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kong

Introducing New MCP Support Across the Entire Konnect Platform

Oct 14, 2025 By Alex Drag In Kong
If you’ve been following Kong, you know that Kong was the first in the API platform space to introduce an enterprise-grade AI Gateway for LLM workloads. Today, we’ve also introduced a new enterprise-grade MCP Gateway to ensure that you can roll out production-ready MCP deployments. But we are focused on more than just the Gateway. Today, we’re excited to announce additional MCP workflow support in the Konnect Developer Portal and a brand new MCP integration solution, the MCP Composer.
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kong

Introducing the Volcano SDK to Build AI Agents in a Few Lines of Code

Oct 14, 2025 By Marco Palladino In Kong
Today, we're open-sourcing Volcano SDK, a TypeScript SDK for building AI agents that combines LLM reasoning with real-world actions through MCP tools. Why Volcano SDK? One reason: because 9 lines of code are faster to write and easier to manage than 100+. Without Volcano SDK? You'd need 100+ lines handling tool schemas, context management, provider switching, error handling, and HTTP clients. With Volcano SDK: 9 lines. Look how we compress 100+ lines with the following example: That's it.
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bugfender

An introduction to Kotlin Sealed Class

Oct 14, 2025 By Sachin Siwal In Bugfender
Sealed classes are a special kind of class in Kotlin, used to create restricted hierachies — where the full list of sub-classes is strictly limited, and known in advance. This is particularly useful when we want to enhance the power of Kotlin’s when statement, model a type that has a fixed set of possible variations, or represent a fixed group of states or outcomes (such as network responses, UI states and form validations).
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IAM for Agentic AI : Episode 03 - Deep dive into #Asgardeo's Agent Identity Capabilites

Oct 14, 2025 By WSO2 In WSO2
In Episode 3 of our *"IAM for Agentic AI"* series, we take a closer look at practical solutions for securing your AI agents with Asgardeo. As promised, Geethika Cooray and Ayesha Dissanayaka return to provide a deep dive into Asgardeo's IAM capabilities specifically designed for AI agents. Ayesha walks through a live demo, showcasing how Asgardeo can securely enable AI capabilities within your existing business systems.
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speedscale

Testing AI Code in CI/CD Made Simple for Developers

Oct 13, 2025 By Srujana Maddula In Speedscale
Generative AI can produce code faster than humans, and developers feel more productive with it integrated into their IDEs. That productivity is only real if CI/CD tests are solid and automated. When not appropriately tested, you may encounter a production issue that you haven't seen before. According to the State of Software Delivery 2025 report, 67% of developers spend more time debugging and resolving security vulnerabilities in code generated by AI. That cancels out the efficient gains that they get from faster AI code generation.
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bugfender

iOS App Testing: How to Test an iOS App on iPhone

Oct 13, 2025 By Aleix Ventayol In Bugfender
It’s one thing to build an app. It’s another to make sure it actually works the way people expect – on real iPhones, in the wild, under all kinds of conditions. That’s where iOS app testing comes into play. Crashes, broken layouts… these are the kinds of things that can tank your reviews fast. If you want to avoid that, you need to test the app properly. And that’s exactly what we’re going to walk you through in this short guide.
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How Microsoft And Snowflake Are Making Open, Interoperable Data Stacks A Reality For The AI Era

Oct 13, 2025 By Snowflake Inc. In Snowflake
Snowflake CEO Sridhar Ramaswamy chats with Microsoft Chairman and CEO Satya Nadella on the market shift toward open, interoperable architectures to enable enterprises to do more with their data. Hear how Microsoft and Snowflake are partnering to help customers build an enterprise-ready data foundation with deeply integrated solutions for migrations, open lakehouses, data sharing and AI.
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How AI Agents Actually Call APIs: 5 Common Misconceptions

Oct 10, 2025 By Kong In Kong
Ever wondered how AI agents and Large Language Models (LLMs) connect to real-world data and services? It’s not magic—it’s a well-structured process. This video breaks down the five most common misunderstandings about how LLMs call APIs, databases, and other custom tools. We explain the crucial role of the Model Context Protocol (MCP) in creating reliable and powerful AI agents. In this video, we'll cover.
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