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

# AI Coding Assistants Hit a Wall—But It's Not What You'd Think The real problem with AI coding agents isn't that they need more information to work with; it's that they're drowning in irrelevant information they can't filter out. Instead of just cramming more code into the AI's memory, a smarter approach treats the job like a compiler would—carefully deciding what information matters for each task and throwing away what doesn't. This could make coding assistants much more reliable without needing expensive upgrades to their technical capabilities.
Most coding agents treat prompt construction like retrieval: gather more files, add more context, hope the model figures it out. But that approach breaks down fast. As context grows, irrelevant code competes for attention, and when the window fills, agents start compressing their own memory—often mi
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