Monad Transformer Stack Support

[stud1999]

Implement Monad Transformers to enable stacking multiple monadic effects (Option, Result, Async, State, Reader, Writer) in a composable way. This solves the problem of nested monads and provides a unified interface for multi-effect computations.

Technical Details:

• OptionT, ResultT, AsyncT transformers
• StateT for threading state through computations
• ReaderT for dependency injection pattern
• WriterT for logging accumulation
• Lift operation to access underlying monads
• Mtl-style type classes for effect abstraction
• Integration with existing effect builders

Use Cases:

• Complex business logic with multiple effects
• Async error handling with logging
• State management in async workflows
• Dependency injection with error handling
• Testing with mock environments
• Layered application architecture

Implementation Challenges:

• Type inference explosion
• Performance overhead of nesting
• Complex type signatures
• Limited Python type system features
• Integration with effect builders