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AI Agents Loop Engineering with Claude Code: Build Self-Running Agent Workflows with /loop, /goal, Hooks, Skills, Subagents, Worktrees, MCP, and
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- AI Agents Loop Engineering with Claude CodeBuild Self-Running Agent Workflows with /loop, /goal, Hooks, Skills, Subagents, Worktrees, MCP, and Production-Ready Automation Stop repeating prompts, babysitting coding agents, and manually steering every step of your AI-assisted development workflow.Claude Code can inspect projects, edit files, run commands, fix errors, and continue across tasks, but without structure, agentic software development can quickly become messy, expensive, and hard to trust. Are you still telling your AI coding agents to check the diff, run the tests, fix the failure, update the docs, review the branch, and report the result one step at a time?If your Claude Code workflows feel powerful but inconsistent, this book gives you the missing engineering system: loop engineering. What Makes This Book Stand Out?AI Agents Loop Engineering with Claude Code is a practical developer guide for building controlled, self-running agent workflows with Claude Code, /loop, /goal, hooks, skills, subagents, worktrees, MCP, GitHub Actions CI/CD, and production-ready automation.Instead of treating Claude Code as a one-off chat assistant, you will learn how to design repeatable workflows that inspect, act, verify, correct, report, and stop safely. The book shows how to move from manual prompting to structured Claude Code workflows that use clear project rules, measurable completion conditions, reusable skills, automated quality gates, specialized review agents, branch isolation, external tool access through MCP, and pull request-based delivery.You will learn how to:Build practical /loop workflows for recurring checks, PR follow-up, maintenance, and CI monitoringDesign /goal completion conditions that prevent false “done” claimsCreate CLAUDE.md project rules that guide agent behaviorPackage common developer workflows into reusable Claude Code skillsAdd hooks for validation, logging, and safety checksUse subagents for review, testing, security, and documentationRun parallel agent work safely with Git worktreesConnect Claude Code to approved external project state through MCPCreate GitHub Actions CI/CD checks for build, test, lint, and dependency reviewPrepare production automation loops without removing human approvalThis book is built around real developer workflows, not vague AI theory. Every chapter moves toward a complete production-style capstone: a self-running website delivery workflow that uses Claude Code, AI agent automation, MCP server setup, GitHub Actions CI/CD, review agents, hooks, tests, worktrees, and final pull request approval.Ideal for developers, AI engineers, DevOps engineers, automation builders, and technical leads, this guide gives you a practical operating system for production AI agents and safer agentic coding workflows.Buy this book today and start building Claude Code automation that is structured, testable, reviewable, and ready for real software work.
| Publication date | June 21, 2026 |
| Language | English |
| File size | 9.0 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 525 pages |
| Page Flip | Enabled |
| Part of series | Claude Agent Engineering |
| Item Weight | 1.5 lbs (680 grams) |
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