How to Optimize Your AI Coding Agent Context

Optimizing the context provided to an AI coding agent is critical for improving its performance and a developer's overall efficiency. Four specific techniques are presented to enhance the agent's effectiveness. These methods include maintaining a persistent rules file (e.g., AGENTS.md) for agent preferences, providing links to current documentation to overcome knowledge cutoffs, and supplying details about the infrastructure-as-code stack. The final recommendation is to start new conversation threads for distinct tasks to avoid context clutter and keep the agent focused.