se-ubt/llm-guidelines-website
Dec 2025 – Dec 2025
1 Month active
Languages Used
BibTeXTeX
Technical Skills
AI integrationdocumentationliterature reviewsoftware engineeringtechnical writing
dennis9707
PROFILE
Dennis9707
Worked on enhancing the se-ubt/llm-guidelines-website repository by updating documentation related to the use of large language models as judges in software engineering. Focused on improving the clarity and readability of technical content, particularly around automated judgment and evaluation processes. Addressed typographical errors and refined literature reviews to support governance and future development in LLM-guided code assessment. Utilized TeX and BibTeX for structured documentation and citation management, applying skills in AI integration and technical writing. The work contributed to more consistent and trustworthy documentation, facilitating better understanding and adoption of LLM-based evaluation methods within the software engineering community.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
36
Activity Months1
Your Network
23 peopleSame Organization
@smu.edu.sg5
Shared Repositories
18
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12 focusing on documentation quality and readability for LLM-based judgments in software engineering. Delivered targeted documentation updates and corrected typographical issues to improve clarity, consistency, and trust in automated judgment approaches. This work supports governance, evaluation, and future feature work in the LLM-guidelines space.
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12 focusing on documentation quality and readability for LLM-based judgments in software engineering. Delivered targeted documentation updates and corrected typographical issues to improve clarity, consistency, and trust in automated judgment approaches. This work supports governance, evaluation, and future feature work in the LLM-guidelines space.
December 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
BibTeXTeX
Technical Skills
AI integrationdocumentationliterature reviewsoftware engineeringtechnical writing
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