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An analysis of why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.
Discover a collection of invaluable 'tricks of the trade' from seasoned professionals, covering everything from writing better documentation and code to making smarter financial decisions and finding a healthier work-life balance.
Learn how to refactor and document your legacy codebase to make it more accessible and manageable for future AI tools. Key tips include modularization, clear interfaces, and robust testing.