50 AI Workflows for Engineers: From Debugging to System Design, Code Review & Engineering Automation

Most engineers use AI like a search engine.The top 1% use it like a senior engineering partner.The average engineer wastes 5 to 10 hours per week on tasks AI could handle in minutes. This is the complete playbook for engineers who want to use AI systematically. 50 battle-tested workflows built around the tools you're already using: Claude, ChatGPT, Cursor, Claude Code, GitHub Copilot, and OpenClaw.What you'll learn inside:• How to turn vague tickets into clear implementation plans in 15 minutes• A 5-step debugging workflow that cuts diagnosis time by 75%• The complete incident response playbook for when you're paged at 3am• How to translate product requirements into technical architecture drafts• How to build LLM-as-Judge evaluation pipelines for AI quality at scale• The multi-model strategy that top engineers use every day• How to build AI agents with tool use, MCP, and multi-agent orchestration (including OpenClaw)• Personal AI assistants that know your codebase, your team's conventions, and your deployment pipeline• When vibe coding works and when it ships SQL injection to production• 50 battle-tested prompts from real production systems that you can copy and use immediatelyEvery chapter includes:• A real engineering story from production systems at scale• Step-by-step workflow with copy-paste prompts and real outputs• What goes wrong and how to handle the failure modes• A quick reference card you can use without re-reading the chapterWritten by an ML Tech Lead with 60+ papers and patents, an ACM Test-of-Time Award, and experience building production AI at Amazon, Microsoft, and other Fortune 500 companies.Short on time? The companion volume "AI Workflows for Engineers in 14 Days" gives you the 14 highest-leverage workflows from this book, one per day for two weeks.Stop using AI casually. Start using it systematically. Read more