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Why Does Vibe Coding Fail When Done as a Team? — AI Team Development with SCRUM, by a 26-Year Veteran Architect

I got faster working alone with AI, so why did team projects get slower? The code each person builds with AI doesn’t fit together, the same features get built twice, and code no one can explain keeps piling up. The problem isn’t AI—it’s the way we work. A 26-year veteran architect will share the rules for teams working with AI. - Does any of this sound familiar? • The API a teammate built with AI won’t connect to the screen I built with AI. One side uses userId, the other user_id. • "I built everything with AI, and it works!" But then one edge case breaks it immediately. • I reviewed a 2,000-line PR generated by AI, and eventually just scrolled through and approved it. • In an interview, I couldn’t answer the question, "Why did you write the code this way?" • I spent all night repeating "Why isn’t this working…" with AI, and couldn’t even tell my team. If even one of these applies to you, this course is your next step.

2 learners are taking this course

Level Basic

Course period Unlimited

BDD
BDD
promise
promise
scrum
scrum
collaboration
collaboration
Vibe Coding
Vibe Coding
BDD
BDD
promise
promise
scrum
scrum
collaboration
collaboration
Vibe Coding
Vibe Coding

What you will gain after the course

  • Writing Development Specifications That Prevent AI Guesswork Using User Stories and Given/When/Then Acceptance Criteria

  • Design Team-Wide AI Rules, Context Files, and Prompt Templates for Consistent Results

  • Reliably integrating code created by team members and AI through API contracts, data models, and naming conventions

  • Ensure quality by validating exception handling, security, and performance in AI-generated code through tests and code reviews.

  • Explaining the decisions and rationale behind AI-generated code through ADRs and change history

  • Solving Large-Scale AI Code Merge Problems with Git Branching Strategies, Small PRs, and CI Quality Gates

  • Establishing a Definition of Done for the AI Era That Distinguishes Generation, Execution, Verification, and Completion

  • Manage the backlog, story points, daily stand-ups, reviews, and retrospectives for AI collaboration.

  • Complete a team project from planning through implementation, testing, and deployment, and present it in your portfolio and interviews.

Recommended for
these people

Who is this course right for?

  • Bootcamp participants and job seekers preparing for team projects

  • Developers with 1–3 years of experience who can use AI coding tools but struggle with collaboration and code integration.

  • A beginner developer who wants to take a vibe-coded project all the way through testing and deployment.

  • Team leaders and tech leads looking to introduce AI coding tools such as Cursor and Copilot to their teams

  • A development team that has learned Scrum and Agile but wants to rethink how it works for the AI era.

  • Learners who want to explain AI-generated code with evidence in their portfolios and interviews

Need to know before starting?

  • Basic programming experience and experience participating in team projects

  • Experience using AI coding tools such as Claude Code, Cursor, and Copilot (any tool is fine)

  • A basic understanding of software development terminology, such as APIs, testing, and CI/CD

Hello
This is han jeong heon

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  • Current domestic SI company software engineer (SA, AA)

  • Led development methodologies and design methods for numerous large-scale next-generation projects

  • Lectured on Cloud and SW subjects at Myongji University and Seoul National University of Science and Technology

  • Lectured on MSA courses at SK C&C, Korea Information Technology Research Institute (KITRI), and LG Electronics

  • Mentoring for MSA courses at Multicampus, Korean Standards Association, and Korea Management Association; mentoring for the web development course at Spharos Academy.

  • Areas of Expertise: Development Methodologies, Software Architecture/Design/Development Techniques

  • 2022, Wikibooks "Microservices Development Starting with Domain-Driven Design", Author

  • Developed and lectured the "Microservice Design and Implementation" course for K-MOOC, National Institute for Lifelong Education.

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Curriculum

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58 lectures ∙ (3hr 14min)

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