Functional Programming Principles

Understands the fundamentals of Functional Programming Principles at a basic level. Applies simple concepts in work tasks using Elixir. Follows recommendations from senior developers when solving problems.

Understands the fundamentals of Functional Programming Principles at a basic level. Applies simple concepts in work tasks using Node.js 20+/TypeScript. Follows recommendations from senior developers when solving problems.

Understands the fundamentals of Functional Programming Principles at a basic level. Applies simple concepts in work tasks using Scala 3. Follows recommendations from senior developers when solving problems.

Applies FP principles naturally in Elixir: pattern matching, immutable data, pure functions, and pipe-based transformations. Understands when to use processes vs pure functions for state management. Reviews code for side-effect isolation and proper use of GenServer callbacks.

Applies FP principles in Node.js: pure functions, immutability with Object.freeze or Immer, and function composition. Uses higher-order functions and map/filter/reduce effectively. Understands closures and currying for reusable utilities. Reviews code for unnecessary mutations and side effects.

Confidently uses Scala FP idioms: case classes for immutable data, Option/Either for error handling, pattern matching, and for-comprehensions. Understands the trade-offs between OOP and FP styles in Scala. Applies FP principles in code review and explains monadic composition to colleagues.

Designs Elixir systems with deep FP expertise: supervision trees with pure business logic separated from side effects, data pipelines using Stream and Flow for backpressure-aware processing. Mentors team on monadic error handling with with-expressions and proper use of behaviours.

Designs Node.js architectures grounded in FP: effect systems separating pure logic from I/O, uses fp-ts or Effect for type-safe composition. Optimizes functional pipelines for production. Mentors developers on avoiding shared mutable state in async workflows and applying algebraic data types.

Designs production Scala systems using advanced FP: effect systems with Cats Effect or ZIO, tagless final encoding, and type-level programming. Architects services with pure core and thin I/O boundary. Mentors team on monad transformers, free monads, and functional error handling at scale.

Applies advanced functional patterns in Elixir: monadic chains through with, protocols for polymorphism, macros for metaprogramming. Designs modular systems with pure functions, pipe operators and pattern matching for complex business logic.

Defines FP standards: pure functions for business logic, fp-ts/Effect for type-safe error handling, pipe/compose for data transformations. Balances FP and OOP approaches by context.

Defines Functional Programming Principles usage standards at team/product level. Conducts architectural reviews. Creates best practices and training materials for the entire team.

Defines functional architecture for the entire Elixir platform. Develops macro-based DSLs for domain areas, designs libraries with protocols and behaviours. Implements algebraic data types and contract programming through typespecs and Dialyzer.

Shapes FP strategy for Node.js platform: Effect System for complex workflows, algebraic data types, functional error handling. Determines when FP vs OOP, plans adoption path.

Defines organizational FP strategy for Scala: selects effect systems (Cats Effect vs ZIO), establishes standards for functional domain modeling, drives adoption of property-based testing. Shapes technical vision for migrating legacy OOP codebases toward functional architectures.