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title: Writing Python Scripts With AI — What I Check Before Running
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# Writing Python Scripts With AI — What I Check Before Running

**[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 1 upvotes · 0 comments

## Summary

A robotics engineer shares a practical workflow for using AI to write small Python scripts safely. The approach centers on four rules: keep each script to one job, always test on fake/messy data first, understand any unfamiliar code lines before trusting them, and read the full script before running it on real data. Common pitfalls in AI-generated Python are highlighted — hardcoded paths, destructive operations, broad exception blocks, and encoding issues. The post also covers a repeatable learning loop and which standard library modules (pathlib, csv, datetime, os, shutil) are most useful for personal automation tasks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@anishcp663/writing-python-scripts-with-ai-what-i-check-before-running-7a12ff08e070>

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---

Tags: [#python](https://daily.dev/tags/python), [#automation](https://daily.dev/tags/automation), [#ai-coding](https://daily.dev/tags/ai-coding)

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