PlakarKorp/plakar
Jun 2025 – Jun 2025
1 Month active
Languages Used
GoMakefileprotobuf
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentBuild AutomationBuild SystemCI/CD
Landry Gigant
PROFILE
Landry Gigant
Worked on the PlakarKorp/plakar repository to deliver core enhancements to gRPC-based storage systems, focusing on performance, maintainability, and developer workflow. Improved throughput and reliability by increasing buffer sizes, centralizing context management, and enabling incremental reading for large files. Refined the gRPC importer API by clarifying type semantics and separating resource management, which enhanced code clarity and maintainability. Streamlined build automation by introducing new protobuf definitions and transitioning from Docker-based generation to portable Makefile rules, removing external dependencies. Utilized Go, Protocol Buffers, and Makefile to ensure scalable storage access and a more efficient, portable build and test process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
1,654
Activity Months1
Your Network
81 peopleSame Organization
@epitech.eu57
Work History
June 2025
12 Commits • 3 Features
Jun 1, 2025June 2025 summary for PlakarKorp/plakar: Delivered core gRPC storage performance and API enhancements, refined gRPC importer semantics, and streamlined protobuf/build tooling. No critical user-facing bugs fixed; maintenance work focused on cleanup and consistency. These changes improve throughput, reliability, and developer productivity, while enabling more scalable and maintainable storage access.
12 Commits • 3 Features
Jun 1, 2025June 2025 summary for PlakarKorp/plakar: Delivered core gRPC storage performance and API enhancements, refined gRPC importer semantics, and streamlined protobuf/build tooling. No critical user-facing bugs fixed; maintenance work focused on cleanup and consistency. These changes improve throughput, reliability, and developer productivity, while enabling more scalable and maintainable storage access.
June 2025
Activity
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Quality Metrics
Correctness91.8%
Maintainability90.0%
Architecture85.0%
Performance88.4%
AI Usage21.8%
Skills & Technologies
Programming Languages
GoMakefileprotobuf
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentBuild AutomationBuild SystemCI/CDCode CleanupCode RefactoringContext ManagementContext PropagationDockerGoGo ModulesIO OperationsPerformance Tuning
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