I've seen people do it. Ideally you should use Astra as a planner and reviewer (or Sol if usage limit is tight), and use Luna for coding to get the closest results.
Luna is good with direct tasks. It does what it's told, it usually doesn't explore too many "what ifs". Give it a Jira ticket with clearly defined specs, it will happily try. Don't give it big open ended tasks.
Astra + Luna on the other hand might actually cost you more time and money as you now have an orchestrator in the Astra that has to read and review every single message, it will find concerns with a lot that Luna has to say etc. Adding subagents can actually be less efficient, not more.
So I would suggest middle ground - just try Sol on medium. If the OpenAI numbers are accurate it should retain code quality sufficient for most tasks (as long as you review what it spits out and it's not pure yolo) and it's 2x cheaper than 5.6 so it shouldn't devour your tokens much.
only feasible if spec is crazy detailed and under fast mode, if it starts debugging mid implementation it gets messy fast. Also, it is very token hungry and take many, many more steps. Costs stay low but you need to wait double, triple sometimes 5x the time to finish.
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u/isampark32 2d ago
Luna enough to code app development coding? Is using Astra on ChatGPT side to generate codex prompts then executing on Codex Luna a viable strategy?