Part 3 of the series that closes the gap between prompting an AI and actually understanding what it builds. Part 1 covered the fundamentals. Part 2 went into system design, backend, and security. Part 3 completes the journey - from writing tests to shipping and scaling real software, and finally, building a career around it. From Vibe Coder to Software Engineer, Part 3 covers Chapters 21-30: - Testing and debugging - catching problems before users do - Agile, Scrum, Kanban, and how real engineering teams actually work - DevOps, CI/CD, containers, and cloud infrastructure - Deployment, monitoring, observability, and performance - AI-assisted development and vibe coding, revisited with a professional's judgment - Prompt engineering, MCP, and working with LLM APIs as an engineer, not just a user - Software architecture and advanced system design - A capstone project, plus a roadmap for your ongoing career This volume also includes the complete set of appendices: a glossary, cheat sheets, a curated tool list, a prompt library, a pre-launch checklist, and further reading - reference material meant to stay useful long after you finish the book. By the end, you won't just be someone who prompts an AI and hopes for the best. You'll be someone who can read the output, catch what's wrong, ship it safely, and keep growing from there. (Part 1: Chapters 1-10, and Part 2: Chapters 11-20, complete the series.)
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