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The codebase adopts a Haskell-like programming model, embracing **pure functional** programming principles. The design is **language-agnostic**, meaning the business logic can be implemented consistently across different languages and runtimes.

This system enforces an explicit separation between **pure computations** and **impure side effects**, following established functional programming paradigms. Side effects (e.g., file I/O, networking, and database access) are modeled in a controlled and isolated way using **implicit continuation-passing style (CPS)**.

This model enforces an explicit separation between **pure computations** and **impure side effects**, following established functional programming paradigms. Side effects (e.g., file I/O, networking, and database access) are modeled in a controlled and isolated way using **implicit continuation-passing style (CPS)**.

In this model, all effectful computations are represented as higher-order functions.

All effectful computations are represented as higher-order functions.

### Type Signature Examples

def handler(req: Req) -> Callable[[IO], Awaitable[T]]

```

In these examples:

In these examples, illustrating the conceptual and syntactic equivalence of the functional signatures:

- `req` contains the pure input data (e.g., HTTP request or SQL parameters),

- `IO` is a token representing the **impure world** and must be explicitly passed to authorize the execution of effects.

- The return value (`Promise<T>` or `Awaitable[T]`) represents an asynchronous computation that eventually produces a value of type `T`.

These functions **do not** perform any side effects immediately. Instead, they return deferred computations that only execute once the `IO` token is provided.

### Code Examples

**JavaScript version:**

    return inner

```

These examples define side-effecting operations (`console.log` and `print`) that remain **pure descriptions** until explicitly invoked with the `IO` token. This mirrors the behavior of `IO` in languages like Haskell.

These functions **do not** perform any side effects immediately. Instead, they return deferred computations that only execute once the `IO` token is provided.

Side-effecting operations (`console.log` and `print`) remain **pure descriptions** until explicitly invoked with the `IO` token. This mirrors the behavior of `IO` in languages like Haskell.

## Language-Agnostic and Portable Design

All core abstractions (e.g., `InternalError`, `IO`, and `Maybe`) are designed to be **language-agnostic** and consistent in semantics. Business logic is also **runtime-agnostic**, as it is decoupled from specific platforms like Node.js or Python.

The code can be ported to any language that supports:

- First-class (including higher-order) functions

- Higher-order functions

- Asynchronous operations (e.g., `Promise<T>` in JavaScript or `Callable[[IO], Awaitable[T]]` in Python)

This design promotes **long-term maintainability**, **code reuse**, and **portability** across ecosystems.