hacksider/trae-agent
Jul 2025 – Jul 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
API IntegrationEnvironment ConfigurationFull Stack DevelopmentLLM IntegrationPython Development
Marchel Maulana Fahrezi
PROFILE
Marchel Maulana Fahrezi
Developed and delivered OpenRouter LLM provider integration for the hacksider/trae-agent repository, expanding the platform’s multi-LLM capabilities and offering users greater flexibility in model selection. The implementation introduced environment-variable-based configuration, allowing seamless deployment across different environments while maintaining compatibility with existing architecture. Python was used for the integration, with Markdown updates to the README providing clear setup instructions and usage examples to streamline onboarding. The work focused on API integration and environment configuration, enabling rapid experimentation and reducing vendor lock-in. No major bugs were reported, reflecting a focused and well-scoped feature addition that aligns with established deployment practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
545
Activity Months1
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Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered OpenRouter LLM provider integration for trae-agent, expanding multi-LLM capabilities and customer choice. Introduced environment-variable-based configuration for OpenRouter and updated the README with setup instructions and usage examples to enable quick adoption. No major bugs reported in this scope. Overall, the work broadens model options, reduces vendor lock-in, and accelerates experimentation while maintaining alignment with existing architecture and deployment practices. Demonstrated technologies include environment-based configuration, structured commit practices, and customer-focused documentation to streamline onboarding.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered OpenRouter LLM provider integration for trae-agent, expanding multi-LLM capabilities and customer choice. Introduced environment-variable-based configuration for OpenRouter and updated the README with setup instructions and usage examples to enable quick adoption. No major bugs reported in this scope. Overall, the work broadens model options, reduces vendor lock-in, and accelerates experimentation while maintaining alignment with existing architecture and deployment practices. Demonstrated technologies include environment-based configuration, structured commit practices, and customer-focused documentation to streamline onboarding.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
API IntegrationEnvironment ConfigurationFull Stack DevelopmentLLM IntegrationPython Development
Repositories Contributed To
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