artificial intelligence

When I talk to people about what I'm building, I give 'em the pitch on Docket being a note taking system specifically designed for regular meetings.

As a software engineer, how well do you have to understand your own codebase?

A bunch of reasons to write code in 2026

For those of you who don’t know, when I’m not writing novels, I spend my days as a software engineer, writing code. The software industry these days relies heavily on artificial intelligence. Because it has studied trillions of lines of publicly accessible source code, because code solves problems with testable right and wrong solutions, and because code is structured specifically to be understood by computers, AI has gotten very good at writing code.

At a Shift CTO Craft dinner in Toronto, senior engineering leaders debated AI ROI, code review bottlenecks, hiring, cognitive debt, and vendor lock-in.

If you lived through the shift from handcrafted server pets to immutable infrastructure, you should sense something oddly familiar about what's happening now.

A “brief” accounting of various reasons why vibe coding has just never clicked for me personally as a developer.

Right now, it's too easy to let AI write the code while you skip the learning. The bug gets fixed. Your mental model doesn't move. We are silently trading fu...

Every AI lab is losing money serving your company right now. They know it. And they are doing it on purpose.

TL;DR. Claude would rather reinvent the wheel than pip install one.

There is an extremely important question about the near-future of AI that almost no-one is asking. We’ve all seen the graphs from METR showing that the length of tasks AI agents can perform has been growing exponentially over the last 7 years. While GPT-2 could only do software engineering tasks t

Vercel Security Checkpoint

ai is here. so i'm spending 3 months coding the old way

Does AI-assisted cognition threaten human development? Explore the risks of AI-assisted thinking and learn strategies to use AI tools without freezing your critical thinking.

Are people using AI, or is the organization learning from it? What changed because we spent those tokens? And who moves discoveries from individuals to teams to organizational capabilities?

Guidelines for programming when code is cheap.

Read about the .

For eight years, I’ve wanted a high-quality set of devtools for working with SQLite. Given how important SQLite is to the industry1, I’ve long been puzzled that no one has invested in building a really good developer experience for it2. A couple of weeks ago, after ~250 hours of effort over three months3 on evenings, weekends, and vacation days, I finally released syntaqlite (GitHub), fulfilling this long-held wish. And I believe the main reason this happened was because of AI coding agents4. Of course, there’s no shortage of posts claiming that AI one-shot their project or pushing back and declaring that AI...

Everyone's worried about slop, but good code will prevail, not only because we want it to, but because economic forces demand it.