Feeding the Agent Right: How DfAD Context Packages Keep Every Session Under 10K Tokens and on Track
The Design for Agentic Development (DfAD) framework introduces a method for managing context within AI agent sessions, specifically addressing the token limitations of models like Claude. It utilizes four compact documents—Mini-PRD, Mini-TDD, Mini-Data Model, and Interface Contract Sheet—arranged in a precise order to optimize context. This structured approach ensures that agent interactions remain within a 10,000-token limit while maintaining session focus and efficiency. AI
IMPACT Provides a structured approach to managing AI agent context, potentially improving efficiency and reliability for developers.