Functional Programming: The Art of Folding the Problem Space

2025-03-21

This article explores the differences between functional programming (using Haskell as an example) and imperative programming when solving complex problems. Imperative programming can easily lead to code bloat, like drawing a straight line on paper, while functional programming is like folding the paper, cleverly "folding" the problem space, reducing dimensionality, and ultimately achieving the goal with concise code. The article uses the author's practical experience to illustrate how functional programming builds small modules and combines them to create rich ecosystems, and how to use features like monads to achieve elegant code combinations, ultimately avoiding the common code bloat and maintainability issues of imperative programming.

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Development code design

Ten Bold Ideas for the Future of Programming Languages

2025-01-08

A seasoned programmer proposes ten innovative ideas for the future of programming languages, covering aspects such as function call mechanisms, capability programming, production-level features, semi-dynamic languages, persistent data stores, truly relational languages, modular monoliths, and modular linting. These ideas aren't entirely novel but rather refinements and integrations of existing concepts, aiming to improve programming efficiency and code quality. The article explores incorporating best practices like structured logging and metrics gathering into the language itself, and enhancing the performance of dynamic languages.

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Development