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> So this is just delegating certain work to dumber models? I certainly wouldn't use Gemini 2.5 Flash (!!?) for code writing as suggested.

Why not, though? I started using OpenCode + GitHub Copilot, but I burned through my Claude Sonnet quota in just three days. I switched to GPT-5.4-mini, which uses far fewer tokens, and it’s often just as good as Sonnet. I think optimizing token usage is a good exercise. We often assume a model will be terrible, when it really isn’t.



My code being correct 99% of the and costing 5x more tokens is vastly preferable to my code only being correct 90% of the time and using fewer tokens.


This is true, but with the newer generation of models you don't want to do this yourself, they're really good at orchestrating and triage. Run Fable or Astra on low/medium, and tell them to come up with a plan then direct subagents using a weaker model (I like GPT 5.6 terra medium) to implement and verify, and review their work.


> and it’s often just as good as Sonnet. I think optimizing token usage is a good exercise. We often assume a model will be terrible, when it really isn’t.

“Often” doesn’t sound great. If the smaller model fails then I just wasted a lot of time and tokens.




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