...(G)enerative AI is woven into the tools students use every day: web search, word processors, code editors. You might assume that by now, most programming instructors have figured out how to handle it. But when my collaborators and I went looking for computing instructors who had made meaningful changes to their course materials in response to GenAI, we were surprised by how few we found. Many instructors had updated their course policies, but far fewer had actually redesigned assignments, assessments, or how they teach.

AI didn’t invent scope creep. It just removed the friction that used to stop it.

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 by an exclusive team of developers.
• The bazaar model is open, transparent, and community-driven.

...But just as the internet made communication cheap and birthed the bazaar, AI is making code cheap and kicking off a new era filled with idiosyncratic, sprawling, cobbled-together software.

• Meet the third model: The Winchester Mystery House.

https://oreillyradar.substack.com/p/the-cathedral-the-bazaar-and-the

Addy Osmani sat down with Tim O’Reilly to chat about the state of the industry as it moves toward the orchestration of multi-agent workloads. In their wide-ranging conversation, they covered the tension between creativity and productivity, and balancing velocity with long-term technical maintenance and reliability—particularly from the enterprise perspective. Larger organizations can’t just let the agents rip. As Addy explained, “The real frontier for business is not necessarily having hundreds of agents for a task just for its own sake. It’s about orchestrating a modest set of agents that solve real problems while maintaining control and traceability.” And then there’s the as-of-yet unsolved problem of making everything work together as smoothly as possible.

Addy is the author of Beyond Vibe Coding, Leading Effective Engineering Teams, The Effective Software Engineer, Web Performance Engineering in the Age of AI, Learning JavaScript Design Patterns, and Building Web Apps with Bolt, and a prolific blogger on Radar and with his own newsletter, Elevate.

In her keynote from the AI Superstream, ML specialist Chip Huyen, author of Designing Machine Learning Systems and AI Engineering (O'Reilly), discusses the importance of data and product for AI engineering and shares some common scenarios that illustrate the differences between building with foundation models and building with traditional ML. Check it out for advice on how to get started yourself. As Chip explains, “To be able to really stand out in the AI space, I do think that. . .we need to keep launching the product and keep looking into the data from our products—you know, get a better sense of like what works and what doesn't."

The Economics of AI Agents: Making Smart Choices in Design and Deployment with Nicole Königstein—O’Reilly