Notes on Visual Interfaces, AI Tooling, Fast LLMs and Decision Models
Why agentic work is stuck in text, and what canvases, fast models, branching version graphs, and decision models might add.
8 posts
An experiment in interactive explainers: drone control, Fourier, Bret Victor, philosophical prompts, accessibility, and learning with LLMs.
Practices around context, uncertainty, and evals are hardening into a discipline, with belief states at its centre: probabilistic, grounded views of a work process.
When working with agentic tools, the instinct to solve hard problems inside your main project is usually wrong. Isolate the core problem first, experiment freely, then bring what works back.
Structural patterns that make codebases easier for AI agents to navigate: composition over monoliths, stateless mini-CLIs, typed languages, and the editor navigation test.
How Claude Code and similar tools can handle the tedious work of expanding concepts into multiple flashcards, and why Anki Connect is the key to making it work.
A thin wrapper around native commands to simplify port checking and process management during local development.
Reflecting on the foundational layers of agentic systems, from Git workflows and networking to storage and sandboxing, rather than high-level orchestration.