Title: Context-Driven Development with AI AssistantsKey Points:Compares context-driven development to DevOps practicesEmphasizes using AI tools for project-wide analysis vs line-by-line assistanceFocuses on feeding entire project context to AI for specific insightsHighlights similarities with CI/CD feedback loopsPositions this approach as non-controversial use of AI coding assistantsMain Arguments:AI tools work best with full project context rather than isolated code completionDeveloper maintains control over which AI suggestions to implementSimilar to DevOps feedback loops but for code quality and improvementsWorks equally well with open-source and proprietary AI toolsKey Applications:Code reviewsTest coverage analysisDocumentation improvementsFeature development guidance 
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