Systems | Development | Analytics | API | Testing

Claude + MCPs Isn't a Semantic Layer: What Breaks When You Analyze Your Business Without One

Ask Claude for your average sales cycle today. Ask again next Tuesday. Same prompt, same MCPs, same playbook. There is a real chance the two numbers do not match. The reason is not exciting, and it costs you decisions. If you have wired Claude to your CRM, product, and finance tools through MCPs and given it a detailed playbook, you are already ahead of most companies asking whether AI can analyze the business. The gap between that and running the company off the answers is real, though.

Yellowfin BI 9.18 Brings Conversational Analytics You Can Trust

We are happy to announce the general availability of version 9.18 of Yellowfin BI, our business intelligence and embedded analytics platform. This release marks a step forward in how organizations and ISVs can combine the power of modern AI models with an auditable data analysis process.

How to fix API contract drift with AI agent skills | SmartBear Swagger Contract Testing

Your AI coding agent can already write code. Can it verify a contract, run provider checks, and tell you whether it's safe to deploy? This video shows you how to set up SmartBear Swagger Contract Testing drift AI Agent Skills, so your agent can spot API drift and write the missing tests for you, without needing the context multiple times.

Snow Report: What's Happening At Snowflake in August

The August Snow Report is LIVE Two GA launches for CoCo, warehouse tuning that handles itself, and World Tour in 23 cities. What's new CoCo Desktop is GA A native IDE inside your governed Snowflake environment, so it knows your data models and access policies from day one. Up to 2X faster on complex tasks with 51% fewer tokens than third-party assistants. Cloud Agents are GA Run agentic workflows from your browser in Snowsight. Start with a prompt, close your session, and the agent keeps working on Snowflake's managed infrastructure.

Guide to Load Testing Microservices Architectures in Cloud Environments (2026 Edition)

Misconceptions about microservices load testing are common, especially for teams moving from monolithic systems. It’s tempting to believe that simply scaling infrastructure or running legacy load tests will reveal the same issues and provide actionable results. However, distributed, cloud-native architectures introduce new complexities and risks that demand a different approach.

The Times They Are A-Changin' - Just Not on SAP's Terms

Bob Dylan wrote those words in 1964 about a world in flux - where the old rules were being quietly rewritten, and the people who hadn't noticed yet were about to find out the hard way. He wasn't thinking about enterprise data architecture. But if you've been following SAP's moves on data access, extraction, and platform strategy over the past two years, those words might be landing a little closer to home than usual.

The Architecture Decision Your Multi-Agent System Will Live With

Most teams building multi-agent systems hit the same wall at roughly the same point. The prototype works. Agents chain together, tasks complete, the demo impresses the room. Then someone asks: "What happens when this runs a thousand times a day? What happens when an agent calls an external API that's down? How do we know what the agents actually did?" That's when the architecture conversation starts. Here's the framing that clarifies most of these questions.