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.
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Record
| Original publisher | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=48256389 |
| Publication time | Sun, 24 May 2026 11:21:44 +0000 |
| Retrieval time | 2026-05-24T11:37:32.397Z |
| Last seen | 2026-05-24T11:37:32.397Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | lKYRGqU7YxJC · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.