AI Code Quality Starter Kit

Author(s): Caleb Pittman

This workbook documents the output of every activity in the research so teams have a single reference for AI code quality practices.

  • Record tool usage, SDLC fit, and the motivations driving AI adoption on your team.
  • Document embedded nonfunctional requirements, prompting standards, and a personalized pull request checklist.
  • Track objectives, metrics, and roadmap milestones across one-, three-, and six-month periods.