I am stuck on API error handling. I need to make API failures observable and useful without leaking internal details, but my current attempt is getting vague and too big. What would you check first?
I needed a usable answer on API error handling
I wanted help with API error handling without pretending the model knew facts I had not provided.
First, shrink the decision. Do not solve the whole subject at once.
- Reproduce the failure before changing code.
- Keep the patch smaller than the diagnosis.
- Write the rollback before deployment.
Write down the result you need by the end of this session. Then choose one input you trust and make a first pass that can be checked. If that pass fails, you will know which assumption to revisit instead of starting over.
The smaller decision was the missing piece. I was asking for the whole system at once.
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