Article A PlanDoCheckAct Framework for AI Code Generation

News Source : InfoQ.com
News Summary
- The rapid adoption of AI code generation is increasing outputs, but is not yet regularly achieving measured improvement in delivery and outcomes.
- Google's DORA State of DevOps 2024 Report concluded that every twenty-five percent increase in AI adoption correlates with a 7.2 percent decrease in delivery stability.
- GitClear's 2024 analysis of 211 million lines of code reveals a ten time increase in duplicated code blocks.
- Cloned code has a seventeen percent defect rate and 18.42 percent of those bugs are propagated into other copies.
Apply structured goalsetting cycles to AI coding sessions Set clear, observable success criteria for each session using plandocheckact principles and adjust course based on results. [+26177 chars]