Systems | Development | Analytics | API | Testing

Why are AI Agents Superior to LLM #speedscale #apitesting #mocks #ai #agents #llm #developers

Matt LeRay explains the key difference: AI agents can perform multi-step processes to solve complex software tasks, unlike simple LLMs that mainly answer questions. Discover how agents go beyond chat to: What are your thoughts on AI agents in software development? Let us know in the comments below!

Instant API updates with Kong Insomnia | Platform engineering demo

Tired of slow, manual config changes in your internal platform? In this quick demo, we show how to instantly deploy and update your API configurations using Kong Gateway, Kong Konnect, and Insomnia. It’s declarative, Git-based, and built for platform engineers who want governance without the bottlenecks. What you'll see:How to manage APIs with declarative config Using Git workflows to push updates to the cloud Real-time deployment via Kong and Insomnia A clean, self-service experience for platform teams.

Secure your MCP servers with Kong AI Gateway

Managing AI infrastructure isn’t enough—you need to protect it. In this demo, learn how to secure, observe, and govern your MCP servers using Kong AI Gateway. If you’re integrating MCP into your stack, Kong’s AI Gateway acts as the trust layer—keeping your costs down, your innovation moving, and your risks in check. Subscribe for more demos on AI infrastructure, API management, and platform engineering.

Choosing The Right LLM: Why Flexibility Is Key

In this Cortex AI roundtable, Snowflake's Arun Agarwal, Yusuf Ozuysal, and James Cha-Earley highlight why AI model flexibility is crucial for real-world applications. Recognizing that no single large language model excels at everything — coding, reasoning, extraction, or conversation — Snowflake Cortex AI brings the strengths of different LLMs together by integrating leading LLMs like OpenAI, Mistral, Anthropic, and Meta into one secure platform.

Hands-on with Apache Iceberg

As organizations move beyond traditional data lakes and warehouses, the need for scalable, performant, and reliable table formats has never been greater. Apache Iceberg is quickly becoming the go-to open-source table format for the modern data stack—bringing the features of SQL tables to the data lake with schema evolution, time travel, partitioning, and ACID transactions. In this exclusive Hevo Learning Lab session, join Alex Merced—Senior Developer Advocate at Dremio and co-author of Apache Iceberg.