Monads: Still Confusing People After All These Years
Let me tell you about Haskell evangelists—the programming world's equivalent of that friend who discovered CrossFit, craft beer, and Bitcoin in the same week and now it's their entire personality.
The Eternal Promise
Every year since 1990, the Haskell community has boldly declared: "THIS is the year Haskell goes mainstream!"
1990: "Once people understand monads, it's over for imperative languages!"
2000: "Web development is perfect for Haskell!"
2010: "Big data needs Haskell's purity!"
2020: "Blockchain and Haskell are meant to be!"
2023: "AI and Haskell... " [sound of everyone leaving the room]
It's like watching someone repeatedly announce they're going to start going to the gym. After the 30th announcement, we're starting to suspect it might not happen.
The Fundamental Problem: Solving the Wrong Problems
Here's the thing nobody wants to admit: Haskell is perfectly designed to solve problems that nobody actually has.
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Problems Haskell Solves
Mathematical purity, referential transparency, provable correctness, type-level programming, avoiding side effects, cate...
conceptHover for more
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Problems Developers Have
Shipping features on deadline, handling user input, database operations, API integrations, file I/O, debugging productio...
conceptHover for more
Notice the complete lack of overlap? That's not a coincidence.
The Purity Cult: When Ideology Meets Reality
"Haskell is PURE!" they scream, like it's a selling point and not a fundamental limitation.
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Reality Check: 99% of useful programs are nothing BUT side effects. Reading files, writing to databases, responding to HTTP requests, updating UI - it's all side effects. Haskell's response? Quarantine everything useful into the IO monad and pretend we're still pure.
Let me demonstrate the absurdity:
haskell
1 -- "Pure" Haskell function2 add :: Int -> Int -> Int3 add x y = x + y -- So pure! So elegant!4 5 -- Actual useful program6 main :: IO ()7 main = do8 putStrLn "What's your name?"9 name <- getLine10 putStrLn $ "Hello, " ++ name11 -- Congratulations, your entire program is now "impure"
Real World: "I need to read a file, update a database, and send an email."
Haskell: "Best I can do is wrap everything in IO monad and pretend we're still pure."
Real World: "That's just imperative programming with extra steps."
Haskell: "NO! It's PURE! The side effects are CONTAINED!"
Real World: "My entire program is side effects."
Haskell: "Then your entire program goes in the IO monad!"
Real World: "So... imperative programming with weird syntax?"
Haskell: [confused mathematical theorem noises]
The Monad Tutorial Industrial Complex
Want to understand monads? Great! Here are your options:
- •"Monads are like burritos"
- •"Monads are like space suits"
- •"Monads are like assembly lines"
- •"Monads are endofunctors in the category of—" [BRAIN.EXE HAS STOPPED RESPONDING]
There are more monad tutorials than there are Haskell programs in production. I'd prove this mathematically, but I'd probably need a monad for that.
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The dirty secret? Monads are just a design pattern for composing operations. That's it. In other languages, we just... compose operations. Without needing a PhD in category theory.
Every Haskell programmer goes through three stages:
- •"I don't understand monads"
- •"I UNDERSTAND MONADS! I must write a tutorial!"
- •"I don't understand monads"
Why Haskell Fails at Real Programming
1. The Learning Curve of Existential Dread
Want to learn Haskell? Here's your curriculum:
Week 1: Functions! This is nice!
Week 2: Recursion everywhere! Okay...
Week 3: Type signatures! Getting complex...
Week 4: Monads! What?
Week 5: Monad transformers! What??
Week 6: Lens! WHAT???
Week 7: Category theory! [enrolls in PhD program]
Week 8: Template Haskell! [existential crisis intensifies]
Week 47: "You know, Python's looking pretty good right about now"
Compare this to learning Python:
Day 1: Write useful programs
Day 2: Continue writing useful programs
Day 3-∞: Still writing useful programs, blissfully unaware of category theory
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Interview Horror Story: Common interview question: "How would you efficiently read a large file?"
What they want: "Read in chunks, use buffering, cache in memory, handle errors gracefully."
Python dev: "I'd use a buffered reader with a chunk size of 8KB, yield lines lazily to avoid memory issues."
Haskell dev: "First, let me define a monad transformer stack combining IO, State for the buffer, Either for errors, and Reader for configuration..."
3 hours later, still explaining the type signature
2. Simple Things Are Needlessly Complex
Want to parse JSON?
JavaScript:
JSON.parse(str)
Python: json.loads(str)
Go: json.Unmarshal([]byte(str), &result)Haskell:
haskell
1 {-# LANGUAGE OverloadedStrings #-}2 {-# LANGUAGE DeriveGeneric #-}3 4 import Data.Aeson5 import GHC.Generics6 import qualified Data.ByteString.Lazy as B7 8 data Person = Person9 { name :: String10 , age :: Int11 } deriving (Generic, Show)12 13 instance FromJSON Person14 instance ToJSON Person15 16 -- 47 more lines of boilerplate...
3. The Build System From Hell
Want to build a Haskell project? Hope you like:
- •Cabal hell (deprecated but still everywhere)
- •Stack (Cabal but different)
- •Nix (because one language wasn't complex enough)
- •GHC version conflicts
- •Resolver conflicts
- •Dependency conflicts
- •Conflicts with your will to live
And the compile times? Go make coffee. No, not instant coffee. Plant the coffee beans, wait for them to grow, harvest them, roast them, and then make coffee. Your project might be done compiling by then.
4. Error Messages From Another Dimension
Couldn't match type 'IO String' with '[Char]'
Expected type: String
Actual type: IO String
In the expression: getLine
In an equation for 'name': name = getLine
Translation: "You forgot to use
<- instead of ="Why not just SAY that?
The "What Language Are You Even Using?" Problem
No two Haskell projects use the same language!
haskell
1 {-# LANGUAGE OverloadedStrings #-}2 {-# LANGUAGE GADTs #-}3 {-# LANGUAGE TypeFamilies #-}4 {-# LANGUAGE DataKinds #-}5 {-# LANGUAGE PolyKinds #-}6 {-# LANGUAGE RankNTypes #-}7 {-# LANGUAGE FlexibleContexts #-}8 {-# LANGUAGE AllowAmbiguousTypes #-}9 {-# LANGUAGE TypeApplications #-}10 {-# LANGUAGE ScopedTypeVariables #-}11 {-# LANGUAGE DeriveFunctor #-}12 {-# LANGUAGE DeriveTraversable #-}13 {-# LANGUAGE DeriveFoldable #-}14 {-# LANGUAGE QuantifiedConstraints #-}15 {-# LANGUAGE UndecidableInstances #-}
It's not even the same language anymore! Every Haskell project is its own special snowflake dialect.
The Type System: An Exercise in Academic Showmanship
Haskell developers don't write programs. They write type signatures that happen to have implementations attached as an afterthought.
haskell
1 foo :: (Functor f, Applicative g, Monad m,2 MonadTrans t, MonadIO (t m),3 HasCallStack, Typeable a)4 => (∀ b. f b -> g b)5 -> t m (f (g a))6 -> IO (Either String (g a))
"Isn't it BEAUTIFUL?" they ask, tears streaming down their face.
"What does it do?" you ask.
"Who cares! Look at that type signature! The implementation is trivial!"
Narrator: The implementation was not trivial. It took 3 weeks and made two senior developers question their career choices.
The "It's Actually Practical" Delusion
Haskell Fan: "Haskell prevents entire classes of bugs!"
Me: "Like what?"
Haskell Fan: "Null pointer exceptions!"
Me: "So does Rust, Kotlin, Swift, and modern C++. What else?"
Haskell Fan: "Race conditions!"
Me: "By not having real threads?"
Haskell Fan: "Type errors!"
Me: "My Python code has tests and ships to millions of users."
Haskell Fan: "But it's not PROVABLY CORRECT!"
Me: "Neither is your Haskell when it can't connect to the database because you're 17 monad transformers deep and lost track of reality."
The Academic Echo Chamber
Haskell isn't a programming language. It's a research paper that accidentally became executable.
Every Haskell feature:
- •PhD student proposes incomprehensible feature
- •Three professors write papers about it
- •Feature gets added with unpronounceable name
- •Nobody uses it except other PhD students
- •"Why isn't Haskell mainstream?" they wonder
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The language is designed by people who've never had to ship anything on a deadline to actual users who just want their invoice to download without a PhD in category theory.
Real Problems Haskell Can't Solve Elegantly
Debugging Production Issues
Other languages: Set breakpoint, inspect state, fix bug
Haskell: "Debugging? Just read the types! They tell you everything!" [Production remains broken]
Onboarding New Developers
Other languages: "Here's our codebase, you'll be productive in a week"
Haskell: "Here's our codebase, see you after your category theory course"
Incremental Development
Other languages: Write function, test it, repeat
Haskell: Write entire program, fight type checker for 3 hours, realize your design is wrong, start over
Library Ecosystem
Need a library for X in Python? 47 options, pick the most popular
Need a library for X in Haskell? 3 options, all abandoned, 2 require GHC extensions that conflict with each other
The Evangelical Complex
Haskell developers don't just use Haskell. They EVANGELIZE it. They're the door-to-door missionaries of the programming world, except instead of asking if you've found Jesus, they ask if you've found functional purity.
They show up to every discussion:
- •"Python is nice, but have you considered Haskell?"
- •"JavaScript could learn from Haskell's type system"
- •"Go would be better if it was Haskell"
- •"Rust is just Haskell with worse syntax"
- •"Your grandmother's cookie recipe would benefit from monadic composition"
No, Jeremy. Rust is Haskell that went to therapy, got a real job, and realized that systems programming requires actual memory control, not just beautiful abstractions.
The Elephant in the Room
Here's the truth: Haskell is a beautiful language for solving computer science problems. Unfortunately, most of us are trying to solve business problems.
While Haskell developers are debating whether
Applicative should be a superclass of Monad, the rest of us are:- •Shipping features
- •Serving customers
- •Processing payments
- •Scaling systems
- •Training juniors
- •Meeting deadlines
- •Getting paid
You know, actual programming.
In Conclusion
Haskell will go mainstream the same year that:
- •Mathematicians become good at user interface design
- •Academic papers start including "Developer Experience" sections
- •Category theory becomes required learning in bootcamps
- •Users start caring about referential transparency
- •My code works on the first try
Haskell is like that exercise bike in your garage. In theory, it's superior to walking. In practice, you're never going to use it, and you feel guilty every time you see it.
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The Hard Truth: Maybe—and hear me out—maybe the problem isn't that the rest of the world doesn't understand Haskell. Maybe the problem is that Haskell doesn't understand the rest of the world.
Programming languages are tools for solving problems. When your tool requires a PhD to use effectively, makes simple things complex, and treats real-world concerns as impurities to be quarantined, you haven't built a better tool. You've built an impressive academic achievement that happens to compile.
Meanwhile, I'll be over here writing wonderfully impure JavaScript that successfully connects to databases without requiring a PhD dissertation on monad transformers.