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• Eliminate duplication: DRY (don’t repeat yourself) isn’t just for elegance — fewer lines mean fewer bugs and a smaller surface for optimization.
• Prefer composition over sizey inheritance: Composition keeps code modular and easier to compress into reusable primitives.
• Refactor to primitives: Identify small primitives that cover many cases. Consolidate specialized code paths into configurable primitives rather than many copies.
• Leverage language features: Use concise idioms (e.g., map/filter/reduce or modern language constructs) that express intent clearly and often more compactly.
• Static analysis & tree-shaking: Use bundlers that remove unused code. Mark side-effect-free modules so compilers can safely eliminate dead code.
• Minify and compress for shipping: For front-end apps, use minifiers + gzip/Brotli; for back-end, strip debug symbols and use language-specific optimizations.
• Data over code: Sometimes shifting complexity into compact data structures or configuration reduces code volume and increases clarity.
• Lazy-loading and on-demand work: Only load and run what’s necessary, keeping the initial footprint small.

Ease of Use

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Future Research Directions