100 Python Code Smells | AI Code Review Guide

100 Python Code Smells for AI-Assisted Developers is a practical code-review reference for developers who want to spot questionable patterns before they merge.

This is not a list of rigid rules. Each “smell” is a signal to pause, inspect the tradeoff, and decide whether the context justifies the pattern.

What’s included

• Full PDF reference guide with 100 Python code smells
• A consistent four-part format for every entry:
• Why it’s a smell
• Short Python example
• Common / best-practice alternative
• When the pattern may be legitimate
• 20 AI-assisted-development review smells, including hallucinated APIs, unverified generated code, architectural style drift, invented configuration, and overengineered solutions
• A separate 4-page printable quick-review checklist organized by category

Topics include control flow, functions, naming, architecture, configuration, reliability, testing, data and database practices, security, and AI-assisted development.

This guide is useful for:

• Python developers reviewing their own work
• Engineers reviewing AI-generated pull requests
• Team leads building code-review habits
• Students moving from “it works” to production-quality judgment
• Internal engineering teams looking for a practical review reference

Files included

1. 100_Python_Code_Smells_for_AI_Assisted_Developers.pdf
2. Python_Code_Smells_Quick_Review_Checklist.pdf

Please note

• This is a digital download. No physical item will be shipped.
• Your files will be available immediately after purchase through Etsy.
• Personal and internal-team use are allowed. Please do not share, resell, redistribute, upload, or repackage these files or their contents.