Coding Agents Don’t Need Bigger Context Windows — They Need a Context Compiler

Most coding agents waste a significant portion of their context window on irrelevant code, which impairs their performance. A proposed solution is a "Context Compiler" that filters the codebase before sending it to the model, similar to how a traditional compiler works. This three-pass process resolves dependencies, strips non-essential code down to interfaces, and assembles a tiered prompt with only the necessary information. A prototype built in Python successfully reduced prompt sizes by 69–74% on real repositories, demonstrating a more efficient way to manage context for AI coding assistants.