A context window is the amount of text and other tokenized information a model can consider in one request. It contains the prompt, prior conversation, instructions, source files, tool output, and the model’s own response. Every model has a limit.
When the window fills, older content may be removed or summarized, and important details can be lost. Even before the limit, too much unrelated material can make the model overlook the right fact. Give the assistant current, relevant sources instead of a repository dump. For long tasks, record decisions and progress in a compact handoff. A larger window helps with broad work, but careful context selection still improves accuracy, cost, and speed.
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