EmberAGI/arbitrum-vibekit
May 2025 – May 2025
1 Month active
Languages Used
Git IgnoreJavaScriptMarkdownShellTypeScript
Technical Skills
AI Agent DevelopmentAPI IntegrationBackend DevelopmentData AnalysisData ProcessingDocumentation
AJslashTracey
PROFILE
Ajslashtracey
During May 2025, Dirtjumper enhanced the EmberAGI/arbitrum-vibekit repository by delivering analytics-focused features and improving backend modularity. They implemented new endpoints for price and social data, integrating technical analysis indicators such as EMA and MACD using TypeScript and Node.js. By refactoring the MCP server into a dedicated TrendMoonMcpServer class, Dirtjumper isolated server setup from agent logic, which improved maintainability and onboarding. The work also included updating documentation, refining repository hygiene with .gitignore, and stabilizing API endpoints. This approach provided deeper insights for users, reduced operational risk, and established a more robust foundation for future AI agent development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
3,124
Activity Months1
Your Network
63 people
Work History
May 2025
7 Commits • 3 Features
May 1, 2025For May 2025, the Arbitrum Vibekit project delivered a set of analytics-focused enhancements and a more modular backend, driving deeper insights for price and social data while improving maintainability and onboarding. The work strengthened TAM/TA coverage, stabilized API endpoints, and reduced operational risk through repository hygiene and clearer architecture.
7 Commits • 3 Features
May 1, 2025For May 2025, the Arbitrum Vibekit project delivered a set of analytics-focused enhancements and a more modular backend, driving deeper insights for price and social data while improving maintainability and onboarding. The work strengthened TAM/TA coverage, stabilized API endpoints, and reduced operational risk through repository hygiene and clearer architecture.
May 2025
Activity
Loading activity data...
Quality Metrics
Correctness88.6%
Maintainability88.6%
Architecture90.0%
Performance77.2%
AI Usage45.8%
Skills & Technologies
Programming Languages
Git IgnoreJavaScriptMarkdownShellTypeScript
Technical Skills
AI Agent DevelopmentAPI IntegrationBackend DevelopmentData AnalysisData ProcessingDocumentationModular DesignNode.jsRefactoringShell ScriptingTechnical AnalysisTechnical WritingTypeScriptVersion Control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline