Stop Reading Entire Files: How md2idx Cuts LLM Context Waste

AI agents habitually load entire files into their context window to find a few needed sections, wasting valuable tokens and degrading response quality. md2idx solves this by leveraging Markdown's native heading structure to create indexed sections, reducing context usage by 80–98%. This is especially critical for coding agents that process large specifications and documentation daily.