Teams are increasingly tempted to overload AI agents with large amounts of code and documentation, especially with the rise of larger context windows. However, this practice dilutes the relevant signal within the context, leading to agents that focus on a small fraction of the provided information and make incorrect assumptions. A simple solution—creating short, file-level manifests that prioritize essential files—can significantly improve agent performance by guiding it to the most critical information and allowing it to request more context as needed. This approach prioritizes focused, targeted information over overwhelming the agent with unnecessary data.
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