apache/bigtop-manager
Jul 2025 – Mar 2026
2 Months active
Languages Used
JavaYAMLPython
Technical Skills
AI IntegrationBackend DevelopmentConfiguration ManagementSpring BootAI DevelopmentBig Data Management
haopeng
PROFILE
Haopeng
Over a two-month period, contributed foundational AI and backend features to the apache/bigtop-manager repository, focusing on enabling model-centric programming and scalable AI-driven cluster management. Developed the MCP Server groundwork, including prompt handling infrastructure and request routing, using Java, Spring Boot, and YAML to support future AI tooling. Later, upgraded the bigtop-manager-ai module by replacing LangChain4j with Spring AI, consolidating dependencies and improving maintainability within the Spring ecosystem. The work emphasized backend integration, configuration management, and big data management, laying the technical foundation for advanced automation and decision support in large-scale data cluster operations without addressing bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
122,333
Activity Months2
Your Network
692 peopleSame Organization
@apache.org683
a.huberMember
Akira AjisakaMember
Andrzej BiałeckiMember
Arturo BernalMember
Abhishek KumarMember
Attila BukorMember
VampireAchaoMember
Abhishek ChennakaMember
Andreas DangelMember
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026In March 2026, the team delivered a strategic upgrade to Bigtop Manager AI by replacing LangChain4j with Spring AI in the bigtop-manager-ai module, enabling more capable AI-driven management of large data clusters. This work, tracked under commit c79478a76ca22a92d44e5c99444f8adda97478a4 (ref #291), lays the foundation for expanded AI features while simplifying maintenance by consolidating dependencies around Spring AI. This upgrade reduces tooling fragility, improves consistency with the Spring ecosystem, and positions the product to automate and optimize cluster operations at scale.
1 Commits • 1 Features
Mar 1, 2026In March 2026, the team delivered a strategic upgrade to Bigtop Manager AI by replacing LangChain4j with Spring AI in the bigtop-manager-ai module, enabling more capable AI-driven management of large data clusters. This work, tracked under commit c79478a76ca22a92d44e5c99444f8adda97478a4 (ref #291), lays the foundation for expanded AI features while simplifying maintenance by consolidating dependencies around Spring AI. This upgrade reduces tooling fragility, improves consistency with the Spring ecosystem, and positions the product to automate and optimize cluster operations at scale.
March 2026
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered foundational MCP Server groundwork to enable AI-augmented capabilities in Apache Bigtop Manager. Implemented prompt handling infrastructure, core request-routing for MCP, and a new prompt file path. This lays the foundation for model-centric tooling and future prompts integration.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered foundational MCP Server groundwork to enable AI-augmented capabilities in Apache Bigtop Manager. Implemented prompt handling infrastructure, core request-routing for MCP, and a new prompt file path. This lays the foundation for model-centric tooling and future prompts integration.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
JavaPythonYAML
Technical Skills
AI DevelopmentAI IntegrationBackend DevelopmentBig Data ManagementConfiguration ManagementJava DevelopmentSpringSpring Boot
Repositories Contributed To
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