Do you use one AI model for everything or switch when things get messy?
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For basic UI tweaks and standard CRUD endpoints lighter models are great because they keep the momentum going instantly.
But the second a weird async bug or race condition pops up those fast models usually just loop in circles until I manually switch to a heavy reasoning model.
Curious how others work do you stick to a single model for the whole project, or do you swap them depending on the task at hand?
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A syntax error is fine to debug. The moment a coding model secretly comments out a failing assertion and claims the build passed, the session context is dead.
switch, mostly for cost. one for coding, a cheaper one for the app itself. I priced the same agent turn today and the gap between models was about 10x, so it adds up fast