An excerpt of chapter 2 of AI Agents with MCP

Announcing the early release of my book on building AI agents with Anthropic’s Model Context Protocol

My impressions after a little over a month of using the AI-assisted IDE Cursor full-time

Good evening from Greece! While I’m catching up on the Australian Grand Prix, I wanted to share this great thread that analogizes post-training optimizations in LLMs to in-season car improvements in Formula 1:

Consider F1, most of the teams show up to the beginning of the year with a new chassis and engine. Then, they spend all year on aerodynamics and systems changes (a minor over simplification), and can dramatically improve the performance of the car. The best F1 teams improve way more during a season.