LLM agents in the engineering loop
Deployed MCP-integrated LLM agents that automate triage, docs, and first-pass code review, plus multi-LLM workflows that dispatch Claude, Codex, and Gemini in parallel for reviews and plans.
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Deployed MCP-integrated LLM agents that automate triage, docs, and first-pass code review, plus multi-LLM workflows that dispatch Claude, Codex, and Gemini in parallel for reviews and plans.
10 min readEvery study of AI and developer productivity measures how long a task took. That number stops meaning anything the moment you run five sessions across four repos. I went looking for research on people who work this way and found one note, seven people, and an author begging me not to build on it.
12 min readContext rent: every mounted tool schema charges you on every turn, called or not. My admin plane fronts a drifting capability catalog with one read-only ask tool and makes a disposable sub-agent pay the discovery bill.
12 min readThe honest anatomy of my cross-vendor review fleet: three model vendors under three GitHub Apps, a 21-subagent full matrix, a Gemini that spent three months benched, and a house rule that no finding ever gets lost.
13 min readMy second brain is 211 Markdown files in a git repo. Machines committed to it 930 times in three weeks, the engine on top was rewritten from scratch, and not one note was lost. The mechanism, the gates that make direct-to-main sane, and the one-commit blast radius.
13 min readI replaced my 85,000-line Python admin toolkit with a single Go module. One capability registry, three transports, guardrails stamped across 40 connectors. The real numbers, the mechanism, and what the rewrite cost.
6 min readThe ladder deal says you trade the keyboard for the org chart and never get the keys back. Agents rewrote that clause. Typing got cheap. Judgment didn't, and a decade of management sharpens exactly the half that got expensive. The receipts are one link away.