Gain technology and business knowledge and hone skills with learning resources created and curated by O'Reilly experts
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Your AI text can carry a watermark without adding a single hidden character.
“There are no hidden characters placed inside the AI generated text, and no extra tokens are consumed.”
Bruce Hopkins explains how it works in this #Radar article: bit.ly/3UHIAxx
O'Reilly Media retweeted
8x8 won Gold for Engineering Excellence at the 2026 @OReillyMedia Awards. Our engineers are the living neural network of 8x8. Per the judges, their learning culture drove a 22% boost in user engagement. 🏆 bit.ly/4s5ntSa #OReillyAwards
ALT Award announcement featuring the 8x8 and O'Reilly logos. Text highlights 8x8 winning Gold in the 2026 O'Reilly Awards for Engineering Excellence, with a focus on remote engineering teamwork. An award trophy is displayed, featuring an abstract design.
O'Reilly Media retweeted
Tired of complex, custom coding and juggling siloed tools just to build an AI-powered data product?
Join me this Tuesday (October 27th) for a beginner-level live training at @OReillyMedia and unlock the power of #MicrosoftFabric integrated intelligence.
learning.oreilly.com/live-ev…
Curious about generative AI, but not sure where to start, especially if your role isn’t technical?
Take the Generative AI at Work assessment to get a skill plan tailored to what you need to learn.
Get started here: bit.ly/4ywJvyM
“AI is also a tool for defenders.” But security teams need more than copilots: clear policies, specialized tools, funding, and new skills.
Mike Loukides on the AI security gaps: bit.ly/47xFvmE
Feeling like your AI progress has stalled? Move beyond one-off wins and build repeatable workflows that help you execute better.
Join O’Reilly’s Expert Showcase: Building AI Workflows That Stick on November 10.
Register: bit.ly/47qyTXb
A first successful AI-assisted run is weak evidence. Can someone else reconstruct, question, or change the work without the creator’s private context?
Kaiyao Duan on why the “second-user test” reveals real understanding: bit.ly/3W0mWF0
The 2026 O’Reilly Award winners are here! This year’s honorees show what it looks like to turn learning into action, with standout work spanning onboarding, skills transformation, applied AI, engineering, and more. Meet the winners: bit.ly/4z5dcIq
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Tomorrow on What’s Happening in Software Architecture I am trying something a bit different, and I could genuinely use your brains.
For the past weeks I have been building a system that answers one question: when coding agents are writing most of your code, how do you know the architecture is still the one you designed?
It collects a handful of signals, turns them into a score you can reproduce, and then lets an agent explain what that number actually means.
Some of it worked better than I expected but some of it failed in ways that taught me far more than the successes did, and I am going to show you both.
This is an experiment, so the session will only be as good as the conversation around it. Bring your scepticism, bring the war story this reminds you of, and tell me which signals you would have measured instead of mine. I will be reading the chat the whole way through.
See you tomorrow 🙂 Register now: oreilly.com/live-events/what…
@OReillyMedia
Does it pay to establish the run? The data says: it’s complicated.
An AI agent digs into one of football’s most persistent arguments, and shows why defining the claim and the filters changes the answer.
Read new #Radar article: bit.ly/4dK4GG3
“AI was already helping with the final stages of software development. I wanted to see whether it could help earlier, while teams were still trying to understand what they were building and why.”
Dhruv Deshpande on shared context for distributed teams: bit.ly/3UxWS3K
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See the impressive collection of @OReillyMedia Machine Learning / AI / Data Science books at: amzn.to/3icyoqJ
O'Reilly Media retweeted
Woah! “The Multiplier Mindset” published by @OReillyMedia is now a #1 Bestseller on Amazon!! 🤯 🎉
“Wider access to AI tools will make human expertise in interpreting data, evaluating models, and understanding their limitations increasingly valuable.”
New tools, robotics, and AI research: this week’s roundup by Christina Stathopoulos & Michelle Smith: bit.ly/47jSp7E
“Treat blast radius as a review criterion on its own.”
AI-generated code may be fast, but every change still needs evidence, clear scope, and the right level of review.
Check out this #Radar article by Markus Eisele to learn more: bit.ly/4dL7VNw
On 10/20, Alex Komoroske joins @timoreilly to explore resonant computing, an approach to technology built around helping people act in ways that reflect their deeper values. They will explore why platforms behave more like complex ecosystems than products: bit.ly/4chZk4H
O'Reilly Media retweeted
Big news! “The Multiplier Mindset” published by @OReillyMedia e-book is out, and book pre-orders are open! 🎉
There are already a lot of early reviews of the book. And I am honored to get such great feedback.
“Observability is for unknown unknowns.”
As AI accelerates software delivery, teams need better feedback loops to understand the unexpected. Charity Majors joins Ben Lorica to discuss reliable AI-powered systems.
Check out the conversation to learn more: bit.ly/4sa1Os7
“Software quality now depends on the constraints you set around your agents.”
As AI agents outpace traditional code review, quality gates matter more than ever.
Check out this #Radar article by Addy Osmani to learn more: bit.ly/4hW90mH
“Once an LLM generates a word, it’s part of the response.”
Why do LLMs lapse into “Yoda-speak”? Andrew Stellman explores how attention and autoregression shape the AI writing quirks we know too well.
Read more: bit.ly/4jWNQYc
