Functional principles like declarativeness, immutability, composition, and purity are valuable but can be challenging to apply to real-world problems that involve side effects and imperative steps.
While achieving 100% purity in functions is impractical, setting constraints to create predictability can be beneficial, especially in testing scenarios.
Composability plays a crucial role in functional programming, and dependencies can be managed through injection chains or module imports, each with its own trade-offs.
Objects or classes can assist in structuring environments around behaviors, helping to isolate external dependencies while maintaining pure-ish behavior contracts.
Structuring for purity is more effective than solely pursuing purity, and creating well-defined boundaries allows for easier extension and adaptation.
Immutability aids in improving predictability by ensuring values do not unexpectedly change, with the key being to declare and stick to the intended contract.
Functional systems should be composed of focused units to enable easier change management and localization as the system complexity grows.
Functional and object-oriented principles can coexist effectively, with classes managing lifecycle and boundaries while functions express clear logic.
Applying functional programming tools like purity, immutability, and composition leads to clearer, more testable, and extensible code structures, regardless of the coding paradigm used.
Clear boundaries and well-defined contracts enhance system understandability, testing, and extensibility, making codebases easier to work with and maintain.
Functional principles continue to hold significance in software development by promoting control over behavior, clarity over data, and structured, scalable code.