gleam-lang/stdlib
Sep 2025 – Sep 2025
1 Month active
Languages Used
Gleam
Technical Skills
Algorithm OptimizationCode ClarityCode ReadabilityFunctional ProgrammingInternal RefactoringRefactoring
Gareth Pendleton
PROFILE
Gareth Pendleton
Worked on the gleam-lang/stdlib repository to deliver a performance-optimized implementation of the List.permutations function, utilizing a zipper-based algorithmic approach in Gleam. This enhancement achieved approximately 1.8 times faster execution and reduced memory usage by over 1.5 times, directly improving the efficiency of list operations. Alongside the feature work, focused on internal refactoring within the list module, renaming helper functions and variables to improve code clarity and maintainability. All changes preserved the external API and functional programming paradigms, ensuring seamless adoption for downstream projects while supporting future enhancements through improved code readability and internal structure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
97
Activity Months1
Your Network
39 peopleShared Repositories
39
Work History
September 2025
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on delivering tangible performance improvements in the stdlib and improving code maintainability, while preserving external behavior. Delivered a performance-optimized List.permutations using a zipper-based approach, achieving approximately 1.8x speedup and over 1.5x reduction in memory usage. Completed internal refactors in the list module (renaming internal helpers and variables) to enhance clarity and maintainability for future enhancements. All changes maintain API compatibility and are ready for broader adoption in downstream projects.
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on delivering tangible performance improvements in the stdlib and improving code maintainability, while preserving external behavior. Delivered a performance-optimized List.permutations using a zipper-based approach, achieving approximately 1.8x speedup and over 1.5x reduction in memory usage. Completed internal refactors in the list module (renaming internal helpers and variables) to enhance clarity and maintainability for future enhancements. All changes maintain API compatibility and are ready for broader adoption in downstream projects.
September 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Gleam
Technical Skills
Algorithm OptimizationCode ClarityCode ReadabilityFunctional ProgrammingInternal RefactoringRefactoring
Repositories Contributed To
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