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 Hoh developed and enhanced the MCP Browser Agent within the Shubhamsaboo/awesome-llm-apps repository, focusing on both user experience and technical robustness. He delivered a Streamlit-based UI that enables users to navigate and extract data from websites using Puppeteer and OpenAI LLM integration, addressing context management and efficiency through configuration updates and context history controls. Andrew improved onboarding by refining documentation, updating READMEs to reflect new domain URLs, and providing clear demonstration materials. His work, primarily in Python and YAML, emphasized maintainability and discoverability, reducing onboarding time and misconfiguration risk while ensuring reliable, automated web browsing capabilities for users.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
5
Lines of code
279
Activity Months2
Your Network
44 peopleWork 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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