CI/CD for AI Agents

A new kind of contributor has joined your team. It does not sleep, it does not get tired, and it can open dozens of pull requests across your repositories before lunch. It is an AI coding agent, and it is changing software development faster than most teams expected. Maybe your agents are wonderful at scaffolding features and occasionally wire up a database connection with credentials pasted straight into the source, or maybe your confidence in what ships quietly drops. Whatever brought you here, you share a conviction this book was written to honor: that you do not control agentic coding by watching it more closely, and that you control it by building a pipeline that verifies every change.
This book is not a tour of every tool, not a prompt engineering manual, and not a theoretical treatment of artificial intelligence. What you actually need is a construction manual for a control surface, the CI/CD discipline that absorbs machine-speed volume and turns it into software you can ship with calm.
Inside, you will discover:
• Why a green pipeline is not enough, and what the gap actually is
• The three control types, and the defense-in-depth sieve stack
• A pipeline that absorbs volume, with stage order and caching that matter
• The test pyramid for agent code, and how to make tests earn their trust
• Code review at machine speed, and risk-based routing that survives
• Security scans, secrets detection, and the guardrails that contain agents
• Deployment gates, progressive delivery, and the human in the loop done right
The evidence is honest: in studies of agent-assisted workflows, the majority of genuine leaked secrets reached integration without a comment from a bot or a human, and hardcoded credentials dominate the critical findings. The pipeline gate is the only control that does not get tired, does not skim, and does not click approve out of exhaustion. You will finish able to look at a flood of agent pull requests and feel calm.