Systems | Development | Analytics | API | Testing

IAM for Agentic AI : Episode 03 - Deep dive into #Asgardeo's Agent Identity Capabilites

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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Testing AI Code in CI/CD Made Simple for Developers

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.

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

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.

How Microsoft And Snowflake Are Making Open, Interoperable Data Stacks A Reality For The AI Era

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.

How AI Agents Actually Call APIs: 5 Common Misconceptions

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.