Topics / Agents
Agents
7 pieces touching Agents, newest first.
- The Fail-Open I Shipped Three Times
A completeness check that had to be safe over time, three state machines that each leaked a fail-open, and the pure function that finally fixed it.
- Ground-Truthing Your LLM Judge: Does Your Eval Actually Track Reality?
LLM-as-judge is the default eval now, but a judge is just another unreliable model. Here is how to check whether its verdicts correlate with real outcomes, and catch the leniency bias most judges have.
- The Agent Harness Ate My Workflow
A year ago I kept a 6,000-line migration coherent with a hand-maintained progress file. Most of that scaffolding now ships inside the agent CLIs. Here is what the harness absorbed, and the part it still cannot.
- I Built 50 AI Skills for the Parts of My Day I Never Got Around To
The biggest productivity gap is the work around the code: context gathering, note-taking, and status updates. I built 50 AI workflow skills to make those 15-minute tasks actually happen every day.
- Use /insights to Improve Your Claude Code Setup
I ran /insights in Claude Code and walked through what it found - friction patterns I hadn't noticed, CLAUDE.md rules I should have written weeks ago, and what changed after I applied the suggestions.
- Claude Code: The Hidden Testing Ground for AI Agents
I've been using Claude Code daily since it launched for general use. After months of working with it, I've developed a theory about what's actually…
- Staying Sane on a 6,000-Line Refactor with Claude Code
As large language models become more capable, it's tempting to rely on them for increasingly complex engineering tasks. Tools like Anthropic's Claude Code…