Post by DoorDash

At DoorDash, we’re exploring what it takes to make AI agents more reliable for real software engineering work. Today, we’re open-sourcing Agentic Orchestrator, an experimental state-machine-driven tool for making long-running AI agents more structured, consistent, and repeatable when tackling ambitious engineering projects. In this article, Ivar Lazzaro shares the journey behind it: from early prompt-driven development experiments, to hard lessons from multi-agent workflows, to a practical loop built around research, planning, implementation, review, and iteration. The result is a practical look at how engineers can move beyond one-off AI assistance and toward systems that help deliver complex features with more consistency. Read the full article: https://lnkd.in/enc4GRmR