USE_CASES.md

USE_CASES.md

This document outlines the main use cases that the hexaFn project is designed to solve, along with example scenarios and benefits for developers and users.

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🎯 Primary Purpose

hexaFn aims to be a modular, testable, and open-source functional utility toolkit that improves code reliability, clarity, and expressiveness in Rust projects.

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🧰 Use Case 1: Functional Helpers

Problem

Rust lacks built-in higher-order utility functions that are ergonomic.

Solution

hexaFn provides reusable functional patterns (e.g., pipe, compose, tap, curry) that help with chaining and composing functions without complex boilerplate.

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⚙️ Use Case 2: Clean Pipelines for Data Transformation

Problem (Use Case 2)

Data transformation pipelines become verbose or hard to debug.

Solution (Use Case 2)

hexaFn enables declarative data manipulation using readable pipeline-style syntax, reducing nesting and cognitive load.

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🧪 Use Case 3: Safer Expression Handling

Problem (Use Case 3)

Chaining operations with side-effects or unwraps can introduce runtime errors.

Solution (Use Case 3)

The library wraps side-effects and provides safer alternatives to map/and_then chains using controlled context-aware execution utilities.

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🔄 Use Case 4: Testable and Predictable Function Chains

Problem (Use Case 4)

Inconsistent or untestable chains of closures across codebases.

Solution (Use Case 4)

With structured chaining, currying, and composability, test coverage becomes easier and logic becomes clearer.

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🧩 Use Case 5: Compose-like Behavior in Microservices

Problem (Use Case 5)

Repeated logic across microservice layers without reuse.

Solution (Use Case 5)

hexaFn enables logic reuse by composing independent, pure functions that can be injected or reused across service layers.

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👤 Use Case 6: Empowering Beginners in Functional Rust

Problem (Use Case 6)

New developers struggle with Rust’s functional programming style.

Solution (Use Case 6)

By introducing intuitive utilities and documentation, hexaFn helps onboard contributors and learners with clean patterns and understandable utilities.

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These use cases represent practical examples of how hexaFn enhances productivity and reliability in modern Rust applications.