Explore the principles of Test-Driven Development (TDD) and how to apply them in Clojure development. Learn through examples of writing tests before code, drawing parallels with Java.
Explore the trade-offs between achieving high test coverage and the effort required in Clojure development. Learn to focus on critical code paths for effective testing.
Explore the concept of property-based testing in Clojure using `test.check`, and learn how it can enhance your testing strategy by validating code properties across diverse inputs.
Explore how to analyze quality metrics in Clojure, focusing on cyclomatic complexity, code smells, and tools like eastwood and kibit for code quality analysis.
Explore strategies to enhance code quality in Clojure, including refactoring, testing, and adhering to coding standards, with insights for Java developers transitioning to Clojure.
Explore how transitioning from Java OOP to Clojure's functional programming paradigm can enhance code quality and productivity. Learn through real-world examples and metrics.
Learn how to avoid side effects in functions to master pure functional programming in Clojure. Understand the impact of side effects, explore common examples, and discover strategies to refactor impure functions.
Explore how Clojure's pure functions and immutability enhance testability, making unit tests straightforward and maintainable for Java developers transitioning to functional programming.
Explore essential linting and static analysis tools for Clojure, including clj-kondo, eastwood, and kibit. Learn how to integrate these tools into your development workflow to maintain high code quality and enforce coding standards.
Explore the intricacies of identifying side effects in code, with a focus on Clojure and functional programming principles. Learn how to isolate side effects to enhance code reliability and maintainability.
Explore the core principles of Test-Driven Development (TDD) and its application in Clojure, enhancing code quality and developer confidence through a structured testing approach.
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