tag
#ai
gh-aw-fleet 0.2: cost and risk, fleet-wide →
The consumption rollup promised at launch shipped with a --budget flag, and the same fleet-wide view caught Renovate and Dependabot quietly fighting gh-aw's own pins.
ax-go 0.2 and 0.3: contracts worth pinning →
v0.2.0 split ax-go into contract packages you can import without the runtime; v0.3.0 added the coverage floors and compatibility matrix that keep them safe to pin.
agentic experience for Go →
ax-go is a Go library that makes CLIs predictable for LLM agents: trace IDs that cross the plugin boundary, one function behind the human table and the agent's JSON, and deterministic output.
introducing gh-aw-fleet →
Why I built a declarative fleet manager for GitHub Agentic Workflows: one fleet.json to deploy, sync, and track drift across every repo, plus what's shipped through v0.2.0.
where the on switch is →
On the gap between people deep in AI and people still looking for the on switch, and why I'm going to keep writing for both.
where did the knife come from →
A third-grade peanut butter sandwich assignment, and why it explains what people get wrong about prompt engineering.