Coding for AI Agents vs. Coding for Human Developers
As AI coding assistants and autonomous agents (often powered by large language models) become more involved in software development, best practices in…
Author: Martin Treiber
The Great Rewiring: Nadella and Zuckerberg on How AI is Reshaping Tech’s Foundation
AI isn’t just upgrading our tools—it’s redefining the tech foundation. In a compelling fireside chat , Satya Nadella and Mark Zuckerberg reveal how…
Duolingo’s AI-First Pivot Isn’t Just Smart. It’s Survival.
When Luis von Ahn, CEO of Duolingo, told his team they were going “AI-first,” it wasn’t framed as an option .
Integrating AI Agents into Teams—How to Succeed Without Tech Overload
AI agents are more than just smart chatbots—they're becoming genuine team members. With the right approach, AI agents like Roman from support function as…
The Jagged Frontier of AGI: Surprising Superpowers, Baffling Failures
AI researchers are finding that today’s most advanced models are superhuman in some ways and stumbly in others.
Model Context Protocol Comparison: MCP vs Function Calling, Plugins, APIs
How does the Model Context Protocol ( MCP ) compare to other ways of connecting AI to tools? In this article, we break down how MCP stacks up against…
CaMeL Prompt Injection Defense Explained
Prompt injection attacks pose a major threat to AI assistants, but a breakthrough system called CaMeL offers a powerful defense by design.
Model Context Protocol: Inside the MCP Architecture
The Model Context Protocol (MCP) is redefining how AI systems interact with external tools and data sources.
A2A vs MCP: Comparing AI Standards for Agent Interoperability
As AI agents increasingly automate and enhance complex workflows, the technology landscape is seeing the rise of crucial interoperability standards.
Model Context Protocol (MCP): A New Standard for Tool and Data Integration
Large language models are evolving fast, but their real power comes from connecting to the outside world.