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For years, persuasion has been the most valuable skill in digital commerce. Brands spend millions on ad copy, testing button colours, and designing landing pages to encourage people to click “Buy Now.” All of this assumes the buyer is a person who can see. But an autonomous AI shopping agent does not have eyes. I […]
This is the third article in a series on agentic engineering and AI-driven development. Read part one here, part two here, and look for the next article on April 15 on O’Reilly Radar. The toolkit pattern is a way of documenting your project’s configuration so that any AI can generate working inputs from a plain-English description.
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 cathedral model is carefully planned, closed-source, and managed
The Cathedral, the Bazaar, and the Winchester Mystery House Read More »
The following article originally appeared on Medium and is being republished here with the author’s permission. Ask 10 developers which LLM they’d recommend and you’ll get 10 different answers—and almost none of them are based on objective comparison. What you’ll get instead is a reflection of the models they happen to have access to, the
The Model You Love Is Probably Just the One You Use Read More »
On February 10, 2026, Scott Shambaugh—a volunteer maintainer for Matplotlib, one of the world’s most popular open source software libraries—rejected a proposed code change. Why? Because an AI agent wrote it. Standard policy. What happened next wasn’t standard, though. The AI agent autonomously researched Shambaugh’s code contribution history and published a highly personalized hit piece
On February 10, 2026, Scott Shambaugh—a volunteer maintainer for Matplotlib, one of the world’s most popular open source software libraries—rejected a proposed code change. Why? Because an AI agent wrote it. Standard policy. What happened next wasn’t standard, though. The AI agent autonomously researched Shambaugh’s code contribution history and published a highly personalized hit piece
The following article originally appeared on Medium and is being reproduced here with the author’s permission. This 2,800-word essay (a 12-minute read) is about how to survive inside the AI revolution in software development, without succumbing to the fear that swirls around all of us. It explains some lessons I learned hiking up difficult mountain
The following article originally appeared on Q McCallum’s blog and is being republished here with the author’s permission. Generative AI agents and rogue traders pose similar insider threats to their employers. Specifically, we can expect companies to deploy agentic AI with broad reach and insufficient oversight. That creates the conditions for a particular flavor of
The following article originally appeared on Q McCallum’s blog and is being republished here with the author’s permission. Generative AI agents and rogue traders pose similar insider threats to their employers. Specifically, we can expect companies to deploy agentic AI with broad reach and insufficient oversight. That creates the conditions for a particular flavor of
The following article originally appeared on Hugo Bowne-Anderson’s newsletter, Vanishing Gradients, and is being republished here with the author’s permission. In this post, we’ll build two AI agents from scratch in Python. One will be a coding agent, the other a search agent. Why have I called this post “How to Build a General-Purpose AI
How to Build a General-Purpose AI Agent in 131 Lines of Python Read More »
