littlehorse-enterprises/littlehorse
May 2025 – May 2025
1 Month active
Languages Used
C#GoJavaKotlinPython
Technical Skills
.NET SDKAPI DevelopmentBackend DevelopmentError HandlingGo DevelopmentJava
Mauricio Pérez
PROFILE
Mauricio Pérez
Mauricio focused on stabilizing user task assignment in the littlehorse-enterprises/littlehorse repository by implementing robust cross-language input validation. He addressed a recurring issue where empty userId or userGroup values, often caused by extraneous whitespace, led to invalid task creation and downstream errors. Using C#, Go, and Python, Mauricio enforced non-empty values after trimming input and integrated comprehensive error handling. He extended these changes across the Python SDK, Go SDK, .NET SDK, and server models, ensuring consistency throughout the platform. End-to-end and unit tests were added to validate the new logic, reducing support overhead and reinforcing data integrity.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
0
Lines of code
329
Activity Months1
Your Network
16 peopleSame Organization
@littlehorse.io4
Shared Repositories
12
Work History
May 2025
4 Commits
May 1, 2025May 2025 performance summary for littlehorse (littlehorse-enterprises/littlehorse): Stabilized user task assignment by implementing cross-language input validation across Python SDK, Go SDK, .NET SDK, and server models. Ensured non-empty userId/userGroup after trimming whitespace, with robust error handling and added end-to-end tests. This reduces invalid task creations, downstream errors, and support overhead, while reinforcing data integrity across the platform.
4 Commits
May 1, 2025May 2025 performance summary for littlehorse (littlehorse-enterprises/littlehorse): Stabilized user task assignment by implementing cross-language input validation across Python SDK, Go SDK, .NET SDK, and server models. Ensured non-empty userId/userGroup after trimming whitespace, with robust error handling and added end-to-end tests. This reduces invalid task creations, downstream errors, and support overhead, while reinforcing data integrity across the platform.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#GoJavaKotlinPython
Technical Skills
.NET SDKAPI DevelopmentBackend DevelopmentError HandlingGo DevelopmentJavaPythonSDK DevelopmentSoftware DevelopmentTestingUnit Testing
Repositories Contributed To
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