Connor Skees is a software engineer with eight years of experience building robust back-end systems and real-time collaboration features, currently contributing to Figma after working on collaborative editing algorithms at Microsoft Word. He has a track record of improving code quality and reliability—enabling strict null checks and writing obliterate tests for complex merge-tree scenarios—and has contributed pragmatic enhancements to widely used open-source projects like schedule and Photon. Connor combines full-stack sensibilities with automation expertise (see his DeleteFB tool) and a knack for refactors that make projects easier to run and debug. Based in New York, he balances production-grade engineering with thoughtful developer ergonomics, often adding clearer errors, logging, and test coverage where systems need them. An interesting throughline in his work is making low-level collaboration and crawling tools both safer and more maintainable, reflecting a preference for durable, developer-friendly solutions.
Contributions:44 commits, 5 PRs, 9 comments in 2 years 1 month
Contributions summary:Connor primarily focused on improving the robustness and maintainability of the `schedule` library. Their contributions involved adding more descriptive exception messages to provide better debugging information. They also addressed code quality by fixing line lengths and changing `ValueError` exceptions to more specific `ScheduleValueError` instances and implemented comprehensive unit tests to reflect these changes. Furthermore, the user corrected logic errors and improved the test suite.
Contributions:22 commits, 4 PRs, 14 comments in 6 months
Contributions summary:Connor primarily focused on refactoring and enhancing the `photon` crawler. Their commits demonstrate modifications to the core functionalities, including the addition of an exclude option via regex and several code optimizations. They also made improvements to the utility functions and import statements. These changes suggest an effort to improve the crawler's flexibility, efficiency, and code quality.
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