Experience Report

2026-04-16 • 3 min read

This is a short experience report about building a tiny TUI/CLI to inspect configured agents and model assignments in Opencode. I wanted a simple way to see which models were configured on which (sub)agents and their relative costs. I also did not want to spend much time building…

2026-03-11 • 10 min read

LLMs can draw diagrams, but you get better results with a conceptual model, a validation loop, and a lightweight verification pass against the codebase than with free-form diagramming. I used the C4 model extensively to map architecture landscapes. Last week I saw an opportunity …

2026-03-02 • 1 min read

Skills are a great way to introduce capabilities in your agent flows. To support my "The Day I Learned" repository and website, I created a skill to extract learnings from coding and LLM sessions. The skill below is installed in my global agent settings (AGENTS.md), and from each…

2026-03-01 • 5 min read

This is an experience report on updating my (this!) website using coding agents and Beads ('a distributed, git-backed graph issue tracker for AI agents.'). Site update using coding agents Over the past week, I used coding agents to update my website. The result is, at least I hop…

2026-02-04 • 5 min read

This is a short experience report about using skills (with Codex and its models) to build a personal AI assistant that helps me maintain my time-tracking log. To set expectations: the assistant does not manage my calendar or tasks. It helps me keep a time-tracking log that lives …

2025-12-18 • 6 min read

This is a short post to share a positive experience I had using an LLM agent to quickly add a feature to an existing personal CLI time-tracking application. Below, I describe how I added it using Zed, Opencode and Claude. To start, I wasn't even sure the feature I needed existed …