FEUP-MEIC-DS-2024-25/ai4sd
Dec 2024 – Dec 2024
1 Month active
Languages Used
GraphQLJSONPython
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentData ProcessingGitHub API
Joao Padrao
PROFILE
Joao Padrao
During December 2024, up202108766@up.pt developed an AI-assisted workflow for the FEUP-MEIC-DS-2024-25/ai4sd repository, focusing on seamless integration between Miro and GitHub. They engineered a Miro Board Template API that leverages Gemini AI and GraphQL to dynamically generate and prioritize iteration backlogs from GitHub project data. Their work automated the creation and synchronization of tasks, ensuring that priority and size attributes remained consistent across both platforms. Utilizing Python, API orchestration, and data processing, they established a reusable automation foundation that improved backlog visibility and planning efficiency, addressing the challenge of manual synchronization in cross-functional project management environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
798
Activity Months1
Your Network
114 people
Work History
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 focused on delivering an AI-assisted, cross-tool workflow between Miro and GitHub for FEUP-MEIC-DS-2024-25/ai4sd. Key features delivered include a Miro Board Template API with Gemini AI-driven backlog prioritization and GraphQL integration to dynamically create and populate Miro boards from GitHub project data, and an automated Miro↔GitHub task management pipeline that creates Miro tasks with priority and size tags and syncs backlog status back to GitHub. These efforts improved backlog visibility, reduced manual synchronization, and strengthened cross-functional collaboration, enabling faster iteration planning and more accurate task sizing. Technologies demonstrated include GraphQL, Gemini AI, Miro API, GitHub APIs, and end-to-end API orchestration for scalable cross-project backlogs.
3 Commits • 2 Features
Dec 1, 2024December 2024 focused on delivering an AI-assisted, cross-tool workflow between Miro and GitHub for FEUP-MEIC-DS-2024-25/ai4sd. Key features delivered include a Miro Board Template API with Gemini AI-driven backlog prioritization and GraphQL integration to dynamically create and populate Miro boards from GitHub project data, and an automated Miro↔GitHub task management pipeline that creates Miro tasks with priority and size tags and syncs backlog status back to GitHub. These efforts improved backlog visibility, reduced manual synchronization, and strengthened cross-functional collaboration, enabling faster iteration planning and more accurate task sizing. Technologies demonstrated include GraphQL, Gemini AI, Miro API, GitHub APIs, and end-to-end API orchestration for scalable cross-project backlogs.
December 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture83.4%
Performance80.0%
AI Usage70.0%
Skills & Technologies
Programming Languages
GraphQLJSONPython
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentData ProcessingGitHub APIMiro APIProject Management ToolsPythonPython DevelopmentPython ScriptingTask Management Automation
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