Vibe Coding in Teams: How to Handle Pull Requests & Reviews

Vibe Coding as a solo developer is straightforward. But in a team? You need processes to ensure consistency, quality, and knowledge sharing.

This guide shows you how to implement Vibe Coding in team environments.

The Team Vibe Coding Workflow

1. Establish Team Standards

Create a shared `.cursorrules` file in your repo:

“`markdown

Team Coding Standards

Tech Stack

– TypeScript (strict mode)
– React with hooks
– Tailwind CSS
– Vitest for testing

Code Style

– Use functional programming patterns
– Prefer composition over inheritance
– Add JSDoc comments for all exported functions
– Keep functions under 50 lines

AI Usage

– Always review AI-generated code before committing
– Add tests for all AI-generated features
– Document complex AI-generated logic
“`

2. PR Template for AI-Generated Code

Create `.github/pull_request_template.md`:

“`markdown

Description

[Describe what this PR does]

AI Assistance

– [ ] This PR includes AI-generated code
– [ ] I have reviewed all AI-generated code
– [ ] I have added tests for AI-generated code
– [ ] I understand how the AI-generated code works

Testing

– [ ] Unit tests pass
– [ ] Integration tests pass
– [ ] Manual testing completed

Checklist

– [ ] Code follows team standards
– [ ] No console.logs or debug code
– [ ] Documentation updated
“`

3. Code Review Process

For Reviewers:

When reviewing AI-generated code, check:
1. Logic: Does it actually solve the problem?
2. Security: Any vulnerabilities?
3. Performance: Any obvious inefficiencies?
4. Maintainability: Can the team understand this in 6 months?
5. Tests: Are there adequate tests?

Review Checklist:
“`markdown
– [ ] Logic is correct
– [ ] No security issues
– [ ] Performance is acceptable
– [ ] Code is maintainable
– [ ] Tests are comprehensive
– [ ] Follows team standards
“`

Common Team Challenges

Challenge 1: Inconsistent AI Output

Problem: Different team members use different AI tools or prompts, leading to inconsistent code styles.

Solution:
* Standardize on one AI tool (e.g., Cursor)
* Share a library of proven prompts
* Use `.cursorrules` to enforce consistency

Shared Prompts Library (`docs/ai-prompts.md`):
“`markdown

Standard Prompts

Creating a React Component

“Create a React component called [Name]. It should [functionality]. Use TypeScript and Tailwind CSS. Follow our team's coding standards.”

Writing Tests

“Generate comprehensive tests for this function using Vitest. Cover normal cases, edge cases, and error cases.”

Refactoring

“Refactor this code to follow our team's functional programming standards. Keep the same API.”
“`

Challenge 2: Knowledge Silos

Problem: Developer A uses AI to build a feature. Developer B doesn't understand it.

Solution:
* Require documentation for complex AI-generated code
* Pair programming sessions to share AI techniques
* Regular “AI Show & Tell” meetings

Documentation Template:
“`markdown

Feature: User Authentication

Implementation Approach

[Explain the high-level approach]

AI Assistance Used

– Used Cursor to generate JWT middleware
– Used Windsurf to refactor password hashing

Key Decisions

– Chose JWT over sessions because [reason]
– Used bcrypt with cost factor 12 because [reason]

How It Works

[Explain the flow]

Testing

[Explain how to test this feature]
“`

Challenge 3: Over-Reliance on AI

Problem: Junior developers use AI as a crutch and don't learn fundamentals.

Solution:
* “No-AI Fridays” – one day per week without AI tools
* Code review feedback should teach, not just approve
* Mentorship program pairing juniors with seniors

Challenge 4: Merge Conflicts

Problem: AI-generated code creates more merge conflicts.

Solution:
* Smaller, more frequent PRs
* Clear module ownership
* Use feature flags to avoid long-lived branches

Team Collaboration Patterns

Pattern 1: The “Pair Vibe” Session

Two developers work together:
* Developer A prompts the AI
* Developer B reviews the output in real-time
* Both discuss and refine

Benefits:
* Knowledge sharing
* Higher quality output
* Faster reviews

Pattern 2: The “AI Mob” Programming

Entire team works on one feature:
* One person drives (prompts the AI)
* Others navigate (suggest improvements)
* Rotate driver every 15 minutes

Benefits:
* Team alignment
* Shared understanding
* Creative problem-solving

Pattern 3: The “Review Buddy” System

Each developer has a “review buddy”:
* All AI-generated code is reviewed by your buddy
* Rotate buddies monthly
* Buddies are responsible for teaching each other

Measuring Team Success

Metrics to Track

1. Velocity: Are we shipping faster with AI?
2. Quality: Are bug rates staying low?
3. Coverage: Is test coverage improving?
4. Satisfaction: Are developers happy with the tools?

Tools for Tracking

“`bash

Track velocity

git log –since=”1 month ago” –oneline | wc -l

Track test coverage

npm run test — –coverage

Track bug rates

Use your issue tracker's API

“`

Handling Disagreements

Scenario: AI vs. Human Code

Developer A: “The AI generated this elegant solution.”
Developer B: “I don't understand it. Let's write it manually.”

Resolution Process:
1. Explain the AI-generated code
2. If it's still unclear, simplify or rewrite
3. Document the decision in the PR

Rule: Clarity > Cleverness

Scenario: Which AI Tool to Use?

Developer A: “Cursor is better.”
Developer B: “Windsurf is better.”

Resolution:
* Run a 2-week trial with each tool
* Measure productivity and satisfaction
* Vote as a team
* Standardize on the winner

Onboarding New Team Members

Week 1: AI Tool Setup

* Install Cursor/Windsurf
* Configure with team settings
* Review `.cursorrules`

Week 2: Shadowing

* Watch experienced developers use AI
* Pair program on small tasks

Week 3: First Solo Task

* Assign a small feature
* Provide AI prompts to use
* Review thoroughly

Week 4: Full Speed

* Independent work with AI
* Regular check-ins

Conclusion

Vibe Coding in teams requires more structure than solo work. But with the right processes, it can make your entire team more productive.

At BYS Marketing, we've implemented these practices across our development team. The result? We ship 3x faster while maintaining high code quality.

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Want to implement AI coding in your team?
Contact BYS Marketing. We offer team training and process consulting.