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This article outlines principles and methods for optimizing code performance, primarily using C++ examples. It emphasizes the importance of considering efficiency during development to avoid performance issues later. The authors also provide practical advice for estimating performance impacts while writing code.
A community-driven resource for coding with AI tools, providing practical techniques across various development stages, from planning to refactoring. It emphasizes the importance of clear specifications, the use of context files, and iterative collaboration with AI assistants to enhance coding efficiency and effectiveness.