Which coding tasks are worth the highest-capability model in your workflow?
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A developer is seeking to differentiate coding tasks that require deep reasoning from those needing reliable execution to optimize their workflow.…
I am trying to separate coding work that needs deep reasoning from work that mainly needs reliable execution. Designing a change across an unfamiliar codebase, diagnosing a subtle regression, and reviewing a risky patch seem worth a stronger model. Formatting, small translations, and clearly specified edits seem better suited to a faster path.
The decision is less obvious for medium-sized tasks: adding more context may be enough, but sometimes the task remains ambiguous even with all the relevant files included. Do you use a fixed escalation rule based on risk and testability, or decide case by case?
Which coding tasks do you consistently send to the most capable model?