/claude-code-governance-with-an-ai-gateway)
The recent article on OpenAI overhauling its payment systems to reduce its dependency on Stripe highlights an important tension many digital platform builders face today: how to balance usage-based monetization with the realities of payments infrastructure dependency. At Kong, we see this as a…
[](/blog/enterprise/multi-rail-billing-payment-provider-lockin)
We've been all ears. Your workflows clearly told us what mattered most: tabs that adapt to how you actually work, Git commits you can actually understand, and admin controls that don't require a manual to navigate. Insomnia v12.4 discards the friction so you can focus on what’s most important:…
[](/blog/product-releases/insomnia-12-4)
TL:DR Imagine 47 million requests hitting your platform last month. Can you prove who made each one—and invoice with confidence? If that question tightens your stomach, you're not alone. Metered billing for APIs promises fair, transparent pricing that scales with customer success. But it only works…
[](/blog/enterprise/guide-to-metered-billing-for-apis)
We’re proud to share that Kong Insomnia has been recognized as a vendor in the Gartner Market Guide for API and MCP Testing Tools in February, 2026. In a rapidly evolving landscape where AI-driven integration and MCP servers are reshaping how APIs are built, tested, and consumed, being recognized…
[](/blog/news/gartner-report-named-insomnia)
We're excited to announce that Kong just took home the AI Innovator of the Year award from SiliconANGLE Media's 2026 Tech Innovation CUBEd Awards. SiliconANGLE Media runs this annual awards program to recognize companies, technologies, and people moving the needle in B2B tech. Winners go through a…
[](/blog/news/kong-wins-ai-innovator-of-the-year)
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…
[](/blog/news/the-programmable-economy-is-the-agentic-economy)
Modern enterprise platforms rarely exist as clean, well-factored systems. They evolve over years or sometimes decades, through acquisitions, reorgs, rewrites, and urgent business priorities. What you’re left with is not a single, unified architecture. It's layer upon layer of architectural…
[](/blog/enterprise/api-composition-packaging)
Your traditional monitoring dashboards may show perfect infrastructure health, but that doesn't guarantee your large language model (LLM) application is running correctly. AI observability is the crucial fourth pillar that adds behavioral telemetry to detect and troubleshoot unique issues like…
[](/blog/learning-center/guide-to-ai-observability)
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…
[](/blog/enterprise/the-context-economy)
Last week, Gartner published a report titled MCP Servers Will Fuel the Next AI Revenue Surge — Context as a Service (1) that should be required reading for every enterprise technology leader. Then, Kong CEO Augusto Marietti (Aghi for short) wrote out his thoughts on the subject and why context is…
[](/blog/enterprise/the-platform-enterprises-need-to-compete)
There's a problem that almost every platform team running Kafka at scale eventually hits, and it usually starts with a reasonable ask: "Can you give our partners access to this event stream?" What follows is rarely simple. You start scoping VPC peering. Then someone asks about firewall rules. Then…
[](/blog/enterprise/kafka-external-access)
AI agents are spreading across organizations rapidly. Each agent needs secure access to different Model Context Protocol (MCP) servers. Authentication becomes complex. Scaling creates bottlenecks. The dreaded "too many endpoints" problem emerges. You face a classic AI infrastructure headache. The…
[](/blog/learning-center/what-is-a-mcp-gateway)
The promise of agentic AI is clear: autonomous systems that can reason, plan, and act on your behalf. But there's a fundamental problem standing between that vision and enterprise reality: agents need context to make decisions, and that context lives scattered across your organization. Context is…
[](/blog/product-releases/introducing-kong-context-mesh)