
During December 2024, Antonio Costa Rego developed two core features for the FEUP-MEIC-DS-2024-25/ai4sd repository, focusing on enhancing throughput and collaboration in WardenAI. He implemented batch multi-file analysis, enabling users to upload and analyze multiple files concurrently through a JavaScript-powered frontend and a Python backend that orchestrates AI-driven code analysis across diverse sources. Additionally, Antonio introduced Markdown report downloads, generating structured vulnerability reports for easier sharing and review. His work demonstrated skills in AI integration, API design, and both frontend and backend development. The features delivered stable, business-aligned improvements without introducing major bugs, reflecting thoughtful engineering depth.

December 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 – 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.
Overview of all repositories you've contributed to across your timeline