4 Claude Code Workflows That Write Your Python Tests

Your Python project has 30% test coverage. Not because testing is hard — because writing tests is tedious. Claude Code changes the economics. These 4 workflows generate real, runnable tests from your existing codebase. Not toy examples. Tests that catch bugs, cover edge cases, and run in CI. Why AI-Generated Tests Work Better Than You Expect The skepticism is fair: "AI writes bad tests." Some do. Generic prompts produce generic assertions. But Claude Code reads your entire project — imports, types, error handling, docstrings — before generating anything. The difference between a bad AI test and a useful one is context. Claude Code has your full codebase as context. That changes what's possible. Here are 4 workflows, ordered from simplest to most advanced. Workflow 1: Generate Unit Tests From Existing Functions Start with the function you want to test. Claude Code reads the implementation, infers expected behavior from the code, and generates tests that match your project's existing tes