Type-Safe Python Tests in the Age of AI

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sesigl89 · 3h ago

(author)

Hi HN, I wrote this after seeing the latest data on AI-assisted coding. While the productivity gains are real, so is the technical debt from things like code duplication (up 8x according to a 2025 GitClear study).

I wanted to create a practical playbook for Python developers and teams on how to build a "safety net" using a modern testing stack (Pytest, Ruff, Mypy) and a few key principles like type-safe fakes and behavior-driven tests.

The goal is to embrace the speed of AI without sacrificing the long-term quality of the codebase. Happy to answer any questions.

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Type-Safe Python Tests in the Age of AI

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