Presentation: AI Works, Pull Requests Don’t: How AI Is Breaking the SDLC and What To Do About It
Engineering leader Michael Webster reports that AI-generated code is overwhelming software development teams with massive, unmanageable pull requests. These contributions create significant review bottlenecks and introduce long-term technical debt into codebases. To address these issues, developers are encouraged to implement test impact analysis and automated quality gating to better manage the scale of AI-assisted outputs.
Covered by 1 source
- IInfoQ AI↗Michael WebsterJun 26