Yeah it was a "HOLY SHIT" moment for me when I first started experimenting with subagents. A step-change improvement in productivity for sure. They combine well together with Claude Code's built-in todo tool, and together really start to deliver on the promised goal of automating development. Watching it delegate to subagents and then seeing the flow of information back and forth is amazing.
One thing I forgot to mention -- I run Claude within a simple sandboxed dev container like this: https://github.com/maaku/agents/tree/main/.devcontainer This allows to safely run with '--dangerously-skip-permissions' which basically gives Claude free reign within the docker container in which it is running. This is what lets you run without user interaction.
When you say "run something basic in a home lab" do you mean local inference? Qwen3-Coder is probably the model to use if you want to go that route. Avoid gpt-oss as they used synthetic data in their training and it is unlikely to perform well.
I'm investigating this as well as I need local inference for some sensitive data. But honestly, the anthropic models work so well that I justified getting myself the unlimited/max plan and I mostly use that. I suspect I overbought -- at $200/mo I have yet to ever be rate limited, even with these long-running instances. I stay within the ToC and only run 1-2 sessions at a time though.
Yeah it was a "HOLY SHIT" moment for me when I first started experimenting with subagents. A step-change improvement in productivity for sure. They combine well together with Claude Code's built-in todo tool, and together really start to deliver on the promised goal of automating development. Watching it delegate to subagents and then seeing the flow of information back and forth is amazing.
One thing I forgot to mention -- I run Claude within a simple sandboxed dev container like this: https://github.com/maaku/agents/tree/main/.devcontainer This allows to safely run with '--dangerously-skip-permissions' which basically gives Claude free reign within the docker container in which it is running. This is what lets you run without user interaction.
When you say "run something basic in a home lab" do you mean local inference? Qwen3-Coder is probably the model to use if you want to go that route. Avoid gpt-oss as they used synthetic data in their training and it is unlikely to perform well.
I'm investigating this as well as I need local inference for some sensitive data. But honestly, the anthropic models work so well that I justified getting myself the unlimited/max plan and I mostly use that. I suspect I overbought -- at $200/mo I have yet to ever be rate limited, even with these long-running instances. I stay within the ToC and only run 1-2 sessions at a time though.