Kurt Kluever is a Staff Software Engineer with 14 years of experience focused on Java libraries, APIs, static analysis, and developer tooling while based in Hoboken, NJ. At Google he drives code quality and modernization across core projects—contributing to high-profile open-source efforts like Guava, gRPC-Java, Dagger, Bazel, and Copybara. He excels at refactoring, migrating deprecated APIs, tightening tests, and applying ErrorProne annotations to prevent class-wide mistakes, showing a pragmatic obsession with maintainability. Kurt blends backend engineering with QA/test automation sensibilities, routinely improving test suites and build reliability. His work on widely used projects (e.g., Joda-Time and Google’s dependency-injection and compiler tooling) reflects deep domain knowledge of Java internals and libraries. Colleagues would call him a collaborator who practices the philosophy he quotes: building durable systems by building the right team.
14 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Rochester Institute of Technology
Contributions:15 commits, 9 PRs, 4 pushes in 8 years 6 months
Contributions summary:Kurt primarily focused on refactoring and updating the codebase to align with changes in the Truth library, migrating usages of deprecated methods and package names. They updated test files to use the new Truth assertions and related methods. Additionally, the user made code improvements by migrating from Truth's `ASSERT` to `assert_()` and `assertThat()` calls.
Contributions:2 reviews, 670 commits, 122 PRs in 11 years 4 months
Contributions summary:Kurt's commits primarily involve modifying and enhancing core Java libraries, which are at the heart of the Google Guava project. Their work includes refactoring tests, fixing documentation, and adding features such as the handling of duration-based intervals and other utilities to make those operations more efficient. They also addressed bug fixes, code cleanup, and optimizations to increase performance.
guavajavacore-libraries
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