# 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

## Explore other resources

### [The engineering leader’s guide to AI](https://github.com/resources/whitepapers/engineering-leaders-guide-to-ai?locale=en-US)

### [How agentic AI is accelerating DevOps](https://github.com/resources/whitepapers/how-agentic-ai-is-accelerating-devops?locale=en-US)

### [AI-powered DevOps with GitHub and Azure](https://github.com/resources/whitepapers/ai-powered-devops-with-github-and-azure?locale=en-US)