Function-Correcting Codes for Insertion-Deletion Channel

This project is a niche academic implementation of a specific coding theory paper (arXiv:2512.07243). With 0 stars and minimal forks, it lacks any software-based moat or community traction. Its value is purely theoretical, providing a new approach to 'function-correcting codes'—a specialized branch of information theory where the goal is to correct enough errors to compute a function of the data rather than recovering the entire message. This is highly relevant to DNA data storage where sequencing errors (insertions/deletions) are common. From a competitive standpoint, it faces no threat from frontier AI labs (OpenAI/Google) as it sits at the physical/link layer of storage systems, far outside their core focus. However, as an open-source tool, it is easily reproducible by other researchers or specialized DNA storage startups like Twist Bioscience or Catalog. The defensibility is low because the code is a reference for the paper, not a hardened library. Displacement is unlikely in the short term due to the specialized nature of the math, but it will remain a small academic footprint unless integrated into broader bioinformatics or storage toolkits.