Technical insights into multi-agent orchestration, local protocols, and
developer-centric terminal workflows.
Build your review as a headless command with an explicit tool allowlist, and the exact check you run by hand becomes the exact gate that runs on every pull request. One definition of 'acceptable,' two surfaces.
Ship your team's recurring workflows as server-side MCP prompts that pre-load their own data as embedded resources. A teammate types a slash command, fills one argument, and gets an expert prompt with the context already attached.
Every failed agent session is a labeled example of where your context falls short. Capture them, cluster them, and fix the top category once in your rules file instead of re-correcting it forever.
A rules file is write-once and rots; auto-memory saves corrections but on its own judgment, in its own store. Add the human-gated curation layer the vendors leave open: a command that counts corrections and proposes durable edits, a hook that resolves conflicts, so corrections compound instead of contradicting.
An agent reviewing its own plan shares its own blind spots. Wire a different vendor's model in as a deterministic gate, and a fail verdict re-engages planning before a line of code exists.
Your debugging ability isn't intelligence, it's a procedure — and procedures are exactly what you can write down once and hand to an agent. Bootstrap the whole library with a meta-skill.
Reviewing irreversible actions after the fact is too late. Split tools by reversibility in permissions, force a plan, and gate the destructive step behind a human interrupt — autonomy on reads, a hard stop on anything you can't undo.
Vague prompting isn't a skill gap you fix by writing longer prompts. It's a missing shared vocabulary — and the fix is a committed glossary, not a personal habit.
The codebase is the strongest steering signal you have — stronger than your prompt or your rules. So pay the exploration cost once, freeze it into a file, and feed it to every run.
You don't author a skill from a blank page. You send a subagent to research the problem once, and the research becomes the skill — a build artifact, not a document.