As AI coding assistants and autonomous agents (often powered by large language models) become more involved in software development, best practices in coding must account for a new “audience.” Traditionally, code is written by and for human developers, emphasizing readability and maintainability for people. In contrast, code intended to be generated or maintained by AI...
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 artificial intelligence is reshaping the very foundations of software development. From multi-model orchestration to AI-powered coding agents, they paint a future where the boundaries between documents, applications, and human input dissolve into a...
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. It was framed as survival. In an all-hands email, von Ahn doesn’t mince words. AI isn’t coming. It’s here. And companies that wait for permission, or perfection, are already too late. If that sounds dramatic,...
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 part of your team, not as foreign entities. These AI agents don't hide behind interfaces or in the cloud. They have email addresses. They respond. They coordinate. And when implemented correctly,...
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. Take OpenAI’s new “o3” model, for example: it aced challenging business tasks in seconds but tripped over a simple children’s riddle. This paradox – uneven, “jagged” performance across tasks – has led Wharton professor Ethan Mollick to...
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 function calling, plugins, direct APIs, and agent frameworks. We’ll also explore real-world use cases for MCP and where this emerging standard might take us in the future. MCP...
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. Developed by researchers from Google, DeepMind, and ETH Zurich, CaMeL uses proven software security principles to protect large language models where others fail. Here’s how it works—and why it matters. The Problem: Why...
Model Context Protocol: Inside the MCP Architecture
The Model Context Protocol (MCP) is redefining how AI systems interact with external tools and data sources. Building on simple function calling, MCP introduces a powerful, modular client-server architecture that enables dynamic tool discovery, secure integration, and efficient session management. In this post, we’ll explore the core components of MCP, including lifecycle phases, primitives like...
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. Google's Agent2Agent (A2A) protocol and Anthropic's Model Context Protocol (MCP) stand out as prominent initiatives that, while complementary, target distinct aspects of AI integration. Here we take a deeper look at both, examining their designs,...
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. Enter Anthropic’s Model Context Protocol (MCP)—a universal standard that makes it easier for AI to call external tools, access real-time data, and interact fluidly with services. In this first article of our series, we unpack what MCP is,...
