Shubhamsaboo/awesome-llm-apps
Apr 2025 – Aug 2025
2 Months active
Languages Used
MarkdownPythonYAML
Technical Skills
AI AgentsAsyncioConfiguration ManagementDocumentationLLM IntegrationPuppeteer
Andrew Hoh
PROFILE
Andrew Hoh
Andrew contributed to the Shubhamsaboo/awesome-llm-apps repository by developing a Streamlit-based browser agent interface that leverages Puppeteer and OpenAI integration for automated web navigation, element interaction, and data extraction. He addressed context management challenges by updating the default model to gpt-4.1-mini-2025-04-14 and introducing options to optimize API call efficiency. Andrew enhanced onboarding and reliability through comprehensive documentation updates, including new READMEs, demonstration media, and accurate external references. His work, primarily in Python and YAML, focused on improving user experience, reducing misconfiguration risk, and ensuring that both new and existing users could adopt the tools with minimal friction.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
5
Lines of code
279
Activity Months2
Your Network
36 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Shubhamsaboo/awesome-llm-apps: Focused on aligning documentation with the latest Browser MCP Agent domain and improving onboarding through precise, up-to-date guidance. Delivered a targeted README update that reflects the new domain URL, updated the demo video link, and revised the example command to use the new URL. This work enhances user trust and reduces misconfiguration risk. No major bugs were fixed this month; the work centered on documentation accuracy and contributor experience, with the potential to lower support overhead. Key outcomes include smoother onboarding for new users and clearer external references.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Shubhamsaboo/awesome-llm-apps: Focused on aligning documentation with the latest Browser MCP Agent domain and improving onboarding through precise, up-to-date guidance. Delivered a targeted README update that reflects the new domain URL, updated the demo video link, and revised the example command to use the new URL. This work enhances user trust and reduces misconfiguration risk. No major bugs were fixed this month; the work centered on documentation accuracy and contributor experience, with the potential to lower support overhead. Key outcomes include smoother onboarding for new users and clearer external references.
August 2025
April 2025
8 Commits • 4 Features
Apr 1, 2025April 2025 performance summary for Shubhamsaboo/awesome-llm-apps: Delivered the MCP Browser Agent Streamlit UI and supporting UX/document improvements, upgraded the OpenAI integration for longer context handling, and enhanced documentation to improve onboarding and discoverability. Fixed a broken README link to MCP Browser Agent. These efforts increased automation capability, reduced onboarding time, and improved reliability for web browsing tasks.
April 2025
8 Commits • 4 Features
Apr 1, 2025April 2025 performance summary for Shubhamsaboo/awesome-llm-apps: Delivered the MCP Browser Agent Streamlit UI and supporting UX/document improvements, upgraded the OpenAI integration for longer context handling, and enhanced documentation to improve onboarding and discoverability. Fixed a broken README link to MCP Browser Agent. These efforts increased automation capability, reduced onboarding time, and improved reliability for web browsing tasks.
Activity
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Quality Metrics
Correctness96.6%
Maintainability95.6%
Architecture96.6%
Performance95.6%
AI Usage26.8%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
AI AgentsAsyncioConfiguration ManagementDocumentationLLM IntegrationPuppeteerPython DevelopmentStreamlitWeb Scraping
Repositories Contributed To
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