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O'Reilly Radar — AI/ML

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Behavioral Credentials: Why Static Authorization Fails Autonomous Agents
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Behavioral Credentials: Why Static Authorization Fails Autonomous Agents

Enterprise AI governance still authorizes agents as if they were stable software artifacts.They are not. An enterprise deploys a LangChain-based research agent to analyze market trends and draft internal briefs. During preproduction review, the system behaves within acceptable bounds: It routes queries to approved data sources, expresses uncertainty appropriately in ambiguous cases, and maintains source […]

O'Reilly Radar — AI/ML
Don’t Blame the Model
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Don’t Blame the Model

The following article originally appeared on the Asimov’s Addendum Substack and is being republished here with the author’s permission. Are LLMs reliable? LLMs have built up a reputation for being unreliable. Small changes in the input can lead to massive changes in the output. The same prompt run twice can give different or contradictory answers. […]

O'Reilly Radar — AI/ML
Dark Factories: Rise of the Trycycle
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Dark Factories: Rise of the Trycycle

The following article originally appeared on “Dan Shapiro’s blog” and is being reposted here with the author’s permission. Companies are now producing dark factories—engines that turn specs into shipping software. The implementations can be complex and sometimes involve Mad Max metaphors. But they don’t have to be like that. If you want a five-minute factory, […]

O'Reilly Radar — AI/ML
Comprehension Debt: The Hidden Cost of AI-Generated Code
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Comprehension Debt: The Hidden Cost of AI-Generated Code

The following article originally appeared on Addy Osmani’s blog site and is being reposted here with the author’s permission. Comprehension debt is the hidden cost to human intelligence and memory resulting from excessive reliance on AI and automation. For engineers, it applies most to agentic engineering. There’s a cost that doesn’t show up in your […]

O'Reilly Radar — AI/ML
Agents don’t know what good looks like. And that’s exactly the problem.
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Agents don’t know what good looks like. And that’s exactly the problem.

Luca Mezzalira, author of Building Micro-Frontends, originally shared the following article on LinkedIn. It’s being republished here with his permission. Every few years, something arrives that promises to change how we build software. And every few years, the industry splits predictably: One half declares the old rules dead; the other half folds its arms and […]

O'Reilly Radar — AI/ML
Architecture as Code to Teach Humans and Agents About Architecture
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Architecture as Code to Teach Humans and Agents About Architecture

A funny thing happened on the way to writing our book Architecture as Code—the entire industry shifted. Generally, we write books iteratively—starting with a seed of an idea, then developing it through workshops, conference presentations, online classes, and so on. That’s exactly what we did about a year ago with our Architecture as Code book. […]

O'Reilly Radar — AI/ML
The Cathedral, the Bazaar, and the Winchester Mystery House
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The Cathedral, the Bazaar, and the Winchester Mystery House

The following article originally appeared on Drew Breunig’s blog and is being republished here with the author’s permission. In 1998, Eric S. Raymond published the founding text of open source software development, The Cathedral and the Bazaar. In it, he detailed two methods of building software: The bazaar model was enabled by the internet, which […]

O'Reilly Radar — AI/ML
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