I’m Switching to Python and Actually Liking It
I’ve started writing more Python code lately (because of… AI, you know). In this post, I share the tools, libraries, configs, and other integrations I...
Summary
Learn why using Pydantic beyond API boundaries leads to 6.5x slower performance and 2.5x more memory usage. This post reveals the serialization/deserialization debt anti-pattern that creates performance bottlenecks in Python applications and shows benchmarks comparing Pydantic with native dataclasses. Discover when to use Pydantic (data validation at service boundaries) and when to avoid it (everywhere else).