Earlier quoted context omitted.
It _does_ use up tokens incredibly fast, which is probably why Anthropic is developing this feature. This is mostly for corporations using the API, not individuals on a plan.
I'd love to see a breakdown of the token consumption of inaccurate/errored/unused task branches for claude code and codex. It seems like a great revenue source for the model providers.
Orchestrate teams of Claude Code sessions
111–120 of 238 posts
Re: Orchestrate teams of Claude Code sessions
#112Earlier quoted context omitted.
You write a generic architecture document on how you want your code base to be organized, when to use pattern x vs pattern y, examples of what that looks like in your code base, and you encode this as a skill. Then, in your prompt you tell it the task you want, then you say, supervise the implementation with a sub agent that follows the architecture skill. Evaluate any proposed changes. There are people who maximize…
How does this not use up tokens incredibly fast though? I have a Pro subscription and bang up against the limits pretty regularly.
Re: Orchestrate teams of Claude Code sessions
#113Earlier quoted context omitted.
yeah, seems like a much simpler design though (i.e. only seems like one 'special/leader' agent, and the rest are all workers vs gastown having something like 8 different roles mayor, polecat, witnesses, etc). Wonder how they compare?
i would have to imagine the gastown design isn't optimal though? why 8, and why does there need to multiple hops of agent communications before two arbitrary agents communicate with each other as opposed to single shared filespace?
Re: Orchestrate teams of Claude Code sessions
#114Earlier quoted context omitted.
Compare both approaches to mature actor frameworks and they don’t seem to be breaking much ice. These kinds of supervisor trees and hierarchies aren’t new for actor based systems and they’re obvious applications of LLM agents working in concert. The fact that Anthropic and OpenAI have been going on this long without such orchestration, considering the unavoidable issues of context windows and unreliable self-validati…
If it was so obvious and easy, why didn't we have this a year ago ? Models were mature enough back then to make this work
As usual, the hard part is the actual doing and producing a usable product.
Re: Orchestrate teams of Claude Code sessions
#115I’m looking for something like this, with opus in the driver seat, but the subagents should be using different LLMs, such as Gemini or Codex. Anyone know if such a tool? just-every/code almost does this, but the lead/orchestrator is always codex, which feels too slow compared to opus or Gemini.
https://github.com/FredericMN/Coder-Codex-Gemini https://github.com/fengshao1227/ccg-workflow
This one also seems promising, but I haven't tried it yet.
https://github.com/bfly123/claude_code_bridge
All of them are made by Chinese dev. I know some people are hesitant when they see Chinese products, so I'll address that first. But I have tried all of them, and they have all been great.
Re: Orchestrate teams of Claude Code sessions
#116I’m looking for something like this, with opus in the driver seat, but the subagents should be using different LLMs, such as Gemini or Codex. Anyone know if such a tool? just-every/code almost does this, but the lead/orchestrator is always codex, which feels too slow compared to opus or Gemini.
Re: Orchestrate teams of Claude Code sessions
#117Assign roles to different models and have them coordinate: Claude as the lead, Codex on backend, Gemini on frontend, etc.
I wrote about my experiences with multi-agent orchestration here: https://x.com/khaliqgant/status/2019124627860050109?s=46
Re: Orchestrate teams of Claude Code sessions
#118Re: Orchestrate teams of Claude Code sessions
#119Earlier quoted context omitted.
You write a generic architecture document on how you want your code base to be organized, when to use pattern x vs pattern y, examples of what that looks like in your code base, and you encode this as a skill. Then, in your prompt you tell it the task you want, then you say, supervise the implementation with a sub agent that follows the architecture skill. Evaluate any proposed changes. There are people who maximize…
Aren't you just moving the problem a little bit further? If you can't trust it will implement carefully specified features, why would you believe it would properly review those?
So the LLM will do something and not catch at all that it did it badly. But the same LLM asked to review against the same starting requirement will catch the problem almost always
The missing thing in these tools is that automatic feedback loop between the two LLMs: one in review mode, one in implementation mode.
Re: Orchestrate teams of Claude Code sessions
#120Earlier quoted context omitted.
There is research[0] currently being done on how to divide tasks and combine the answers to LLMs. This approach allows LLMs reach outcomes (solving a problem that requires 1 million steps) which would be impossible otherwise. [0] https://arxiv.org/abs/2511.09030
All they did was prompt an LLM over and over again to execute one iteration of a towers of hanoi algorithm. Literally just using it as a glorified scripting language: ``` Rules: - Only one disk can be moved at a time. - Only the top disk from any stack can be moved. - A larger disk may not be placed on top of a smaller disk. For all moves, follow the standard Tower of Hanoi procedure: If the previous move did not mov…