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Comment on Show HN: Fleet – Python supervisor for running coding agents in parallel

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The parallel-agent angle is interesting. In practice the hard part for me is deciding when agents should share state versus stay isolated. Does Fleet keep per-agent logs and failure reasons separate enough to compare runs after the fact?

I think it does, yes. Logs are written in:

(base) ~ tree ~/.fleet/tasks

/Users/makarevychsergii/.fleet/tasks

├── fleet-0a5

│ ├── artifacts

│ │ ├── KNOWLEDGE.md

│ │ └── PLAN_AND_STATUS.md

│ ├── events.jsonl

│ ├── log.jsonl

│ ├── log.stderr

│ └── task.json

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