New Kinds of Applications
I’ve said in the past that AI will enable new kinds of applications—but I’ve never had the imagination to guess what those new applications would be. I don’t
"Where are we in the early months of 2026? This post really isn’t about SpaceMolt any more than it’s about Moltbook, any more than it’s about OpenClaw, any more than it’s about Gas Town. I see all of these projects as glimpses of what might be possible." Read on #Radar : bit.ly/4sLk4ag
12.03.2026 21:23
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Fast Paths and Slow Paths
Selective control in autonomous AI systems: Why governing every decision breaks autonomy—and how runtime control actually works at scale
New #Radar article by Varun Raj examines how balance between control and freedom is actually achieved in production systems—not by governing every step but by distinguishing fast paths from slow paths and by treating governance as a feedback problem rather than an approval workflow: bit.ly/3NehNFs
12.03.2026 21:10
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The Accidental Orchestrator
Experiments in agentic engineering and AI-driven development
I've been writing about this experiment on @oreilly.bsky.social Radar. Here's the first article in the new series: oreillyradar.substack.com/p/the-accide...
12.03.2026 14:09
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AI Codecon - O'Reilly Media
Join leading developers and technical experts as they share how AI is shaping new workflows, tools, and ways of building software.
Cohosted by @timoreilly.bsky.social and @addyosmani.bsky.social, AI Codecon on March 26 is focused on exploring what it takes to build excellent software in the age of AI that creates value for all participants. Register to save your free spot: bit.ly/4bDKyEH
11.03.2026 21:22
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Soft Forks: How Agent Skills Create Specialized AI Without Training
Our previous article framed the Model Context Protocol (MCP) as the toolbox that provides AI agents tools and Agent Skills as materials that teach AI agents
"Fine-tuning models for a single use case is no longer the only path to specialization. It demands significant investment in talent, compute, and data and creates a permanent divergence that requires reevaluation and potential retraining every time the base model updates." #Radar: bit.ly/4cH42cM
10.03.2026 22:12
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The Accidental Orchestrator
Experiments in agentic engineering and AI-driven development
I've been writing about this experiment on @oreilly.bsky.social Radar. Here's the first article in the series: oreillyradar.substack.com/p/the-accide...
10.03.2026 13:57
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We are pleased to announce the third virtual conference in the AI Codecon series. Software Craftsmanship in the Age of AI will take place on Thursday, March 26, 2026, from 11:00am to 3:00pm ET, and is free for all attendees. Details and registration link in today's PR: https://bit.ly/4szhHXO
09.03.2026 21:47
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This is the one stop shop for all of the 2026 Tech Leadership Tuesday interviews in their audio format. Save this to keep up-to-date with the experts on their tech leadership journeys: https://bit.ly/4ue5sBB
06.03.2026 18:45
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The Accidental Orchestrator
Experiments in agentic engineering and AI-driven development
This is the first article in an @oreilly.bsky.social Radar series on agentic engineering and AI-driven development. The next one gets into what the code actually looks like, and what happened when I tested it against what I intended to build.
www.oreilly.com/radar/the-ac...
05.03.2026 16:33
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The Accidental Orchestrator
Experiments in agentic engineering and AI-driven development
"One says, “We’re all doomed, that tools like Claude Code will make software engineering obsolete within a year.” The other says, “Don’t worry, everything’s fine, AI is just another tool in the toolbox.” Neither is honest." Check out new #Radar article by @andrewstellman.bsky.social bit.ly/47rfs0u
05.03.2026 20:01
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The "Data Center Rebellion" Is Here
Beyond the chips: The local politics of AI infrastructure
Even the most ardent cheerleaders for artificial intelligence now quietly concede we are navigating a massive AI bubble... To justify this deployment on conventional investment metrics, the industry would need a step change in monetization over a short window to make the numbers work. bit.ly/4b4jwEX
04.03.2026 21:49
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Look at what arrived in the mail!
The book has been out for ~2.5 years already. I'm still really proud of the result. If you know of more deep and exhaustive content on Kafka Connect, please let me know.
Thanks @oreilly.bsky.social for the frame!
04.03.2026 16:54
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Radar Trends to Watch: March 2026
Developments in operations, things, web, and more
"In February, things went crazy. We saw a social network for agents (no humans allowed, though they undoubtedly sneak on); a multiplayer online game for agents (again, no humans); many clones of OpenClaw, most of which attempt to mitigate its many security problems; and much more." bit.ly/4cr5WOA
03.03.2026 20:43
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Stop building one-off agents and start building for the real world. Our MCP for Developers bundle teaches you how to harness the power of the Model Context Protocol—no subscription required. Learn more here: bit.ly/4r76yfI
#MCP #FullstackAI #AIWorkflow #AIEngineers #CursorDev
02.03.2026 20:26
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Why Capacity Planning Is Back
In a previous article, we outlined why GPUs have become the architectural control point for enterprise AI. When accelerator capacity becomes the governing
"AI is not ending the cloud. It is pulling the cloud back toward physical reality. The likely trajectory is a cloud landscape that becomes more hybrid, more planned, and less elastic by default." Check out new #Radar article by Syed Danish Ali to learn more: www.oreilly.com/radar/why-ca...
02.03.2026 20:18
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Semantic Layers in the Wild: Lessons from Early Adopters
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 teams
A semantic layer can bring a single source of truth accessible to everyone who needs it at the modern enterprise. The promise is compelling. But what happens when organizations actually build and deploy one? Read on #Radar to learn more: bit.ly/401eRig
27.02.2026 22:54
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Why Multi-Agent Systems Need Memory Engineering
Most multi-agent AI systems fail expensively before they fail quietly.The pattern is familiar to anyone who's debugged one: Agent A completes a subtask and
"Multi-agent systems fail for structural reasons: context degrades across agents, errors propagate through shared interactions, costs multiply with redundant operations, and state diverges when nothing enforces consistency." Learn more in #Radar article by Mikiko B.: bit.ly/4rPHF9q
26.02.2026 21:32
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This book offers engineering leaders a clear, pragmatic framework for adopting and scaling AI across the entire software development lifecycle. You won't just explore what's possible; you'll walk away with a roadmap for operational change that balances innovation with pragmatism: bit.ly/4aMrD9a
25.02.2026 22:35
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Control Planes for Autonomous AI: Why Governance Has to Move Inside the System
Scaling agentic AI is forcing a shift from external policy to runtime architecture.
"As AI systems move from assistive components to autonomous actors, governance imposed from the outside no longer scales. The problem isn’t that organizations lack policies or oversight frameworks. It’s that those controls are detached from where decisions are actually formed." #Radar bit.ly/4rwKJHz
25.02.2026 22:26
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Generative AI for Excel
Using ChatGPT, Copilot Pro, and AI add-ins to save time and work more efficiently
Do you want to learn how AI tools like Copilot and ChatGPT can help you get more out of Excel? If so, I'm running my Generative AI for Excel course for #OReilly on March 4. Find out more and register: www.oreilly.com/live-events/...
@oreilly.bsky.social
25.02.2026 11:17
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Join us at Gartner Data & Analytics Summit 2026 March 9-11 to see how the O’Reilly learning platform keeps teams ahead of AI advancements—before they’re old news. Stop by our booth #107 to learn more. See you in Orlando! #GartnerDA #DataOps #AnalyticsLeaders #AI #EnterpriseLearning #TechEnablement
24.02.2026 20:38
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The Hidden Cost of Agentic Failure
Why multi-agent systems are probabilistic pipelines
"The core problem of agentic systems in production isn’t model quality alone; it’s composition. Once agents are wired together without validation boundaries, risk compounds." Check out new article by Nicole Königstein on our #Radar: bit.ly/4cM7Kld
24.02.2026 19:32
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Best of Humble Bundle - Linux for Seasoned Admins by O'Reilly
Get 15 books from O’Reilly on a range of topics, including DevOps, containerization, version control with Git & more! Your purchase helps Code for America.
Master the Linux command line, bootstrap yourself into DevOps competency, and other skills to make you a better sysadmin with this @humblebundle.com of DRM-free ebooks from @oreilly.bsky.social!
Perfect for uploading to your own Libreture library for safe-keeping and to track your reading. 💜
24.02.2026 14:44
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Books by Monster SCALE Summit Speakers: Data-Intensive Applications & Beyond
Monster Scale Summit speakers have amassed a rather impressive list of publications, including quite a few books. This blog highlights 11 Monster Scale reads.
(1/2) The best part of Monster Scale Summit is that no matter where you are, you can learn from over 60 speakers who are solving engineering challenges from a variety of angles. Registrants also receive 30-day full access to @oreilly.bsky.social and a 45% discount on @manning.com books.
#ScyllaDB
24.02.2026 14:53
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O’Reilly Offers Its Renowned Live Events for Individual Purchase, Along with Curated Bundles Covering the Latest Technical Skills
We are pleased to announce that our renowned live events are now available for individual purchase and in bundled sets of interrelated courses. Now learners can browse, purchase, and attend high-quality, expert-led live training without a long-term platform subscription: bit.ly/4b4mquC
23.02.2026 16:37
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How to Write a Good Spec for AI Agents
This post first appeared on Addy Osmani’s Elevate Substack newsletter and is being republished here with the author’s permission.TL;DR: Aim for a clear
"This guide distills best practices from my use of coding agents including Claude Code and Gemini CLI into a framework for spec-writing that keeps your AI agents focused and productive," said @addyosmani.bsky.social. Read on #Radar to explore five principles for great AI agent specs: bit.ly/4qTl8Yd
20.02.2026 19:13
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Packaging Expertise: How Claude Skills Turn Judgment Into Artifacts
Think about what happens when you onboard a new employee.First, you provision them tools. Email access. Slack. CRM. Office software. Project management
"The organizations that figure out how to package their expertise, both for internal and external consumption, will have a structural advantage. Not because AI replaces expertise. Because AI amplifies the expertise of those who know how to share it." New #Radar piece by Han-chung Lee: bit.ly/4rxEaVk
19.02.2026 16:36
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AI Is Not a Library: Designing for Nondeterministic Dependencies
For most of the history of software engineering, we’ve built systems around a simple and comforting assumption: Given the same input, a program will produce
"One of the hardest lessons teams learn is that AI systems don’t offer guarantees in the way traditional software does. What they offer instead is probability. In response, successful systems rely less on guarantees and more on guardrails." New #Radar article by Guruprasad Rao: bit.ly/4aIZdgh
18.02.2026 18:42
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AI, A2A, and the Governance Gap
When agent protocols outrun your org chart
"If the last decade was about treating APIs as products, the next one will be about treating autonomous workflows as policies encoded in traffic between agents. The protocols are ready. Your org chart is not." Check out new #Radar aricle by Shreshta Shyamsundar to learn more: bit.ly/4c18TFo
18.02.2026 00:22
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