Not that long ago, we were resigned to the idea that humans would need to inspect every line of AI-generated code. We’d do it personally, code reviews would ...

My first post made the case for what a semantic layer can bring to the modern enterprise: a single source of truth accessible to everyone who needs it—BI ...

My father spent his career as an accountant for a major public utility. He didn’t talk about work much; when he engaged in shop talk, it was generally with ...

Following the publication of his new book, Building Applications with AI Agents, I chatted with author Michael Albada about his experience writing the book ...

In 2025 AI reshaped how teams think, build, and deliver software. We’re now at a point where “AI coding assistants have quickly moved from novelty to ...

Picture this: You’re a data analyst on day one at a midsize SaaS company. You’ve got the beginnings of a data warehouse—some structured, usable data and ...

This is the second of a three-part series by Markus Eisele. Part 1 can be found here. Stay tuned for part 3.Many AI projects fail. The reason is often ...

A common misconception about O’Reilly is that we cater only to the deeply technical learner. While we’re proud of our deep roots in the tech community, the ...

We often say AIs “understand” code, but they don’t truly understand your problem or your codebase in the sense that humans understand things. They’re ...

In early 2024, a striking deepfake fraud case in Hong Kong brought the vulnerabilities of AI-driven deception into sharp relief. A finance employee was ...