Pythonic code, written by an AI that actually reads PEP 8

Type hint retrofitting

Point Claude Code at an untyped Python codebase and it adds comprehensive type hints — generics, protocols, TypeVar, overloads — and verifies them with mypy or pyright.

Test suite generation

Claude Code generates pytest tests with fixtures, parametrize decorators, mocking, and proper assertion messages. It writes tests that catch real bugs, not just tests that exist for coverage.

Package scaffolding

Set up a Python package with pyproject.toml, proper entry points, optional dependencies, CLI interfaces (click/typer), and publishing configuration for PyPI — all following current best practices.

Async code migration

Claude Code converts synchronous code to async/await patterns, handles the event loop correctly, replaces blocking calls with async alternatives, and ensures proper resource cleanup.

Script to CLI application

Transform a quick script into a proper CLI tool with argument parsing, help text, configuration files, logging, and error handling that provides useful feedback instead of tracebacks.

Python is a language where readability and convention matter enormously. Code that works but does not follow Python idioms is a maintenance burden. Claude Code writes Python the way experienced Pythonistas expect: list comprehensions where appropriate, context managers for resource handling, generators for large datasets, dataclasses for structured data, and proper use of the standard library instead of unnecessary dependencies. It knows when to use a simple function and when a class makes sense. It follows PEP 8 without being asked.

Claude Code works with the full Python ecosystem: Django and FastAPI for web, pandas and polars for data, SQLAlchemy and Tortoise for databases, celery for task queues, pydantic for validation, pytest for testing, and hundreds of other libraries. It generates code that uses these libraries idiomatically, following each library's conventions rather than fighting against them. It also stays current with modern Python practices like structural pattern matching, exception groups, and the latest typing features.