Coding Agents Don’t Need Bigger Context Windows — They Need a Context Compiler
中文摘要
编码智能体需要“上下文编译器”而非更大的窗口，通过智能筛选信息来避免冗余代码干扰和上下文退化。
English Summary
Coding agents need a "context compiler" instead of larger windows. Instead of just adding files, they should intelligently filter information to prevent noise and context degradation.
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 mid-task. What looks like “forgetting” is usually just degraded context. This article explores a different approach: treating prompt construction like a compiler that decides what to keep, what to reduce, and what to discard entirely. The post Coding Agents Don’t Need Bigger Context Windows — They Need a Context Compiler appeared first on Towards Data Science.