Systems | Development | Analytics | API | Testing

In this video, we’ll cover async and await, real syntax examples, and the biggest mistakes developers still make. Not just theory — real examples built and tested in Xcode.

In this video, Tun Shwe (@DataSurfer), Head of AI at Lenses.io, takes you on a journey through the Lenses MCP Server - the bridge between AI models and Apache Kafka. Discover how engineers, analysts, and compliance teams can now interact with Kafka using natural language.

See how SmartBear engineers used the SmartBear MCP Server to build API Drift—an MCP-powered automation that detects and resolves discrepancies between APIs, Swagger documentation, and PactFlow contracts.

In this must-listen episode of The Data Chief, Ilan Twig, co-founder and CTO of Navan, shares why large language models (LLMs) will revolutionize our relationship with technology, comparing the shift to the mouse replacing the keyboard. Ilan provides insight into the critical "Build vs. Buy" decision every company must face and reveals the intense process Navan undertook to launch Navan Cognition, built to ensure zero critical hallucination through supervisor agents.

Watch how Astera Centerprise simplifies complex on-prem to cloud migrations with an intuitive, no-code interface. From schema detection to validation let AI handle the heavy lifting while you migrate with confidence. Smarter. Faster. Effortless.

In this quick guide, Speedscale's Matt LeRay shows you how to free your local development environment from direct AWS SES dependencies. When your application sends an email during local testing, it usually triggers a live AWS transaction, leading to slow tests, unnecessary cloud costs, and sometimes even spam filter issues.

Tired of local development using AWS SES leading to spam, cloud costs, and unnecessary API calls? When testing your app, you shouldn't have to connect to a live cloud environment just to send a test email. Learn how to set up your own local ProxyMock server to intercept and record real SES calls, so you can replay them instantly and accurately without ever leaving your desktop.

Stop asking "What happened" and start asking "Why" with Spotter! When a critical metric spikes or dips, simply knowing what changed is just the beginning. With Spotter, you can instantly investigate the metric by asking natural language questions like, "Why did this happen?" Spotter automatically analyzes every possible cause and delivers a complete root cause analysis in seconds. Uncover the drivers behind key metric changes instantly, giving you the power to understand and act fast.

Snowflake Intelligence is an enterprise intelligence agent that puts insights at every user’s fingertips. It enables every employee to answer questions, no matter how simple or complex, in natural language. They can move beyond the “what” to uncover the critical “why,” fostering a new data culture where every employee can derive deep insights and take timely action for faster outcomes. Gain insights from structured and unstructured data with Snowflake Intelligence via this quickstart.