apache/dubbo-go-samples
May 2025 – May 2025
1 Month active
Languages Used
CSSGoHTMLJavaScriptShellYAML
Technical Skills
AI Agent DevelopmentAPI IntegrationBackend DevelopmentConfiguration ManagementDubbo-goFrontend Development
DBU
PROFILE
Dbu
During May 2025, Doublebird Su developed a Flight Booking AI Agent Demo for the apache/dubbo-go-samples repository, integrating large language models via Ollama to enable multi-turn flight search and booking through a unified backend agent and a responsive frontend. The solution supported stateful task management and multi-round conversations, enhancing the user experience for complex booking scenarios. Doublebird Su also addressed repository hygiene by fixing import path errors in Go files, removing redundant configuration files, and updating the .gitignore to ensure clean builds. The work demonstrated depth in Go development, LLM integration, and full stack engineering within a short project timeframe.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
3,917
Activity Months1
Your Network
16 people
Work History
May 2025
2 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05: Delivered the Flight Booking AI Agent Demo with LLM integration, enabling robust multi-turn flight search and booking through a unified backend agent (logic and LLM interaction via Ollama) and a responsive frontend. The demo supports multi-round conversations and task state management for a smoother user experience. Also completed critical repository hygiene work, fixing import path errors in the Book Flight AI Agent and removing an unnecessary example config, plus updating .gitignore to include the debug binary to ensure clean builds. Key commits include 6c49cca8c5ae24d1b4adb55f13638e433c92fa46 for the AI agent demo and 663b7075d6d963cdae466feff3ddf89745b65d6d for import path fixes and repo hygiene.
2 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05: Delivered the Flight Booking AI Agent Demo with LLM integration, enabling robust multi-turn flight search and booking through a unified backend agent (logic and LLM interaction via Ollama) and a responsive frontend. The demo supports multi-round conversations and task state management for a smoother user experience. Also completed critical repository hygiene work, fixing import path errors in the Book Flight AI Agent and removing an unnecessary example config, plus updating .gitignore to include the debug binary to ensure clean builds. Key commits include 6c49cca8c5ae24d1b4adb55f13638e433c92fa46 for the AI agent demo and 663b7075d6d963cdae466feff3ddf89745b65d6d for import path fixes and repo hygiene.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture85.0%
Performance85.0%
AI Usage55.0%
Skills & Technologies
Programming Languages
CSSGoHTMLJavaScriptShellYAML
Technical Skills
AI Agent DevelopmentAPI IntegrationBackend DevelopmentConfiguration ManagementDubbo-goFrontend DevelopmentFull Stack DevelopmentGo DevelopmentLLM IntegrationOllamaPrompt EngineeringVersion ControlgRPC
Repositories Contributed To
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