LLMs Limitation № 3: Small Context Window

Why is this a Problem

AI tools give a very strong effect at the beginning of the new project. You can get a lot of visible output fast, and it feels like the work can be done in a day, but in real development the hard part is not producing many lines of code. It is producing the right code that fits the existing system and with a large codebase, there are two problems:

1. The whole project usually doesn’t fit into the context window as there are limits of the context windows, depending on the model.
2. Even when a lot of the project technically fits, accuracy goes down when the context becomes too large: the model starts focusing only on a few things and forgetting about the rest of the details, hallucinating, forgetting constraints, skips security part, and producing more bugs.

What’s the Solution

At Enkonix we keep the context window as small and focused as possible. We don’t ask AI to understand the whole codebase and build a big final feature in one pass. A developer breaks the work into small parts and gives AI only the context that is needed for the current step, plus a short version of what the LLM needs to know about other related parts of the project.