inclusionAI/AWorld
Oct 2025 – Oct 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
Computer VisionDocumentationMulti-Agent SystemsNatural Language ProcessingReinforcement LearningSystem Integration
hekaiwen.hkw
PROFILE
Hekaiwen.hkw
Developed a ready-to-use benchmarking environment for the inclusionAI/AWorld repository, focusing on enabling end-to-end testing of the Recon-Act agent within a standardized web-based framework. The work centered on building the VisualWebArena Benchmark Environment, which included a comprehensive example folder with detailed setup instructions, file structures, and configuration guidance. Leveraging Python and Markdown, the developer emphasized clear documentation and example-driven onboarding to streamline contributor ramp-up and accelerate testing cycles. The integration of computer vision and system integration skills resulted in a self-contained environment that supports robust evaluation of web-based agent capabilities, enhancing both developer productivity and test coverage for the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
414,702
Activity Months1
Your Network
182 peopleSame Organization
@antgroup.com143
Shared Repositories
39
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Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on delivering a ready-to-use benchmarking environment and sustaining high developer productivity. The primary feature delivered this month is the VisualWebArena Benchmark Environment added to the inclusionAI/AWorld repository, enabling end-to-end testing of the Recon-Act agent in a standardized web-based benchmark. No major bugs reported this month.
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on delivering a ready-to-use benchmarking environment and sustaining high developer productivity. The primary feature delivered this month is the VisualWebArena Benchmark Environment added to the inclusionAI/AWorld repository, enabling end-to-end testing of the Recon-Act agent in a standardized web-based benchmark. No major bugs reported this month.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage100.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Computer VisionDocumentationMulti-Agent SystemsNatural Language ProcessingReinforcement LearningSystem IntegrationWeb Scraping
Repositories Contributed To
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