GHCi vs Cabal Repl

Developers should use GHCi when working with Haskell for rapid prototyping, debugging, and exploring language features without the overhead of compiling full programs meets developers should use cabal repl when working on haskell projects that use cabal for dependency management and building, as it provides a convenient way to interactively test code snippets, inspect types, and debug functions within the context of the entire project. Here's our take.

GHCi

Nice Pick

Developers should use GHCi when working with Haskell for rapid prototyping, debugging, and exploring language features without the overhead of compiling full programs

Pros

• It is particularly useful for functional programming tasks, algorithm testing, and educational purposes where immediate feedback is valuable
• Related to: haskell, functional-programming

Cons

• Specific tradeoffs depend on your use case

Cabal Repl

Developers should use Cabal Repl when working on Haskell projects that use Cabal for dependency management and building, as it provides a convenient way to interactively test code snippets, inspect types, and debug functions within the context of the entire project

Pros

• It is particularly useful during development phases for rapid prototyping, verifying module imports, and experimenting with library APIs without needing to compile the entire project repeatedly
• Related to: haskell, cabal

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use GHCi if: You want it is particularly useful for functional programming tasks, algorithm testing, and educational purposes where immediate feedback is valuable and can live with specific tradeoffs depend on your use case.

Use Cabal Repl if: You prioritize it is particularly useful during development phases for rapid prototyping, verifying module imports, and experimenting with library apis without needing to compile the entire project repeatedly over what GHCi offers.

The Bottom Line

GHCi wins

Developers should use GHCi when working with Haskell for rapid prototyping, debugging, and exploring language features without the overhead of compiling full programs