clojure

To enforce naming conventions in Clojure, name pure computations as nouns and state changes as verbs. This distinction clarifies function intent during code reviews and maintenance, ensuring consistency across Clojure and ClojureScript projects.

The best way to optimize Clojure performance is by preferring eager operations, utilizing transducers, and applying batch processing where appropriate. These techniques reduce intermediate allocations and improve overall computational throughput.

Yes, this approach works for both Clojure and ClojureScript codebases. It applies naming guidelines and performance best practices uniformly across both languages during development, onboarding, and code reviews to maintain code quality.

To apply performance best practices during Clojure code reviews, enforce docstring requirements for public functions and promote eager operations, transducers, and batch processing to optimize execution speed and consistency.

You should use batch processing in Clojure when optimizing performance for large datasets. Pairing it with eager operations and transducers minimizes overhead and improves execution efficiency during complex data transformations.

Requiring docstrings for public functions in Clojure improves code maintainability and clarity. It enforces documentation standards during development, helping reviewers and maintainers understand function intent and performance expectations.