Live Last read · last published · next check
Multi-agent workflows live and die on context. Every agent-to-agent call and every agent-to-tool call is either a retrieval — fetching information the agent needs — or a mutation — changing state that downstream agents will depend on. At prototype scale,…
Multi-agent systems are, at their core, context distribution systems. Every agent in your workflow is a consumer and producer of context. The interesting architectural questions are all about how that context moves. Two operations drive everything:…
As AI adoption scales, applications evolve into complex systems of agents, orchestration layers, and context servers. Infrastructure lags behind — struggling with authentication, cost control, and data security across a provider list that changes every…
An AI agent isn't magic. It's a reasoning engine that makes decisions based on what it knows at a given moment. That "what it knows" is its context — the information available to it right now. Context is everything. Give an agent the wrong context, or…
AI spending will reach $2.59 trillion in 2026. I regularly like to share what we're seeing in production at Kong. Not projections or analyst forecasts, but actual traffic flowing through Kong AI Gateway from the largest enterprises in the world. In the…
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…
This recognition is especially significant because it reflects the voices of our employees. After becoming Great Place To Work® Certified™, Kong earned a place on the list, with 94% of employees saying Kong is a great place to work. Awards are always…
API + AI Summit 2026 is Kong's annual gathering, now in its ninth year. The event was created for engineers, architects, and leaders with certification opportunities and tracks focused on token cost management, agentic architecture best practices, context…
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…
Your infrastructure already has the raw materials: compute (VMs, containers, serverless), event streaming (Kafka, Kinesis, Pub/Sub, RabbitMQ), data stores (warehouses, databases, object storage), and AI endpoints (any hosted or self-hosted LLM). Those are…
iPaaS — Integration Platform as a Service — was built for a world of deterministic applications. The mental model is simple: you have systems, they have APIs, and iPaaS connects them. Data flows from point A to point B according to rules you define. If…