O'Reilly Media AI & ML - Software

The AI Teaching Toolkit: Practical Guidance for Teams – O’Reilly

Radar Trends to Watch: October 2025 – O’Reilly

Developments in Programming, Operations, Augmented Reality, and More

Mapping the Design Space of AI Coding Assistants – O’Reilly

From Autocomplete to Agents: Analyzing 90 Tools from Industry and Academia

Generative AI in the Real World: Emmanuel Ameisen on LLM Interpretability – O’Reilly

The Cognitive Shortcut Paradox – O’Reilly

The Java Developer’s Dilemma: Part 1 – O’Reilly

This is the first of a three-part series by Markus Eisele. Stay tuned for the follow-up posts.AI is everywhere right now. Every conference, keynote, and

Flow State to Free Fall: An AI Coding Cautionary Tale – O’Reilly

Learning to Hammer Pitons in the Age of AI

Why AI Efficiency May Be Making Your Organization More Fragile – O’Reilly

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

Trust but Verify – O’Reilly

Learning to Catch What AI Misses

Generative AI in the Real World: Faye Zhang on Using AI to Improve Discovery – O’Reilly

Prompt Engineering Is Requirements Engineering – O’Reilly

We’ve Been Here Before

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

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

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

Context Engineering in the Big Picture of LLM Applications

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

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

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

Taming the Delightful Chaos – O’Reilly

What the Computerization of Wall Street Can Teach Us About AI

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

We’re Beginning to Understand What’s Next

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 2 – O’Reilly

The Art and Science of Effective Context

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

Lessons from Google Docs and Other Internet Innovations

From Automation to Insight – O’Reilly

Using AI to Keep Up with Our Authors

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

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

Takeaways from My Conversation with Marily Nika

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