edx/learning-assistant
Oct 2024 – Feb 2025
2 Months active
Languages Used
JSONPythonJavaScriptRSTrst
Technical Skills
API DevelopmentDRFDatabaseDjangoBackend DevelopmentPython
Marcos Rigoli
PROFILE
Marcos Rigoli
During their work on the edx/learning-assistant repository, Rigoli focused on backend development to enhance chat history persistence and access control features. They implemented a database-backed system using Django and DRF to store and retrieve chat messages, refining the data model to support both user and assistant roles. Rigoli also strengthened date-based access controls for chat trials, introducing standardized date parsing and removing obsolete endpoints to streamline the API. Their contributions included release management tasks such as version upgrades and changelog updates, demonstrating depth in Python, API development, and testing while improving maintainability, auditability, and deployment confidence across the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
775
Activity Months2
Your Network
6 people
Work History
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for edx/learning-assistant focused on strengthening date-based access controls, improving chat reliability, and enabling a stable release path for ongoing improvements. Key improvements include date handling enhancements for trial gating, removal of unused trial endpoints, and a major version upgrade with gating alignment.
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for edx/learning-assistant focused on strengthening date-based access controls, improving chat reliability, and enabling a stable release path for ongoing improvements. Key improvements include date handling enhancements for trial gating, removal of unused trial endpoints, and a major version upgrade with gating alignment.
February 2025
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — Focused on delivering backend data persistence for Learning Assistant chat history, enabling durable, retrievable conversations and laying groundwork for analytics. Delivered a feature that stores chat messages in a database, with a refined data model, serializer, and API flow to validate and persist both user inputs and assistant responses.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — Focused on delivering backend data persistence for Learning Assistant chat history, enabling durable, retrievable conversations and laying groundwork for analytics. Delivered a feature that stores chat messages in a database, with a refined data model, serializer, and API flow to validate and persist both user inputs and assistant responses.
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaScriptPythonRSTrst
Technical Skills
API DevelopmentBackend DevelopmentDRFDatabaseDjangoPythonRelease ManagementTestingVersion Control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline