llm/122b8d72-a8a3-4fcf-8eca-6a52786d1a8b/topic-13-0b7fb01b-c7a9-4277-9c25-9d4580776dcf-output.json
Current AI agents often struggle with "big picture" tasks, requiring users to decompose complex projects into smaller, tightly scoped units to prevent the models from becoming overwhelmed and losing coherence. Even as context windows expand, the process of information compaction frequently leads to a "stupid zone" where agents forget basic instructions or misconfigure themselves, necessitating constant human redirection to stay on track. This persistent friction suggests a need for new architectural standards, as users find that maintaining shorter file sizes and modular code is essential for both machine performance and human readability.