Part V: Professional Vibe Coding

"Software is a team sport, even when your most productive team member is an AI."

The skills covered in Parts I through IV make you an effective individual vibe coder. Part V takes you into the professional realm — where software is built by teams, managed over time, and subject to real-world constraints of version control, collaboration, planning, maintenance, and law.

Chapter 31 covers version control workflows for AI-assisted development. Git practices change when AI is your coding partner — commits come more frequently, diffs are larger, and new questions arise about branching strategies, commit messages, and pull request workflows. This chapter provides the Git practices that work best in the vibe coding context.

Chapter 32 addresses team collaboration. When multiple people on a team use AI coding tools, new challenges emerge: inconsistent coding styles, duplicated approaches, knowledge silos, and the question of who is responsible for AI-generated code. You will learn to establish team conventions, build shared prompt libraries, standardize tools, and onboard new members into a team AI workflow.

Chapter 33 tackles project planning and estimation in the AI era. AI dramatically accelerates some tasks but leaves others unchanged, making traditional estimation techniques unreliable. You will learn requirements analysis with AI, task decomposition strategies, estimation calibration, sprint planning adaptations, and stakeholder communication for AI-augmented timelines.

Chapter 34 confronts technical debt — a particularly important topic for AI-generated codebases. AI code can accumulate debt in unique ways: style drift across sessions, inconsistent abstractions, over-engineered solutions, and patterns that work but violate established conventions. This chapter teaches you to identify, measure, prioritize, and remediate technical debt systematically.

Chapter 35 navigates the legal landscape. Copyright, open-source license compliance, enterprise usage policies, data privacy, and intellectual property questions are all evolving rapidly in the AI era. This chapter provides the educational foundation to navigate these issues responsibly (while noting that specific legal advice should come from qualified professionals).

By the end of Part V, you will be equipped not just to build software with AI, but to do so professionally — within teams, across projects, over time, and in compliance with legal and organizational requirements. These are the skills that separate hobbyist vibe coders from professional practitioners.