Show HN: Fleet – Python supervisor for running coding agents in parallel
A developer has created a Python supervisor named Fleet to manage multiple coding agents in parallel. Fleet allows users to run coding sessions efficiently by utilizing a centralized database and supporting various coding models. The tool is designed to streamline task management and improve coding quality across sessions.
- ▪AMD reported a bug regarding coding quality while using Claude Code sessions.
- ▪Fleet supports three coding agents: Claude, Agy, and Codex, with easy integration for new agents.
- ▪The tool allows users to configure the maximum number of concurrent coding sessions and manage tasks effectively.
Opening excerpt (first ~120 words) tap to expand
AMD submitted a bug on the Claude Code repo where they complained about coding quality and described that they are running a fleet of 50+ Claude Code sessions using beads — https://github.com/anthropics/claude-code/issues/42796. This was pretty exciting; I was curious how it could be done. It turned out to be simpler than it looks.First I created a simple multi-session implementation using beads and a bit of bash only — https://news.ycombinator.com/item?id=48204719. A bash loop monitors the beads queue, claims a task, and passes it into claude -p.This worked fine, and I decided to make the implementation more capable, so I created fleet — a Python supervisor for running coding agents in parallel: https://github.com/sermakarevich/fleet.A few core ideas:- The beads DB is centralized — it…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.