Programming

Point-free Programming via HKTs

Implementing point-free (tacit) programming patterns in TypeScript using Higher Kinded Types to overcome traditional type system limitations. Point-free style eliminates explicit arguments, composing functions like pipe(map(inc), filter(isEven), reduce(add)) instead of x => x.map(inc).filter(isEven).reduce(add). Through HKT encodings, we achieve true tacit programming where type inference flows through the entire pipeline, enabling cleaner functional abstractions without sacrificing TypeScript’s type safety.

Variadic HKT Composition

Extending Higher Kinded Types with variadic composition patterns, enabling clean functional composition while preserving complete type information. Building on HKT foundations, this explores variadic compositions where Compose<[F, G, H, ...]> handles arbitrary function chains with full type inference. Using advanced tuple manipulation and distributive conditional types, we achieve compositions like pipe(map, flatten, filter, reduce) that maintain type safety across any number of transformations - a significant advancement in TypeScript’s functional programming capabilities.

Higher Kinded Types in Typescript

A comprehensive introduction to Higher Kinded Types in TypeScript, exploring how to encode and utilize these powerful abstractions from functional programming. HKTs enable type constructors that take other type constructors as arguments - imagine Functor<F> that works for any F<T> whether it’s Array<T>, Promise<T>, or Option<T>. Through encoding techniques using interface augmentation and symbol keys, we can simulate HKTs in TypeScript, making possible advanced functional patterns like monadic composition and type-safe algebraic structures previously impossible in the language.

Programs of Length N: Collatz, Chaitin, and Church

How many lambda calculus programs exist with exactly $N$ terms? This exploration dives into deep questions about computational complexity, from counting programs like (λx. x x) (λx. x x) to analyzing the non-computable BB(N) busy beaver function that grows faster than any computable sequence. We examine Chaitin’s constant $Ω$ and why determining program convergence connects to unsolved problems like the Collatz conjecture collatz(3n + 1).