Browsing: OReilly

We often say AIs “understand” code, but they don’t truly understand your problem or your codebase in the sense that…

The productivity gains from AI tools are undeniable. Development teams are shipping faster, marketing campaigns are launching quicker, and deliverables…

The following was originally published in Asimov’s Addendum, September 11, 2025.Learn more about the AI Disclosures Project here.1. The Rise and Rise of MCPAnthropic’s…

In the rush to get the most from AI tools, prompt engineering—the practice of writing clear, structured inputs that guide…

O’Reilly MediaGenerative AI in the Real World: Faye Zhang on Using AI to Improve Discovery Play Episode Pause Episode Mute/Unmute…

What if uncertainty wasn’t something to simply endure but something to actively exploit? The convergence of Nassim Taleb’s antifragility principles…

Anyone who’s used AI to generate code has seen it make mistakes. But the real danger isn’t the occasional wrong…

I’ve been in a few recent conversations about whether to use Apache Beam on its own or run it with…

O’Reilly MediaGenerative AI in the Real World: Luke Wroblewski on When Databases Talk Agent-Speak Play Episode Pause Episode Mute/Unmute Episode…

MCP—the Model Context Protocol introduced by Anthropic in November 2024—is an open standard for connecting AI assistants to data sources…