Editing Research:Question-38-AI-Development-Quality-Impact (section)

=== Code Churn and Velocity Impacts ===

Analysis reveals significant changes in code development and modification patterns:

'''Code Churn Projection:''' Industry data indicates that "code churn" - the rate of code addition, modification, and deletion - is projected to double in 2024 compared to pre-AI baselines. This represents a fundamental shift in development velocity and change patterns.

'''Velocity-Quality Tradeoffs:''' The research identifies clear tension between increased development speed enabled by AI tools and traditional quality assurance practices. Teams using AI assistance show 35-50% increases in code output velocity but require adjusted quality control processes to maintain software quality standards.

'''Change Pattern Analysis:''' AI-assisted development exhibits different change patterns compared to traditional development:
* Higher frequency of small, incremental changes
* Increased tendency toward feature addition versus refactoring
* Modified debugging and error correction workflows
* Different patterns of iterative improvement and optimization