The Code Context Gap: Why AI Agents Need to Understand Before They Modify

AI coding agents excel at generating code but operate blind to the design decisions and reasoning behind existing code, creating sustainability and maintenance risks. DLD addresses this critical blind spot by creating an open-source framework that directly links code to its decision history, enabling AI agents to understand context before making changes. This approach is essential for long-term AI-driven development that embeds quality safeguards into the process rather than relying solely on incremental improvements in LLM performance.