Posts
Longer reflections and practical guides from using AI tools.
Breaking Up with Beads
Notes and commands from migrating a project from Beads to Taskgraph.
msgvault demo, inference.sh and pi.dev
Wes McKinney’s msgvault, the inference-sh Agent Platform, and the Launch of Pi.dev (back in early Feb)
The Design Repo Pattern: Keep Your Inspiration Separate from Your Code
A simple way to keep design research and experiments separate from an application's implementation repository.
Why Writing Hasn't Had Its Claude / Codex Moment (Yet)
AI-native coding tools have transformed how developers work. Writing — essays, books, screenplays, courses — deserves the same thing. Here's what exists, what's missing, and what you can do today.
OpenClaw: What It Is, Why It Matters, and What We’re Learning
A quick update on experimenting with OpenClaw, autonomous AI agents, and some early lessons around security and deployment.
OpenClaw: What It Is, Why It Matters, and Early Lessons on Security
An introduction to OpenClaw agents and early lessons about deploying them securely.
kapa.ai: AI assistants for docs
NB: i haven’t tried it myself yet but seems the future for docs search in a docs site though don’t know how much that will be used vs…
🤔 looking for a new AI-oriented terminal
Doing a plenty of AI related coding and finding the default apple terminal a pain
Launching: AI, Tried Today
Why I’m starting a small, public journal of learning to use AI.
How do you handle the "pre-work" phase without gunking up your repository?
Where to dump the early design experiments and research that go into a project or a major new feature? Do I put it in a branch, or just pull the trigger on a separate repo?