Don't over-engineer your harness! Lessons learned at @kong from 34,000 tests using Agentic AI. 👇 konghq.com/blog/engineering/…

One of the best ways to avoid model lock-in is to use a multi-LLM AI Gateway that allows to seamlessly send requests to multiple models without having to rewrite your code. At @kong we built an enterprise solution that allows to achieve just that, via the universal API. Build once, switch to any model instantaneously.

The biggest obstacle to cloud migration isn't technology. It's complexity. 😵‍💫 Many organizations know they need to modernize, but the risk of moving critical API infrastructure keeps them stuck on legacy platforms. 🤝 Together with @Persistentsys, we help enterprises migrate with confidence while building the connectivity, governance, and security foundation needed for AI. Learn more in our blog post: bit.ly/4vK11yA

Kicking off Day 1 at #FOST Amsterdam! Great sessions, great conversations, and a dedicated @AsyncAPISpec track focused on the future of event-driven architectures. If you're here, stop by and say hi to the @Kong team. We'd love to chat. #EventDrivenArchitecture #Kong

We've been hard at work building out the agenda for API AI Summit. Here's what you can expect. 👇 5️⃣ tracks: AI governance, API modernization, event-driven agentic AI, AI monetization cost control, and context engineering. Plus all of the hands-on workshops and networking we can fit into 2 days. Early bird pricing ends tomorrow! Register now > bit.ly/3QA8GAt

From Melbourne to Stockholm to Washington DC, the Kong Agentic Era World Tour is off to a roaring start! 🦍 If you're an engineer or technical leader who wants to learn what it takes to win in the age of AI connectivity, this is for you. We'll have business tracks on governance and cost control, technical workshops, and roundtable discussions with other decision-makers building AI in production. 🌎 The World Tour ends this month. Check out the remaining stops here: bit.ly/4e9TotR

Great week at #APIops Helsinki! Thanks to Marjukka for the invitation and to everyone who attended, shared experiences, and joined the discussions. Proud to represent Kong and exchange ideas on API governance, platform engineering, AI, and developer experience. #APIs #Kong

AI agents can tell you what they know. But can they tell you how they got there? 🤔 AI observability needs needs more than prompts, tokens and model responses. Developers need a complete, replayable history of every decision, tool call, and context change. Check out this blog from @hguerreroo on why durable commit logs may be the missing foundation for AI observability 👉🏼 bit.ly/4v37Xqv

Every company in the AI era is going to face the same structural question: what do you actually own? Models are commoditizing and agents are making interfaces irrelevant. Your context layer is your identity, but most enterprises don't even know they have one. Between the systems of record that hold your data and the agents that act on it, there's a layer that doesn't have a name in most org charts. It's the semantic intelligence wrapped around your data — the context that tells an agent not just what the data is, but what it means, when it's relevant, and how to use it. Context is what agents eat. Via APIs, via MCP tools, via event streams flowing across your organization. The richest context in any enterprise already exists, buried in API traffic, transactional systems, and years of operational signals.

So many people in tech confuse "API requests" and "tool calls." Tool call = standardized intent API request = programmatic execution MCP = the protocol for agent-to-tool traffic A2A = the protocol for agent-to-agent traffic An API request is software calling software. The plumbing that's been running the internet for 30 years. A tool call is the AI's decision: when an agent needs to book a flight or pull a record, it doesn't write HTTP. It issues a structured instruction, and the system figures out the rest. One tool call can trigger five or six underlying API requests. MCP sits between them — tool discovery, context passing, structured results. It's what makes tool calls portable across models and platforms. But agents don't just call tools. Agents call agents. That's where A2A comes in. MCP governs the conversation between an agent and a resource. A2A governs the conversation between two agents. Different trust model. Different authorization chain. Different governance problem entirely. Securing a tool call is not securing an API request. Metering MCP is not metering REST. Governing AI traffic means governing the whole stack.

Gartner Application Summit day 1 ✅ It was a day full of conversations about how Kong helps leading teams govern AI without slowing developers down, monetize AI-driven architectures, manage API, event and AI traffic with a single control plane, and much more. There's still time to see us this week! Come by booth #207, join our happy hour tonight, or book time with our execs 👉🏼 bit.ly/3RBAPYf

I used to think in years. Now I think in decades. When I started @Kong, I might have guessed we'd hit certain milestones sooner than we did. But looking back, we've also built something FAR bigger than anything I could have mapped out at the start. Both things are true at the same time — and that tension taught me something I wish I'd understood earlier. We overestimate what we can do in the short term, and we dramatically underestimate what we can do in the long term. The companies that compound — the ones that end up defining their era — aren't necessarily the ones moving fastest in year one. They're the ones who identified something foundational. For us, that was APIs. The world was going to generate more APIs, more connections, more traffic — no matter what. That was true in 2015. It was true in 2020. It's more true today than ever, now that every AI agent on the planet runs on APIs. We didn't need to predict the LLM revolution. We just stayed close to something fundamental and made sure we did it better than anyone else in the world. That's what a long time horizon gives you. Not certainty about the destination — but the patience to let the right bets compound. I think about this a lot as we build Kong into the connectivity layer for the AI era. We're in the middle of something that will take another decade to fully emerge, even as it changes every day. That's exactly where we want to be.

Two of our board members made the Forbes Midas List 2026! 👏 Congratulations to @mavolpi and @martin_casado! We're lucky to have you with us on our journey to build the AI connectivity layer.

Tune in to @MTSlive this afternoon to see some familiar faces. 👀 🦍 Our co-founders, @sonicaghi and @subnetmarco, will be live at 2:00pm PT/5:00pm ET

Attending Gartner Application Summit? Don't miss our session on Tuesday at 11:45am! 🤖 Our Senior Technical Product Marketing Manager, Dan Temkin, will cover where AI cost and AI governance break down, how teams manage token usage at scale, and what sustainable AI infrastructure looks like. Will we see you there? bit.ly/433X1fZ

📣 Insomnia 12.6 is live! What's new? 🔹 Go deep in git from your terminal with native git CLI support or stick to the Insomnia UI. Your API workspace, your call. 🔹 Dynamic mocking on self-hosted cloud-hosted mock servers Learn more on our blog: bit.ly/4uELGPC

🎶 It's the final countdown...for our API AI Summit Call for Papers! If you've built something interesting with APIs and AI, we want to know your real-world stories. The best talks come from people who have actually done the work. That means you. Submit by Wednesday, June 10th, for the chance to present on stage in LA. Details here: bit.ly/3RvgS5g

Spotted in the wild: Iceland edition 📍 Proof that Kong's reach knows no limits! 📷 Photo credit and a major shoutout to one of our customer champions whose son took their Kong water bottle on a backpacking trip through Iceland!

Did you catch our CEO and Co-Founder, @sonicaghi, on @MTSlive this week? Watch the clip below to hear Aghi's take on Anthropic acquiring Stainless. Then, check out the full conversation to hear about why connectivity infrastructure matters as much as models, how the internet is shifting from pixels to APIs, and how enterprises will govern AI at the traffic layer. bit.ly/4wF8uAh

SITUATION EXPLAINED: Anthropic bought Stainless because agents need rails. Kong CEO @sonicaghi says the deal is about more than making Claude Code easier to use. Agents need SDKs, CLIs, MCP, and APIs to reach the systems where work actually happens. "The connectivity infrastructure matters as much as the model... [it] is going to be the digital railroads on how AI moves." "We're moving from pixels to APIs."