How to Facilitate Effective AI Programming

AI coding agents can significantly increase programming speed, but their effectiveness is often hampered by a lack of context that human developers possess from meetings, discussions, and historical knowledge. To bridge this gap, it is essential to document this information and make it accessible to the AI. Three practical techniques include consolidating Infrastructure as Code (IaC) schemas into a single file, actively identifying and correcting for missing context when the agent struggles, and using AI tools to summarize meetings to inform feature development. By systematically providing this context, developers can make their AI agents faster, more accurate, and more efficient.