hkuds/deepcode
Aug 2025 – Aug 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
AI DevelopmentAPI DevelopmentAPI integrationAsyncIOAsynchronous ProgrammingBackend Development
Stevendiffdiff
PROFILE
Stevendiffdiff
Contributed to the hkuds/deepcode repository by delivering five new features focused on automation, context retrieval, and secure input handling. Developed resource identification and query augmentation capabilities that parse URLs and file paths, leveraging multiple agents for improved input classification and error handling. Built a Model Context Protocol server enabling authenticated news web search using DuckDuckGo, enhancing backend reliability. Enhanced the command-line interface with multi-mode input processing for flexible user experiences. Maintained repository hygiene through .gitignore updates and authored markdown documentation on curiosity-driven red teaming for LLMs. Utilized Python, AsyncIO, and API integration to ensure maintainable, robust, and user-focused solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
5
Lines of code
19,346
Activity Months1
Your Network
4 peopleShared Repositories
4
Work History
August 2025
7 Commits • 5 Features
Aug 1, 2025August 2025 highlights strong delivery across the hkuds/deepcode project: implemented Resource Identification and Query Augmentation, launched an MCP Server for News Web Search with secure authentication, improved repository hygiene, added a multi-mode CLI, and published curiosity-driven red teaming documentation. These efforts deliver clearer input handling, reliable context retrieval, maintainable codebase, and safer testing practices—driving automation, UX, and security improvements.
7 Commits • 5 Features
Aug 1, 2025August 2025 highlights strong delivery across the hkuds/deepcode project: implemented Resource Identification and Query Augmentation, launched an MCP Server for News Web Search with secure authentication, improved repository hygiene, added a multi-mode CLI, and published curiosity-driven red teaming documentation. These efforts deliver clearer input handling, reliable context retrieval, maintainable codebase, and safer testing practices—driving automation, UX, and security improvements.
August 2025
Activity
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Quality Metrics
Correctness88.6%
Maintainability85.8%
Architecture88.6%
Performance85.8%
AI Usage68.6%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AI DevelopmentAPI DevelopmentAPI integrationAsyncIOAsynchronous ProgrammingBackend DevelopmentCLI DevelopmentMachine LearningNatural Language ProcessingPythonReinforcement LearningResearch WritingUnit Testingasync programmingfull stack development
Repositories Contributed To
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