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We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack Dorsey cut 40% of Block’s workforce, telling shareholders that “intelligence tools have changed what it means to build and run a company.” Block’s stock rose […]
Scenario Planning for AI and the “Jobless Future” Read More »
The following article was originally published on Tim O’Brien’s Medium page and is being reposted here with the author’s permission. If you’ve spent any time around AI-assisted software work, you already know the moment when the Scope Creep Kraken first puts a tentacle on the boat. The project begins with a real goal and, usually, a sensible
This is the third article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, and look for the next article on April 23 on O’Reilly Radar. Here’s the dirty secret of the AI coding revolution: most experienced developers still don’t really trust the code the AI writes for
AI Is Writing Our Code Faster Than We Can Verify It Read More »
I can’t claim to be a professional software developer—not by a long shot. I occasionally write some Python code to analyze spreadsheets, and I occasionally hack something together on my own, usually related to prime numbers or numerical analysis. But I have to admit that I identify with both of the groups of programmers that
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
Comprehension Debt: The Hidden Cost of AI-Generated Code Read More »
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
Agents don’t know what good looks like. And that’s exactly the problem. Read More »
The current conversation about AI in software development is still happening at the wrong layer. Most of the attention goes to code generation. Can the model write a method, scaffold an API, refactor a service, or generate tests? Those things matter, and they are often useful. But they are not the hard part of enterprise
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.
Architecture as Code to Teach Humans and Agents About Architecture Read More »
Farewell, Anthropocene, we hardly knew ye. AI is here. It’s won. Yes, it’s in that awkward teenage phase where it still says inappropriate things, dresses funny, and sometimes makes shit up when it shouldn’t. But zomg the things it can do. This kid is going places, that much is abundantly clear. The AI assistant and
Posthuman: We All Built Agents. Nobody Built HR. Read More »
I sat down with Aaron Levie at the O’Reilly AI Codecon two weeks ago. Aaron cofounded Box in 2005, and 20 years later, his company manages content for about two-thirds of the Fortune 500. Aaron is one of the few CEOs of an incumbent enterprise software company thinking deeply in public about what AI means
