Dignified Python: 10 Rules to Improve your LLM Agents Writing Python
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Dagster's engineering team shares 'Dignified Python,' a set of 10 coding rules they inject directly into Claude's context to guide LLM-generated Python code. The rules address common LLM pitfalls: preferring LBYL over EAFP exception handling, never swallowing exceptions silently, keeping magic methods O(1), checking path existence before resolution, deferring import-time computation with @cache, verifying type casts at runtime with isinstance, using Literal types for fixed string values, declaring variables close to their use, enforcing keyword-only arguments for complex functions, and avoiding default parameter values. The goal is to encode team conventions and design philosophy upfront so AI agents produce consistent, intentional code rather than generic patterns from training data.
