C++ Programming
Use when asked to write, explain, or debug general-purpose C++ code — RAII and smart pointers, classes and templates, move semantics — as the object-oriented/generic-programming superset built on c-programming.
Lily Design System › Programming languages
19 skills.
C Programming
Use when asked to write, explain, or debug general-purpose C code — pointers and manual memory management, structs, the preprocessor, undefined behavior — as the low-level foundation c-plus-plus-programming builds on.
C# Programming
Use when asked to write, explain, or debug general-purpose C# code — properties and classes, LINQ, async/await, nullable reference types — independent of the broader dot-net-programming platform/runtime or any specific .NET framework (ASP.NET Core, Blazor).
Delphi Programming
Use when asked to write, explain, or debug Delphi/Object Pascal code — classes and interfaces, properties, the VCL/FireMonkey component model, units — as the object-oriented dialect built on pascal-programming.
.NET Programming
Use when asked about the .NET platform/runtime and tooling itself — the CLR, the base class library, project SDKs and NuGet, cross-language interop — as distinct from any one .NET language (see c-sharp-programming) or framework (see blazor-programming).
Go Programming
Use when asked to write, explain, or debug general-purpose Go code — goroutines and channels, error handling idioms, interfaces, modules — independent of any specific framework.
JavaScript Programming
Use when asked to write, explain, or debug general-purpose JavaScript code — language fundamentals (scoping, closures, `this`, prototypes/classes), async code with Promises/async-await, modules (ESM vs CommonJS), or common runtime pitfalls — independent of any testing framework or UI library.
Julia Programming
Use when asked to write, explain, or debug general-purpose Julia code — multiple dispatch, type stability for performance, broadcasting, the package manager — for high-performance numerical/scientific computing, distinct from r-programming's statistics-first focus.
Kotlin Programming
Use when asked to write, explain, or debug general-purpose Kotlin code — null safety, data classes, coroutines, extension functions — independent of any specific target (Android, JVM backend, Kotlin Multiplatform).
Lisp Programming
Use when asked to write, explain, or debug general-purpose Lisp code (Common Lisp) — s-expressions, macros/code-as-data, recursion — as the historical family scheme-programming is a smaller, more minimalist dialect within.
Objective-C Programming
Use when asked to write, explain, or debug general-purpose Objective-C code — message-passing syntax, properties and ARC, protocols, interop with C — as the predecessor language swift-programming largely supersedes on Apple platforms.
Pascal Programming
Use when asked to write, explain, or debug general-purpose (standard/Free) Pascal code — strong static typing, structured programming constructs, units — as the language delphi-programming's Object Pascal dialect extends.
Python Programming
Use when asked to write, explain, or debug general-purpose Python code — language idioms (comprehensions, generators, context managers), typing, virtual environments/packaging, or common runtime pitfalls (mutable default arguments, the GIL) — independent of any testing framework or web framework.
R Programming
Use when asked to write, explain, or debug general-purpose R code — vectors and vectorization, data frames, the tidyverse/base-R split, functions — for statistical computing and data analysis, distinct from julia-programming's numerical-computing focus.
Rust Programming
Use when asked to write, explain, or debug general-purpose Rust code — ownership and borrowing, `Result`/`Option` error handling, traits and generics, or Cargo workflows — independent of any testing framework or web/UI crate.
Scheme Programming
Use when asked to write, explain, or debug general-purpose Scheme code — minimal core syntax, tail-call optimization, first-class continuations — as the smaller, more minimalist Lisp dialect distinct from lisp-programming (Common Lisp).
Swift Programming
Use when asked to write, explain, or debug general-purpose Swift code — optionals, structs vs classes, protocols and protocol-oriented programming, async/await — independent of any UI framework (SwiftUI, UIKit).
TypeScript Programming
Use when asked to write, explain, or debug general-purpose TypeScript code — the type system (interfaces, generics, unions, narrowing), tsconfig options, or common typing pitfalls (`any` vs `unknown`, structural typing) — independent of any testing framework or UI library.
Zig Programming
Use when asked to write, explain, or debug general-purpose Zig code — explicit error handling and no hidden control flow, comptime, manual memory management with allocators — as a modern, safer alternative in the same low-level niche as c-programming.