The Context Window as IDE: Why AI Coding Agents Succeed or Fail Based on What They Can See
The real differentiator in AI coding tools is no longer model quality — it's what the model can see. Two developers using the same underlying LLM will get wildly different results depending on how their tooling retrieves, ranks, and packs code context into the model's working memory. The context window has become the IDE, and most teams don't realize their agent is working blind.
This matters because practitioners routinely blame the model when their coding agent produces hallucinated function calls, ignores existing utilities, or generates code that contradicts project conventions. In most cases, the model never saw the relevant code. The retrieval pipeline failed, not the reasoning.
