Haskell

Haskell — programming language for general-purpose and domain-specific development.

LanguagesComplex

Stack Components

LanguageGHC 9.8

RuntimeGHC RTS

TypesStatic

Why

Each language has unique strengths in performance, safety, ecosystem, and expressiveness. JavaScript is used by 62% of developers per the Stack Overflow 2024 survey, Python 51%, and Rust is the most-admired language at 83% retention (Stack Overflow 2024).

TypeScript adds compile-time safety that reduces runtime errors by 40-70% per Microsoft's internal studies.

When

Use Haskell where its strengths align with project needs. Avoid hype-driven language switching.

How

1. Install Haskell toolchain 2. Initialize project 3. Write code 4. Build/run/test 5. Add environment configuration — cp .env.example .env && edit values 6. Run tests — npm test or pnpm test to verify setup 7. Deploy — git push to trigger CI/CD or manual deploy

Example

// Haskell hello world fn main() { println!("Hello from Haskell"); } // Haskell — usage example import { Haskell } from "lang-haskell"; const result = await haskell({ input: "data" }); console.log(result);

Common Problems

⚠Haskell version fragmentation — pin toolchain version
⚠Slow compile times in {ne} — use incremental compilation
⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

✓Use Haskell's official formatter and linter for consistency
✓Leverage {ne} package manager for reproducible builds
✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is Haskell and what projects is it for?

Haskell — programming language for general-purpose and domain-specific development. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with Haskell in 10 minutes?

Two steps: (1) Install Haskell toolchain; (2) Initialize project. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with Haskell and how do I avoid it?

The most common pitfall is: Haskell version fragmentation — pin toolchain version. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for Haskell?

Best practices for Haskell include: Use Haskell's official formatter and linter for consistency; Leverage {ne} package manager for reproducible builds; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use Haskell's official formatter and linter for consistency" — should be set up at project init to avoid costly rework later.

When should I NOT choose Haskell?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Haskell shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.