Monday, September 07, 2026

Microsoft Koka Programming Language vs Rust

Microsoft research developed a memory-safe language, but still using Rust to replace C++.
Interesting...

The Koka Programming Language

A Functional Language with Effect Types and Handlers

Perceus: Garbage Free Reference Counting with Reuse
Microsoft Technical Report, MSR-TR-2020-42, Nov 29, 2020, v2.


Koka and Nim are modern programming languages that use advanced reference counting memory management. Koka utilizes the Perceus compiler framework to achieve garbage-collection-free execution, while Nim implements scope-based reference counting and its own ORC collector variant. [1, 2]


Koka and Perceus
  • Garbage-free design: Perceus inserts precise reference counting instructions at compile time so programs free memory instantly when references drop to zero.
  • No runtime overhead: Koka compiles directly to C without a traditional garbage collector or heavy runtime system.
  • Reuse analysis: The compiler detects dead objects and reuses their memory for in-place updates, enabling "functional but in-place" (FBIP) programming.
  • Effect handlers: Koka tracks side effects in function types and lets users define custom control flows like async/await or exceptions safely. You can read more in The Koka Programming Language documentation. [1, 4]
Nim and Reference Counting
  • Scope-based approach: Nim relies on deterministic, scope-based reference counting using non-atomic operations for high performance.
  • ORC/ARC integration: Nim can use ARC (Automatic Reference Counting) or ORC (Optimized Reference Counting), which adds cycle collection to handle reference loops.
  • Manual controls: Nim offers annotations like for data types and to bypass reference counting overhead on specific variables.
  • Explore the community implementation guide on DEV Community.
  • Discuss memory models on the Nim forum. [2, 5]
If you'd like, let me know:
  • Are you planning a project using Koka's effect handlers or Nim's system programming features?
  • Would you like a code example demonstrating memory reuse or effect handling?

AI responses may include mistakes.

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