code-duplication-check

To prevent code duplication, you can scan the codebase for existing implementations before writing new code. This approach proactively searches directories like `src/` for existing components and prioritizes reusing ML-specific patterns and Python utilities.

The best way to find existing code to reuse is to scope code searches to specific directories like `src/` and prioritize ML-specific patterns and general Python utilities. This ensures you locate existing components before creating redundant ones.

Yes, you can adapt existing code. When a new component is requested, guided development workflows offer three paths: use existing code, write new code with justification, or adapt existing code, with a strong preference for reuse.

Yes, code search for component reuse works with ML-specific patterns. The search mechanism prioritizes finding existing ML-specific patterns and general Python utilities to encourage code reuse and prevent duplicate implementations.

You should justify writing new code over reusing an existing implementation when a proactive search of the codebase fails to find a suitable match. If existing code is found, the workflow guides you to use or adapt it rather than creating duplicate code.