Confident system proposed for persistent AGENTS.md decisions

The author argues that writing increasingly detailed instruction files like AGENTS.md creates false confidence while failing to improve agent independence or prevent recurring hand-off questions. Analyzing local coding logs, the author found that a significant portion of agent interactions still end by handing decisions back to the human. The piece proposes the conceptual system 'Confident' to preserve cross-session context and decision history across different AI tools. Open article →