Monash-FIT3170/2025W2-PressUp
Apr 2025 – Apr 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
Backend DevelopmentFull Stack DevelopmentMeteorMeteorJSMongoDBNode.js
“Christina”
PROFILE
“christina”
During April 2025, Chris Burrows enhanced the Monash-FIT3170/2025W2-PressUp repository by upgrading the MenuItems data model and implementing an asynchronous CRUD API using JavaScript and Node.js within the Meteor framework. He introduced optional attributes such as availability, quantity, price, and category, modernized deprecated Meteor CRUD methods to their asynchronous counterparts, and improved server startup initialization for consistent data states. Chris also developed a new data retrieval API to enable comprehensive menu listings from MongoDB. His work demonstrated end-to-end backend delivery, focusing on data accessibility, reliability, and maintainability, with thoughtful refactoring and no major defects reported during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
51
Activity Months1
Your Network
142 peopleSame Organization
@student.monash.edu117
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Work History
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Monash-FIT3170/2025W2-PressUp. Focused on MenuItems data model upgrades, async CRUD API, and data retrieval enhancements. No major defects reported; substantial refactoring addressed deprecated Meteor CRUD APIs and improved startup initialization to ensure consistent MenuItems state. Demonstrates end-to-end backend delivery—from data modeling to API exposure—enabling richer menus in the UI and more reliable item management.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Monash-FIT3170/2025W2-PressUp. Focused on MenuItems data model upgrades, async CRUD API, and data retrieval enhancements. No major defects reported; substantial refactoring addressed deprecated Meteor CRUD APIs and improved startup initialization to ensure consistent MenuItems state. Demonstrates end-to-end backend delivery—from data modeling to API exposure—enabling richer menus in the UI and more reliable item management.
April 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
Backend DevelopmentFull Stack DevelopmentMeteorMeteorJSMongoDBNode.js
Repositories Contributed To
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