O'Reilly Media AI & ML - Software

MCP in Practice – O’Reilly

Mapping Power, Concentration, and Usage in the Emerging AI Developer Ecosystem

When AI Writes Code, Who Secures It? – O’Reilly

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 duped

Taming Chaos with Antifragile GenAI Architecture – O’Reilly

Turn Volatility into Your Greatest Strategic Asset

Building AI-Resistant Technical Debt – O’Reilly

When Speed Creates Long-Term Pain

Megawatts and Gigawatts of AI – O’Reilly

We can’t not talk about power these days. We’ve been talking about it ever since the Stargate project, with half a trillion dollars in datacenter investment,

A “Beam Versus Dataflow” Conversation – O’Reilly

Generative AI in the Real World: Luke Wroblewski on When Databases Talk Agent-Speak – O’Reilly

AI Security Takes Center Stage at Black Hat USA 2025 – O’Reilly

The security landscape is undergoing yet another major shift, and nowhere was this more evident than at Black Hat USA 2025. As artificial intelligence

Looking Forward to AI Codecon – O’Reilly

I’m really looking forward to our second O’Reilly AI Codecon, Coding for the Agentic World, which is happening on September 9, online from 8 am to noon pacific

Understanding the Rehash Loop – O’Reilly

When AI Gets Stuck

Radar Trends to Watch: September 2025 – O’Reilly

Developments in AI, Security, Web, and More

Working with Contexts – O’Reilly

The following article comes from two blog posts by Drew Breunig: “How Long Contexts Fail” and “How to Fix Your Contexts.”Managing Your Context is the Key

MCP Introduces Deep Integration—and Serious Security Concerns – O’Reilly

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

LLM System Design and Model Selection – O’Reilly

Choosing the right LLM has become a full-time job. New models appear almost daily, each offering different capabilities, prices, and quirks, from reasoning

Context Engineering: Bringing Engineering Discipline to Prompts—Part 3 – O’Reilly

Context Engineering in the Big Picture of LLM Applications

Firing Junior Developers Is Indeed the “Dumbest Thing” – O’Reilly

Matt Garman’s statement that firing junior developers because AI can do their work is the “dumbest thing I’ve ever heard” has almost achieved meme status. I’ve

Taming the Delightful Chaos – O’Reilly

What the Computerization of Wall Street Can Teach Us About AI

From Automation to Insight – O’Reilly

Using AI to Keep Up with Our Authors

The Abstractions, They Are A-Changing – O’Reilly

We’re Beginning to Understand What’s Next

We Are Only Beginning to Understand How to Use AI – O’Reilly

Lessons from Google Docs and Other Internet Innovations

Is AI a “Normal Technology”? – O’Reilly

We think we see the world as it is, but in fact we see it through a thick fog of received knowledge and ideas, some of which are right and some of which are

Generative AI in the Real World: Understanding A2A with Heiko Hotz and Sokratis Kartakis – O’Reilly

Context Engineering: Bringing Engineering Discipline to Prompts—Part 2 – O’Reilly

The Art and Science of Effective Context

Why AI-Driven Client Apps Don’t Understand Your API – O’Reilly

Recent surveys point to a massive growth in AI-driven bots crawling the internet looking for APIs. While many of these have malicious intent, a growing number

People Work in Teams, AI Assistants in Silos – O’Reilly

As I was waiting to start a recent episode of Live with Tim O’Reilly, I was talking with attendees in the live chat. Someone asked, “Where do you get your

Context Engineering: Bringing Engineering Discipline to Prompts—Part 1 – O’Reilly

From “Prompt Engineering” to “Context Engineering”

AI’s Swiss Cheese – O’Reilly

Takeaways from My Conversation with Matthew Prince of Cloudflare

Radar Trends to Watch: August 2025 – O’Reilly

Developments in Biology, Programming, Things, and More

Generative AI in the Real World: Jay Alammar on Building AI for the Enterprise – O’Reilly

What Ants Teach Us About AI Alignment – O’Reilly

I've been thinking a lot lately about a species of carpenter ant that lives in the mountains around Jerusalem. These tiny insects might just hold the key to

The Observability of Observability – O’Reilly

Building Trust in AIOps

The Future of Product Management Is AI-Native – O’Reilly

Takeaways from My Conversation with Marily Nika

Hanoi Turned Upside Down – O’Reilly

Reasoning Versus Problem Solving

Protocols and Power – O’Reilly

If 'context' is king, we need to ensure it remains fluid and accessible by third-party developers

Interfaces That Build Themselves – O’Reilly

For most people, the face of AI is a chat window. You type a prompt, the AI responds, and the cycle repeats. This conversational model—popularized by tools

AI and Education – O’Reilly

At the AI Engineer World’s Fair in San Francisco this June, co-founder Benjamin Dunphy announced the new AI Education Summit. He introduced the free, online

From REST to Reasoning: A Journey Through AI-First Architecture – O’Reilly

Inside the Ethical Hacker’s Mind: How Pros Make Split-Second Security Decisions – O’Reilly

How Human-Centered AI Actually Gets Built – O’Reilly

Generative AI in the Real World: Phillip Carter on Where Generative AI Meets Observability – O’Reilly