myo transforms engineering workflow with AI agents

The author outlines how their engineering team at myo transformed their workflow to eliminate bottlenecks caused by consensus and review queues, adopting an AI-assisted approach. By shifting from traditional Shape Up processes to a model where a single directly responsible individual frames problems, shapes solutions, and delivers work using AI agents with strict guardrails and verification, the team increased speed and autonomy. The author argues that replacing consensus with rich context enables humans and agents to work efficiently without traditional silos. Open article →