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
Worked on the littlehorse-enterprises/littlehorse repository to enhance the stability of user task assignments by implementing robust input validation across multiple SDKs and server models. Addressed a critical issue where empty userId or userGroup values, after trimming whitespace, could lead to invalid task creation and downstream errors. Leveraged skills in .NET SDK, Go, and Python to enforce non-empty values and integrated comprehensive error handling. Developed and executed end-to-end tests to ensure the reliability of the validation logic, ultimately reducing support overhead and reinforcing data integrity throughout the platform’s backend and API layers during the development period.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
0
Lines of code
329
Activity Months1
Your Network
18 peopleSame Organization
@littlehorse.io5
Shared Repositories
13
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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