From Apple Silicon to NVIDIA AI Factories
Revisiting a 2020 Apple Silicon and AR prediction in a world where NVIDIA, AI accelerators, software ecosystems, and electricity define the next computing platform.
Experiments with agents and software tools, centered on observed changes in real work.
8 posts
Revisiting a 2020 Apple Silicon and AR prediction in a world where NVIDIA, AI accelerators, software ecosystems, and electricity define the next computing platform.
For thirty years we optimized software to be easy for a human hand. Agents invert that goal. The graphical interface is turning from the thing you drive into the thing you read, and the tools that survive the shift are the ones an agent can talk to.
Nine years of work notes, from sort-of-daily Markdown files in 2017 to monthly Word docs to a single yearly running document, and how AI agents finally took over the writing through worklogs.
A practical guide to choosing programming languages for frontend, CLI, and server development with decision matrices that account for modern LLM-assisted development.
How worklogs transformed my workflow with AI coding agents (capturing context across sessions, using GitHub Issues as a backend, and turning structured logs into an agentic work queue).
Reflecting on my experience using AI coding tools since Claude Opus 4.5, contrasting Rust and scripting language development, and insights on multi-agent workflows.
A deep dive into how a keyboard configuration project evolved from manual Go programming to agent-assisted development, and the surprising realization that having agents make direct changes is simpler than writing code to automate everything.
How this entire blog system was created using AI agents, including the technical implementation, content creation, and instructions for adding new posts.