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Software & DevOpsAny

Run parallel local coding agent sessions

A developer runs up to 10 coding agent sessions at once, using Claude Code and local models on RTX 3090s with cached contexts for daily development work.

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Use case overview

A developer runs up to 10 coding agent sessions at once, using Claude Code and local models on RTX 3090s with cached contexts for daily development work.

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Reported experience

  1. What they did

    Roark66 runs coding agents on RTX 3090s with 24GB each, using Claude Code alongside local models. They keep up to 10 agent sessions open at once, though never more than 5 are active at the same moment. Because they control inference, they keep full contexts cached in RAM and can save the cache to disk, so a session isn't re-read in full after sitting idle.

  2. How it went

    Holding about 15 full contexts cached in RAM pushes their local cache utilisation to 95% or more. They say their usage of roughly 1.3B input tokens a week would cost thousands of USD at API prices.

  3. Worth knowing

    Cloud caches expire after 5 minutes or 1 hour, so an idle 500k context gets billed as full input again; local caching avoids that, but you need enough RAM to hold the contexts.

Example prompts

Try with Claude Code
I want to work on [N] separate tasks in my repo at [path] at the same time. For each task, create its own git worktree and branch, work on it independently, run the tests, and summarize what changed. The tasks are: [task 1], [task 2], [task 3]. Stop when each branch has a passing diff ready for my review, and do not merge anything.

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