Every team has a context window, a shared body of knowledge that includes essential facts, relationships, and recent events relevant to their work. When this context window becomes too large, teams experience cognitive overload, leading to slowdowns and fragmented efforts. Individual cognitive limits, coordination costs, and complexity amplification are key factors driving this issue. For instance, if an engineer must juggle numerous services and dependencies, quality and efficiency inevitably decline. As a team's scope grows without clear boundaries, the initial signs of strain become evident as work slows and decision-making becomes cumbersome. A change that once involved two people may start requiring five, leading to blurred ownership and decreased accountability. This can result in frustration, with team members feeling overwhelmed and disengaged. Leaders often misinterpret these symptoms as cultural or motivational issues rather than recognizing them as cognitive failures tied to poorly defined team scopes. Modern software development, characterized by modular systems and microservices, only exacerbates this problem. Teams face "implicit context," which refers to the knowledge required to avoid disrupting production. Companies like Amazon enforce small team sizes to maintain manageable cognitive loads, while Netflix focuses on tooling and automation to ease cognitive demands. The core issue isn't simply about efficiency; it’s about how much information a team can effectively manage. To address this, teams need to deliberately shrink and shape their context windows. Instead of adding more processes or meetings, leaders should focus on defining clear responsibilities and simplifying the information teams need to retain. This approach allows teams to operate effectively and maintain productivity.