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framework-analysis

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更新日2026年3月31日 01:56

Systematically analyze software frameworks by: 1) Examining the codebase structure and identifying core architectural patterns (MVC, dependency injection, middleware chains, etc.) 2) Mapping out component relationships and data flow through the system 3) Identifying performance bottlenecks, scalability limitations, and technical debt hotspots 4) Evaluating code quality metrics including complexity, maintainability, and test coverage 5) Prioritizing improvement opportunities based on impact vs effort analysis 6) Providing specific, actionable recommendations with implementation strategies 7) Estimating effort required for each recommendation (hours/days/weeks) 8) Suggesting migration paths or refactoring approaches where applicable. Focus on practical insights that development teams can immediately act upon.

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