Do frameworks matter anymore?
How abstractions constrain AI agents, helping engineering teams evaluate long-term web architecture choices.
How abstractions constrain AI agents, helping engineering teams evaluate long-term web architecture choices.
The excuse for not regulating AI is that nobody can agree how. The people who built the internet would find that laughable.
Teach your coding agent Border beam, Thinking orbs, Gooey, Voice, Bot avatars, Liquid metal and Image.
Is AI as interesting as what it helps you do? I don’t think it is, and I mean that as a compliment.
Fullscreen shaders, compute pipelines, raw WebGPU interop, and read-only source files compiled directly by this docs app.
Earlier this year, I believed planning was going to become the most important part of building software with AI.
As AI makes it easier to build, how do we keep products from becoming generic “zombie UI”?
You know that feeling when you leave a meeting and immediately forget half of what you agreed to?
The pervasiveness of tools may have implanted the wrong instinct in our heads in a world of AI.
When numbers do not match the fear, and where fear should be aimed.
Open-source animated pets for coding agents. Browse pets, preview their animations, and install one with a single command.
AI-agent power users curate 3 kinds of context: global (across tasks), local (task-specific), and ambient (raw streams like email).
A practical guide to auditing what your coding agent still needs.
The Anthropic Economics Team models the effects of AI on the economy of 2030.
The case for a nature model that learns the state and dynamics of the planet itself.
Notes, actions and memory. Without a meeting bot.
How a career of building creative teams and design systems led to AI tools that increase speed without lowering the quality bar.
Human factors has reinvented itself every decade since Bell Labs, the oldest lessons are the ones pointing the way forward.
Or, perhaps the problem isn’t that AI has broken code review, maybe it’s that we’ve been using code review to solve the wrong problems
Understanding agent orchestration economics, model capability thresholds, token burn rates, and structural failure modes.