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
Developed an AI-assisted workflow for the FEUP-MEIC-DS-2024-25/ai4sd repository, enabling seamless integration between Miro and GitHub for project backlog management. Built a Miro Board Template API that leverages Gemini AI and GraphQL to dynamically generate and prioritize iteration backlogs from GitHub data, applying templates and tags for enhanced task visibility. Implemented automated synchronization of tasks and backlog status between Miro and GitHub, ensuring consistent priority and size attributes across both platforms. Utilized Python, API orchestration, and data processing to reduce manual effort, improve planning efficiency, and establish a scalable foundation for cross-tool project management automation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
798
Activity Months1
Your Network
118 peopleSame Organization
@up.pt29
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
Repositories Contributed To
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