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Why “quick automation” often breaks later
I’ve seen many “quick automation” scripts fail after a few weeks — not because of Python, but because edge cases were ignored.
Common misses:
Empty or partial inputs Unexpected formats Duplicate or inconsistent data
Before writing code, I now always define: What should be ignored What should fail What should pass silently
This small upfront clarity makes automation stable, even when requirements change. Automation that survives change is more valuable than automation that works once.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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