Architecture Is the Missing Layer in AI Harness...

Originally published in longer form on Substack. This DEV version is adapted for software engineers and platform practitioners who want the practical takeaway quickly. Most AI harness work focuses on execution. That makes sense. Teams need better context management, tool access, workflow boundaries, verification, memory, and sub-agent coordination. Without those pieces, coding agents are unreliable fast. But there is a different failure mode that those harness improvements do not solve: an agent