Systems | Development | Analytics | API | Testing

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.

Snow Report: What's Happening At Snowflake In October

Supercharge your development workflow with Snowflake Workspaces. Find out how it boosts productiivity and enables collaboration in this month's edition of the Snow Report. You'll also find details about this year's Startup Challenge, hosted by Snowflake and the New York Stock Exchange. The grand prize is up to $1,000,000 in investment money. You'll also get all the details about BUILD 2025 as well as information on a host of virtual events, including Startup Demo Day and a workshop titled "Unlocking AI with an Interoperable Data Mesh.".

SmartBear Named a Challenger in the First-Ever Gartner Magic Quadrant for AI-Augmented Software Testing Tools

For decades, testing was about ensuring predictable outcomes in mostly static environments. Today, AI-driven applications are dynamic, adaptive, and sometimes unpredictable. That raises the stakes for quality engineering. When Gartner rolls out a brand-new Magic Quadrant, it’s a big deal to those of us in the software industry. We believe it signifies a new, innovative tech has officially arrived on the global stage.

Transforming Oil & Gas: How Qlik, Snowflake, and AWS Are Powering the Future with Generative AI and Unified Data

In a special session at Qlik Connect this past May in Orlando, attendees got to hear from three industry leaders - Dave Freriks from Qlik, Randy Pettus from Snowflake, and Sathisan Vannadil from AWS - all coming together to detail a cutting-edge integration of generative AI across the three different platforms. Their mission: help oil and gas companies harness the power of advanced data solutions to manage complexity, drive efficiency, and accelerate decision-making.

Testing AI with AI: strategies for validating Machine Learning Models

Artificial intelligence is becoming a core part of modern software. From fraud detection to recommendation systems, machine learning models are shaping business outcomes and user experiences. But with this progress comes complexity. Unlike traditional applications, AI systems don’t behave in predictable ways. They adapt, learn, and sometimes make mistakes that are hard to trace.

Inside AI Engineer Paris 2025 Part 2 - How We Built a Photobooth with Flux Kontext + Qwen 3 VLM

On September 23 and 24, we hosted AI Engineer Paris 2025 at Station F — a one-day gathering of builders, researchers, and practitioners exploring the future of applied AI. With five talk tracks, 48 sessions, and 25 sponsors, the event brought together the best of the AI engineering community in Europe and worldwide. If you want a full recap of the key themes and takeaways from the talks, check out our event recap blog post.

Agentic Test Automation for Salesforce: Accelerate and simplify your Salesforce quality

We are pleased to introduce Tricentis Agentic Test Automation for Salesforce, an AI-driven solution that makes it possible to achieve high-quality Salesforce environments faster and with less effort. We recently announced Agentic Test Automation, enabling Tricentis Tosca to generate comprehensive, end-to-end tests using natural language. With this update, we are extending this capability and applying the power of agentic AI to your Salesforce environments.