Kong (@kong) / X

Kong

12.6K posts

Kong

@kong

The Unified API and AI Platform.

HQ: San Francisco

Joined February 2009

Kong reposted
Augusto Marietti | API father
@sonicaghi
2h
MCP: new enough to be exciting, old enough to create a sprawl problem. Tell me if this sounds familiar. One team spins up an MCP server. Then five more. All built differently of course! Nobody knows what's out there or who owns what. Yikes. Agents got flooded with tools they
GIF
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Kong reposted
CrowdStrike
@CrowdStrike
Jun 16
AI is creating a new attack surface. As organizations move AI into production, prompts, agents, models, and APIs are generating a growing volume of interactions that traditional security tools weren't built to protect. The result: fragmented visibility and increased exposure to
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Kong
@kong
Jun 17
Here's the agent design requirement nobody scoped: 🗣️ "I act autonomously, but I shouldn't bankrupt the company." 84% of companies are reporting AI margin erosion. Most have no token controls, no governance, no audit trail. Don't miss the AI Governance and Token Economics
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Kong reposted
Insomnia App
@GetInsomnia
Jun 16
📣 Insomnia 13 is here! Insomnia + Kong Konnect now integrate to unify API + AI development workflows. 🧑‍💻 Instantly discover and test any API endpoint 🔄 Endpoints, routes + auth settings are automatically synchronized ⏰ Start testing immediately bit.ly/4xu0UIW
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Kong
@kong
Jun 15
🛠️ We've been working to make Kubernetes the central place to manage more of the Kong ecosystem. Enter: Kong Operator 2.2! It includes Kong Event Gateway support in Kubernetes, Dev Portal support, increased control over the infrastructure Kong Operator creates, and more. Learn
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Kong reposted
Augusto Marietti | API father
@sonicaghi
Jun 11
Don't over-engineer your harness! Lessons learned at @kong from 34,000 tests using Agentic AI. 👇
How We Used Agentic AI to Automate Fixes for Flaky Tests
From konghq.com
703K
Kong reposted
Marco Palladino
@subnetmarco
Jun 10
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
Chamath Palihapitiya
@chamath
Jun 10
At this point every CEO should be asking what their strategy is to avoid model lock-in. If it isn’t clear what Anthropic is doing, it is: - build something amazing - decide who gets to use it after you prompt it if the prompt falls into areas they deem unacceptable by their
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Kong
@kong
Jun 10
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
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Kong reposted
Hugo Guerrero
@hguerreroo
Jun 9
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
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Kong
@kong
Jun 9
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
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Kong
@kong
Jun 9
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
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Kong reposted
Hugo Guerrero
@hguerreroo
Jun 6
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
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Kong
@kong
Jun 5
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
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