peyton-jones-practical-haskell

Haskell space leaks from lazy evaluation are fixed by applying strictness annotations like bang patterns and reasoning about evaluation order. This Skill encodes heuristics for leveraging laziness efficiently while avoiding memory buildup.

Writing compiler-friendly Haskell code involves structuring functions for easy inlining and specialization by GHC. This Skill provides design intuitions for optimizing functional programs to maximize compiler performance.

Laziness in Haskell impacts performance by deferring evaluation, which can either optimize memory usage or cause space leaks if mismanaged. This Skill guides writing practical Haskell by addressing evaluation strategies and strictness.

Strictness annotations in Haskell are needed when lazy evaluation causes unnecessary memory retention or space leaks in performance-critical modules. This Skill helps determine optimal data structure usage and strictness application.

Bang patterns can be used to enforce strict evaluation and improve Haskell performance by preventing space leaks. This Skill explains how to apply these patterns following practical functional programming principles.

High memory usage in pure Haskell code often stems from unintended laziness creating space leaks. This Skill provides mental models for diagnosing evaluation strategies and writing memory-conscious functional code.