Git Workflows & Agentic AI Reasoning: Design Autonomous AI Agents That Plan, Code, Review, and Deploy with Secure, Production-Ready DevOps Pipelines
暫譯: Git 工作流程與自主 AI 推理：設計能夠規劃、編碼、審查及部署的自主 AI 代理，並具備安全的生產就緒 DevOps 管道

Software teams want AI speed, but many hit the same wall fast: agents can generate code, yet they also create noisy pull requests, unsafe changes, broken pipelines, and governance headaches when the workflow design is weak. How do you let AI agents contribute without turning your repository into a risk surface?

This book gives you a practical answer: a Git-first, PR-first, gate-driven approach to agentic engineering. It shows how to design autonomous AI agents that operate inside secure, production-ready DevOps pipelines, where every change is auditable, testable, reviewable, and controlled. You'll learn how Git workflows become the backbone for safe AI reasoning, from planning and coding to review and deployment. The title and scope are consistent with the uploaded manuscript.

You will learn how to build and run agentic workflows that:

• plan multi-step tasks from clear goals

• generate code, tests, and documentation updates

• open structured pull requests with traceable changes

• pass through CI/CD quality gates and approval policies

• use secure tokens, scoped permissions, and branch protection

• support monitoring, logging, rollback, and team governance at scale

Whether you are a developer, DevOps engineer, platform engineer, or engineering leader, this book helps you move from AI experiments to reliable automation systems that teams can trust. Want AI agents that actually improve delivery speed without compromising security or code quality? Get this book and start building production-grade agentic pipelines the right way.