Learn Mercury - 10 Code Examples & CST Typing Practice Test
Mercury is a purely declarative logic programming language with strong typing, determinism analysis, and a focus on reliability and performance. It is designed for building large-scale, maintainable, and efficient logic programs while avoiding common pitfalls of traditional Prolog systems.
View all 10 Mercury code examples →
Learn MERCURY with Real Code Examples
Updated Nov 20, 2025
Architecture
Declarative logic programming paradigm
Strong typing with compile-time checks
Determinism analysis for predicates
Module-based organization
Optimized native code generation
Rendering Model
Mercury source code
Compiled by Mercury compiler
Predicates and functions executed deterministically
Modules organize code
FFI for integrating with external systems
Architectural Patterns
Declarative logic
Module-based organization
Static typing and mode-checking
Determinism enforcement
Optimized compilation pipeline
Real World Architectures
Knowledge-based systems
Symbolic computation pipelines
Constraint-solving engines
Formal verification tools
Academic research projects
Design Principles
Declarative logic programming
Strong typing and mode analysis
Determinism checking
Separation of logic and control
Optimized compilation for performance
Scalability Guide
Organize large logic programs into modules
Use deterministic predicates when possible
Optimize recursion for large data sets
Test modules independently
Integrate with other systems via FFI efficiently
Migration Guide
Port Prolog projects to Mercury for type safety
Update predicates to include modes and determinism
Refactor code into modules
Compile and test with Mercury compiler
Leverage FFI for external system integration
Frequently Asked Questions about Mercury
What is Mercury?
Mercury is a purely declarative logic programming language with strong typing, determinism analysis, and a focus on reliability and performance. It is designed for building large-scale, maintainable, and efficient logic programs while avoiding common pitfalls of traditional Prolog systems.
What are the primary use cases for Mercury?
Logic-based and symbolic programming. Constraint solving. Knowledge representation. Formal verification and theorem proving. Academic research and teaching
What are the strengths of Mercury?
Eliminates many runtime errors via type and mode checking. Predictable declarative behavior. Efficient execution through optimized compilation. Highly maintainable large logic programs. Facilitates reasoning about program correctness
What are the limitations of Mercury?
Smaller ecosystem and community. Steeper learning curve than Prolog for beginners. Limited libraries for modern software development. Not suitable for mainstream web or mobile apps. Requires strict adherence to modes and types
How can I practice Mercury typing speed?
CodeSpeedTest offers 10+ real Mercury code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.