How to Orchestrate AI Agents

This guide illustrates how to orchestrate agents with clear specs, repo-level guardrails, real-time observability, and a repeatable review loop—so organizations can scale throughput without sacrificing reliability, security, or governance.

In this ebook you'll learn how to:

• Shift from synchronous AI usage to asynchronous, multi-agent workflows that increase throughput and reduce bottlenecks

• Decide when to run agents in parallel vs. sequentially to avoid merge conflicts and protect system integrity

• Write clear issues that act as step-by-step instructions, so agent output is predictable and easy to review

• Establish governance at scale with guardrails, custom agents, and repository-level standards

• Monitor, steer, and continuously improve agent workflows using session logs and a structured review process that ensures quality, security, and alignment before merging