The article emphasizes the challenges of context management in designing effective agents, particularly when using Codex. It highlights that providing a massive instruction document, like `AGENTS.md`, is counterproductive. Such a document can overwhelm agents, leading to missed constraints and poor decision-making. Instead, the approach focuses on creating a structured knowledge repository that serves as a table of contents rather than a comprehensive manual. The layout of the knowledge repository organizes documentation into distinct categories, such as architecture, design docs, and execution plans. Plans are treated as first-class artifacts, with active and completed plans versioned together. This structure allows agents to access relevant information without external context, streamlining their operations. Mechanical enforcement tools, like linters and "doc-gardening" agents, ensure that the knowledge base remains up-to-date and relevant. As the codebase evolves, the focus remains on enhancing Codex’s ability to reason about the business domain directly from the repository. Information not captured in the repo, such as Slack discussions, becomes invisible to the agent, limiting its effectiveness. The aim is to optimize the repository for agent legibility, ensuring agents can access and understand the necessary context to perform tasks effectively. By organizing knowledge appropriately, the team can align the agent's output more closely with human expectations and operational norms. Lastly, the article discusses the importance of enforcing architectural principles without micromanaging code implementation. By establishing invariants, the team enables agents to work quickly while maintaining coherence in the codebase. This approach allows for a balance between agility and structural integrity, enhancing overall productivity and effectiveness in agent-driven development.