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I ran /install-github-app on my own repo and ten minutes later a README PR was merged. The timings are the least interesting part — the write path, the commit attribution and whose rules the CI agent followed are better.
I pointed the new claude-security plugin at this very site. It spawned 82 agents, proposed 10 vulnerabilities, and then argued itself out of 9 of them. The one that survived was real — and it shipped to prod the same afternoon.
Traces, Tempo and the LGTM stack
If you distribute a Claude Code agent to a marketplace, every developer who runs it spends your reasoning budget and yours to answer for. Here is how I wired Claude Code's built-in OpenTelemetry into a Grafana/LGTM stack to watch cost, tokens and tool decisions — per run.
How I turned my repo's operational knowledge into custom Claude Code skills — /dev, /code-review, /ship — so any change goes from idea to verified-in-production in a single session, with me still on the trigger.
An evening climbing the loop ladder in Claude Code, from a one-shot fix to an unattended cloud routine. The lessons had nothing to do with the code and everything to do with how a loop stops: unenforceable budgets, self-writing reward hacks, and why a trapped loop cannot free itself.
Open Knowledge Format (OKF) is a dead-simple convention for storing durable, executable knowledge alongside your code — no database, no network, just markdown files your AI agent can read and act on.
I love how my site looks, so I taught Claude to build with it — extracting a live React app into a real design system on claude.ai/design, verified component by component.