FEUP-MEIC-DS-2024-25/ai4sd
Dec 2024 – Dec 2024
1 Month active
Languages Used
JavaScriptPython
Technical Skills
AI IntegrationAPI IntegrationBackend DevelopmentFrontend DevelopmentJavaScript
António Rego
PROFILE
António Rego
Contributed to the FEUP-MEIC-DS-2024-25/ai4sd repository by delivering two core features focused on improving analysis throughput and reporting workflows. Developed batch multi-file analysis in WardenAI, enabling users to select and upload multiple files through the frontend, with backend logic orchestrating concurrent processing and AI-driven code analysis across diverse sources. Implemented Markdown download functionality for vulnerability reports, generating structured summaries from analysis results and providing an easy download option. Leveraged JavaScript and Python for both frontend and backend development, integrating AI and API workflows. The work maintained platform stability while aligning new capabilities with product goals for collaboration and efficiency.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
182
Activity Months1
Work History
December 2024
2 Commits • 2 Features
Dec 1, 2024December 2024 – FEUP-MEIC-DS-2024-25/ai4sd: Delivered two major features that boost throughput, reporting, and collaboration. Key features: batch multi-file analysis in WardenAI; Markdown download for vulnerability reports. No major bugs reported; stability maintained. Business impact: faster multi-source analysis, enhanced reporting, and easier sharing; capabilities align with product goals. Tech stack and skills demonstrated: frontend multi-file upload UX, backend batch processing, Markdown generation, and AI prompt orchestration across multiple inputs.
2 Commits • 2 Features
Dec 1, 2024December 2024 – FEUP-MEIC-DS-2024-25/ai4sd: Delivered two major features that boost throughput, reporting, and collaboration. Key features: batch multi-file analysis in WardenAI; Markdown download for vulnerability reports. No major bugs reported; stability maintained. Business impact: faster multi-source analysis, enhanced reporting, and easier sharing; capabilities align with product goals. Tech stack and skills demonstrated: frontend multi-file upload UX, backend batch processing, Markdown generation, and AI prompt orchestration across multiple inputs.
December 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JavaScriptPython
Technical Skills
AI IntegrationAPI IntegrationBackend DevelopmentFrontend DevelopmentJavaScript
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