MCP vs A2A: Battle of the AI Agent Protocols
Anthropic's MCP connects AI to tools, while Google's A2A lets AI agents collaborate. Here's when to use each and why you probably need both.
Real-world lessons, pragmatic solutions, and honest takes on data and AI—no buzzwords, just what actually works.
Anthropic's MCP connects AI to tools, while Google's A2A lets AI agents collaborate. Here's when to use each and why you probably need both.
After 6 months of using Claude Code daily, here's what actually works, what doesn't, and how we're really getting 5x productivity gains.
Ever had a pipe burst at 3 AM? Your data pipeline failures feel the same way. Here's how thinking like a plumber can save your data infrastructure.
Imagine describing your data pipeline in plain English and having it appear, tested and documented. That's not sci-fi—it's what we built last week.
When festival vendors can chat with their software like they're texting a colleague, magic happens. Here's the real story.
AWS vs GCP vs Azure? Wrong question. Here's how to build systems that thrive anywhere, with real examples from production.
Picture having 5 expert developers working 24/7, never getting tired, never forgetting context. Here's our actual workflow.
Weekly insights on what's actually working in AI and data engineering. No hype, just real-world applications.