edx/learning-assistant
Sep 2025 – Oct 2025
2 Months active
Languages Used
PythonRST
Technical Skills
API DevelopmentAPI TestingBackend DevelopmentContent ProcessingPythonSystem Design
naincy128
PROFILE
Naincy128
Worked on the edx/learning-assistant repository, delivering a robust content trimming feature for long-form unit content to ensure compliance with configurable token and character limits. Applied Python and system design skills to implement proportional trimming of content represented as lists of dictionaries, dynamically adjusting after formatting and improving handling of edge cases such as empty content. Enhanced character counting and expanded unit testing to ensure reliability and maintainability. Additionally, addressed a bug in Xpert Assistant’s processing of large system messages, updating release management artifacts and changelogs to support traceability and smoother deployment, while validating fixes through targeted API testing and documentation.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
1
Lines of code
296
Activity Months2
Your Network
51 peopleShared Repositories
7
Kris HatcherMember
Maniraja RamanMember
MarcosMember
Michael RoytmanMember
Marcos RigoliMember
edX requirements botMember
Varsha MenonMember
Work History
October 2025
1 Commits
Oct 1, 2025October 2025 monthly summary for edx/learning-assistant: Focused on stabilizing Xpert Assistant's handling of large system messages. Implemented a fix aligned with the 4.11.3 release notes and bumped the learning_assistant package version. Updated changelog and initialization to reflect the fix. This work improves reliability and throughput for large payloads, reducing user-visible errors and enabling smoother AI-assisted learning interactions. Validated changes through targeted tests and documented release notes to support traceability and faster deployment.
1 Commits
Oct 1, 2025October 2025 monthly summary for edx/learning-assistant: Focused on stabilizing Xpert Assistant's handling of large system messages. Implemented a fix aligned with the 4.11.3 release notes and bumped the learning_assistant package version. Updated changelog and initialization to reflect the fix. This work improves reliability and throughput for large payloads, reducing user-visible errors and enabling smoother AI-assisted learning interactions. Validated changes through targeted tests and documented release notes to support traceability and faster deployment.
October 2025
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for edx/learning-assistant focused on delivering a robust content trimming feature to fit within configured token/character limits, improving reliability and scalability of long-form unit content delivery. Implemented proportional trimming of unit content (represented as a list of dictionaries) to respect maximum length, with dynamic adjustment after formatting and improved handling of empty content. Strengthened character counting, and updated tests to reflect accurate trimming behavior and defaults.
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for edx/learning-assistant focused on delivering a robust content trimming feature to fit within configured token/character limits, improving reliability and scalability of long-form unit content delivery. Implemented proportional trimming of unit content (represented as a list of dictionaries) to respect maximum length, with dynamic adjustment after formatting and improved handling of empty content. Strengthened character counting, and updated tests to reflect accurate trimming behavior and defaults.
Activity
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Quality Metrics
Correctness86.2%
Maintainability82.6%
Architecture72.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonRST
Technical Skills
API DevelopmentAPI TestingBackend DevelopmentChangelog ManagementContent ProcessingPythonRelease ManagementSystem DesignTestingUnit Testing
Repositories Contributed To
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