Paper To Code

Takes a research paper PDF or text and generates a complete, runnable code repository through a three-stage pipeline: planning (UML diagrams, dependency graphs), analysis (per-file logic mapping), and coding (dependency-ordered generation). The workflow is methodical, maybe overly so, generating everything from config.yaml to reproduce.sh scripts while strictly following the paper's methodology without inventing improvements. Useful when you need to replicate published results rather than just understand the approach. The constraint to generate code in dependency order and never fabricate hyperparameters keeps it honest, though you'll still need to debug if the paper glosses over implementation details. Best for papers with clear experimental setups rather than purely theoretical work.