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How to Connect OpenAI Agent Builder to Your Internal Databases with DreamFactory

OpenAI's new Agent Builder is revolutionizing how businesses create AI-powered workflows with its intuitive drag-and-drop interface. But here's the challenge that every enterprise faces: how do you give your agents access to internal databases without exposing credentials or compromising security?

From Chaos to Control: How Kong AI Gateway Streamlined My GenAI Application

In this post, Kong Champion Sachin Ghumbre shares his journey of transforming a complex GenAI application from a state of operational challenges to streamlined control. Discover how Kong AI Gateway provided the enterprise-grade governance needed to secure, optimize, and scale his GenAI solution, tackling issues from escalating LLM costs to prompt injection risks.

Snowflake: The Platform For The AI Era

The age of AI has arrived, bringing unprecedented opportunities and complex new challenges. The Snowflake AI Data Cloud is the unified platform and connected ecosystem built for this new era of innovation. Our platform empowers organizations to break down silos, activate their data and build powerful AI applications with speed and trust. Join us and discover why Snowflake is the place where data does more.

MCP Tutorial: Connect OpenAI Agent Builder to Enterprise Data in 60 Seconds | DreamFactory MCP

Most teams testing OpenAI’s new Agent Builder hit the same wall: connecting to their real enterprise data securely. In this 3-minute tutorial you’ll learn how to: DreamFactory MCP bridges the gap so you can move from demo to production-ready agent on real data — fast, secure, and with no new infrastructure. Deploy locally: npx @dreamfactory/create-df-mcp.

Top 10 AI Agent Development Companies in 2025

‍ 2025 is turning out to be a big year for AI agents. Grand View Research notes that the global AI agent development market, worth about USD 5.40 billion in 2024, could soar to nearly USD 50.31 billion by 2030, growing at a remarkable 45.8% CAGR. And it’s not just about numbers. A recent McKinsey report highlights that agentic AI is the next logical step after generative AI. Evolving from simple task execution to actively driving goals and delivering results that make a measurable difference.

A Developer's Guide to Improving AI Code Reliability

You’ve probably been there: your AI coding assistant just generated what looks like a perfect solution to your problem. Decent code quality, reasonable structure, and even some comments. You run it, and… it works. So you ship it. Three weeks later, your production logs are full of 500 errors from edge cases the AI never considered, or worse, you discover the code has been making unvalidated database calls that could have been prevented with basic input sanitization.

Test the Untestable With Perfecto AI: Nested Tables

Discover how Perfecto AI simplifies automated testing for complex and nested tables, a common challenge in data-intensive applications. This short demo showcases how a single, natural language prompt can execute sophisticated data validation across multiple platforms, simplifying a traditionally difficult and time-consuming process. What you will see in this demonstration.

Test the Untestable With Perfecto AI: Complex Diagrams

Watch how Perfecto AI validates complex diagrams, verifying elements such as object positioning, color accuracy, and labeling correctness. With agentic AI, these traditionally difficult areas for test automation are simplified using natural language prompts. Get ready to explore.

Introducing the MCP Server - Testing Reimagined in Katalon Studio

Hey everyone, Launch days are always exciting, and today, I couldn’t be happier to share something we’ve been working hard on: the MCP Server in Katalon Studio. This isn’t just another update. It’s a milestone for StudioAssist and for all of you who are looking to move faster with AI. With this release, we evolved StudioAssist from simply answering your questions to becoming your Agentic AI assistant. That means it doesn’t just tell you what to do.