Skip to main content

Pair Programming Guidelines

In This Document

Pair Programming Philosophy

Pair programming is a core practice in our development process that helps spread knowledge, improve code quality, and build team cohesion. Our approach to pair programming follows these principles:

  1. Knowledge Sharing: Pairing accelerates knowledge transfer across the team
  2. Code Quality: Two sets of eyes catch more issues than one
  3. Collaboration: Pairing builds stronger working relationships
  4. Learning: Junior and senior developers both benefit from different perspectives

When to Use Pair Programming

We recommend pair programming in these scenarios:

  • Complex features requiring deep domain knowledge
  • Onboarding new team members
  • Debugging difficult issues
  • Knowledge transfer for critical systems
  • High-risk code changes

Pair Programming Formats

Driver-Navigator Format

  • Driver: Controls the keyboard and implements the code
  • Navigator: Reviews code, suggests improvements, and thinks strategically
  • Rotation: Switch roles every 30 minutes to maintain engagement

This format works well for knowledge transfer and mentoring.

Remote Pair Programming

For remote pair programming sessions:

  • Use screen sharing with audio communication
  • Consider collaborative coding tools (VS Code Live Share, JetBrains Code With Me)
  • Take more frequent breaks (10 minutes every hour)
  • Document decisions in real-time
  • Use a shared task list to track progress

Scheduling Pair Sessions

  • Schedule pair programming sessions in advance
  • Aim for 2-4 hour sessions (with breaks)
  • Block calendar time to minimize interruptions
  • Set clear goals for the pairing session
  • Allocate time for reflection at the end

Pairing Etiquette

  • Be respectful of different coding styles and approaches
  • Communicate clearly and constructively
  • Ask questions rather than making demands
  • Take breaks when needed
  • Be present and engaged during the session

Measuring Effectiveness

We evaluate the effectiveness of our pair programming through:

  • Code quality metrics
  • Knowledge distribution across the team
  • Team member satisfaction
  • Reduction in bugs and technical debt
  • Onboarding speed for new team members

Integration with Other Practices

Pair programming complements our other team practices:

  • Code Reviews: Pairing can reduce formal review time
  • Knowledge Management: Document insights from pairing sessions
  • Testing Requirements: Pairs often produce more thoroughly tested code
  • Communication Protocols: Follow standard communication guidelines during pairing

Tools and Resources

  • VS Code Live Share extension
  • JetBrains Code With Me
  • Tuple (for macOS users)
  • Screen sharing via Google Meet
  • Shared documentation via Confluence