Dynamic

GHCi vs Stack 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 stack repl when working on haskell projects with stack to quickly test functions, debug code, or explore libraries without compiling entire projects. Here's our take.

🧊Nice Pick

GHCi

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

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

Stack Repl

Developers should use Stack Repl when working on Haskell projects with Stack to quickly test functions, debug code, or explore libraries without compiling entire projects

Pros

  • +It is particularly useful for iterative development, learning Haskell syntax, and verifying behavior in a controlled environment that mirrors the project's dependency setup
  • +Related to: haskell, stack-build-tool

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 Stack Repl if: You prioritize it is particularly useful for iterative development, learning haskell syntax, and verifying behavior in a controlled environment that mirrors the project's dependency setup 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

Disagree with our pick? nice@nicepick.dev