FEUP-MEIC-DS-2024-25/ai4sd
Dec 2024 – Dec 2024
1 Month active
Languages Used
DockerfileJavaScriptPythonYAML
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCORSDockerDocker Compose
Pedro
PROFILE
Pedro
During December 2024, João Silva contributed to the FEUP-MEIC-DS-2024-25/ai4sd repository by delivering three core features focused on scalable backend infrastructure and automated testing. He integrated the UTA Assistant across both frontend and backend, updating the UI picker and enhancing classification workflows. Leveraging Python, FastAPI, and Docker, João developed a Gemini-based unit test generation and review service, streamlining test creation and validation. He also dockerized the backend, introducing new endpoints for test automation. His work emphasized robust API development and deployment consistency, resulting in improved user experience and more efficient, reliable testing processes for the project’s evolving needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
186
Activity Months1
Your Network
96 people
Work History
December 2024
7 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for FEUP-MEIC-DS-2024-25/ai4sd: Delivered three major capabilities with Docker deployment enabling reliable production-like environments. Integrated UTA Assistant across UI and backend; launched Gemini-based unit test generation and review service; dockerized backend and added test endpoints (req2test, story2test). Result: improved front-end UX, faster test generation and validation, and scalable deployment.
7 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for FEUP-MEIC-DS-2024-25/ai4sd: Delivered three major capabilities with Docker deployment enabling reliable production-like environments. Integrated UTA Assistant across UI and backend; launched Gemini-based unit test generation and review service; dockerized backend and added test endpoints (req2test, story2test). Result: improved front-end UX, faster test generation and validation, and scalable deployment.
December 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability82.8%
Architecture80.0%
Performance77.2%
AI Usage37.2%
Skills & Technologies
Programming Languages
DockerfileJavaScriptPythonYAML
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCORSDockerDocker ComposeEnvironment VariablesFastAPIFrontend DevelopmentGoogle Generative AIUnit Testing
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