Comment by glub

2 days ago

I don't know how anyone can actually use Luna max on ANY real workload. I've had Sol orchestrate a bunch of Luna agents, these agents were explicitly given small chunks of larger objectives and they still filled their entire context windows with just reasoning tokens, until compaction hit, and then reasoning again.

I've probably wasted a good 40% of my weekly usage on Luna Max agents just thinking and not writing a single line of code.

The one time I tried asking Sol to use subagents for a small project, it took a surprisingly long time, used up the entire usage limit in one go, and basically failed the project.

I’m pretty sure that plain Sol, serially, could have finished the task faster, cheaper, and far more accurately. I’m also pretty sure that any competent subagent orchestration could have gotten it done with even very simple subagents quickly and cheaply.

(Is it really that hard to set up a handful of subagents that all use the same initial context and to load that context with what actually matters? The APIs certainly support it.)

  • OpenAI has been doing wonky stuff with subagents, including encrypting the prompts sent to subagents in Codex. Who knows what’s really going on.

I only use Luna (max), I find it very rarely just reasons. In fact, I find it reasons too little.

If your code is complex enough for Luna Max to fail maybe you need to write a bit yourself so they can copy your idea

I've had the same observation that Luna will quickly fill up its context window with reasoning, but it surprisingly hasn't been a problem really.

It will cycle through like 3 /compacts, complete the complex goal successfully, and cost me like 1% of my weekly usage on the $20 plan.

Edit: this is me using Luna directly, not Sol as the taskmaster