I Shipped 6 Developer Tools in One Day Using an AI Agent Fleet

#ai #productivity #opensource #buildinpublic

Today I shipped 6 developer tools across 4 different platforms. Not by hand — by running an AI agent fleet that builds, promotes, and monitors autonomously.

The Fleet

I run OpenClaw, an open-source AI orchestration framework. My setup:

Rhodes (Opus) — Agency manager. Plans, delegates, validates.
Revenue Builder (Gemini Flash) — Builds tools every 4 hours.
Growth Agent (Gemini Flash) — Monitors metrics, promotes content every 3 hours.
Content Machine (Gemini Flash) — Writes Dev.to articles every 6 hours.
SEO Outreach (Gemini Flash) — Community engagement every 8 hours.
Product Scout (Gemini Flash) — Researches new opportunities twice daily.

All running on cron. 24/7. Cheap models for execution, expensive model for strategy.

What Got Shipped

#	Product	Platform	Time to Ship
1	workflow-guardian	GitHub Marketplace	~30min
2	test-results-reporter	GitHub Actions	~20min
3	pr-size-labeler	GitHub Actions	~15min
4	stale-branch-cleaner	GitHub Actions	~15min
5	changelog-generator	GitHub Actions	~15min
6	Workflow Linter	VS Code	~20min

Plus a CLI tool (ghact), a Gumroad PDF product, and 5 Dev.to articles.

How It Works

The key insight: use expensive AI for thinking, cheap AI for doing.

Rhodes (Claude Opus) decides what to build and how to promote it. The fleet agents (Gemini Flash) execute. Each agent has a focused workspace with clear instructions and a single job.

When I say "diversify" — Rhodes spins up new agents for new channels. When I say "keep building" — the revenue builder picks the next item from its backlog and ships it.

Lessons Learned

Agent timeouts matter. My growth agent kept dying at 120s. Had to simplify its prompt.
Dog-food immediately. I added workflow-guardian to 17 of my own repos. Real usage > fake demos.
Cross-promote everything. Every article links to every tool. Every README links to the toolkit.
Ship first, polish later. None of these are perfect. All of them work.