refactor-split

To split a Python module without breaking imports, you identify natural seams by responsibility and data boundaries, migrate code into new submodule shells, and preserve the public surface by re-exporting definitions through the original module path.

A seam-based refactor analyzes an oversized Python module to detect natural separation points based on lifecycle, call relationships, and data boundaries, then proposes a documented layout plan to divide it into focused, maintainable submodules.

You plan a Python module split by analyzing call relationships and data boundaries, scaffolding new module shells, migrating code in logical groups, and validating tests and linting to ensure no runtime regressions occur during the refactor.

The best way to restructure a monolithic Python file is to document a rationale for an in-place, sibling, or submodule layout, scaffold the new module shells, and update internal imports with stable re-exports to maintain the public API.

Yes, this refactoring process detects natural seams and proposes a documented layout plan with in-place, sibling, or submodule options specifically for operator approval before scaffolding new shells and migrating any code.

Yes, the refactor analyzes internal call relationships and data boundaries to find natural seams, migrating definitions in logical groups while updating internal imports and using re-exports to maintain the existing public surface.