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There is more technical content available today than any human being could read in a thousand lifetimes. Every topic has a dozen YouTube videos, three Substack posts, a GitHub repo, and a Reddit thread, most created in the last six months and, in many cases, technically accurate. And yet most of the professionals I talk […]
The following article originally appeared on Addy Osmani’s blog and is being republished here with the author’s permission. In the past year, the conversation around agentic engineering has moved to harnesses and loops, fleets and software factories. My 2 cents is engineers need to own the outer loop—the accountability for these systems. This only gets
The following article originally appeared on Sean Goedecke’s blog and is being republished here with the author’s permission. In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleague or just hope that the answer to your exact problem was out there on the
AI is changing how fast organizations can move. Ideas that used to take months to build now take days, sometimes hours. That sounds like good news, and it is. But it creates a new problem. When execution is fast, teams can move in many directions at once. Marketing can ship a new campaign, product can
Experience Mapping Matters More the Faster You Move Read More »
As a software engineer with more than seven years of experience before the coding-agent era, I never liked the idea of vibe coding. But I knew there was a clear line between it and using coding agents to generate clean, maintainable code. That line, where good software principles meet coding agents, is defined by software
Sometime in the next few months, Anthropic is supposed to send me a check. Around $9,000 for me, about the same for my longtime coauthor Jenny Greene, and roughly $18,000 for O’Reilly, our publisher. The reason is that pirated copies of the books Jenny and I wrote, along with a huge amount of other people’s
Between March and July 2026, I built a production application of 861,601 lines of code. This included 696 user stories and 779 merged pull requests over 105 days, but I can’t tell you what it cost. The first version of an autonomous SDLC framework driving Claude Code did the work. That generation didn’t record usage,
What a User Story Actually Costs in a Dark Code Factory Read More »
Consider a composite of a failure pattern that’s becoming increasingly common on teams that have scaled AI-assisted development past a handful of enthusiasts. A staff engineer named Priya opens a pull request. The PR is 340 lines and adds an endpoint that writes to the customer table directly, bypassing the internal customer service API. The
The following article originally appeared on Tim O’Brien’s Medium blog and is being republished here with the author’s permission. AI costs are easy to count and hard to understand, and judging effort by a token volume? While that might feel like a valid measure of value or complexity, it doesn’t capture the details that define
A lot of professional writers say they never do it. And for writers who do, the consequences can be serious. Book contracts have been withdrawn. People have lost jobs. I have a contrarian view. I say AI is a medium, like painting, sculpture, photography, music, or language itself. If AI is a medium, it is
