Intelligent aggregation and linked export system and method based on gitlab
By using a GitLab-based intelligent aggregation and linked export system, the problems of low delivery efficiency and poor adaptability of GitLab tools in multi-application collaborative development and cross-team customized development have been solved. It has achieved unified resource allocation and functional decoupling, and improved delivery efficiency and the accuracy of result synchronization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TONGDUN NETWORK TECH CO LTD
- Filing Date
- 2026-02-27
- Publication Date
- 2026-07-21
AI Technical Summary
Existing GitLab tools suffer from problems such as inefficient sorting of development results, lack of precise tools for progress control, difficulty in synchronizing information across teams, and cumbersome source code export in multi-application collaborative development and cross-team customized development, resulting in low delivery efficiency, high deviation, and poor scenario adaptability.
This system provides an intelligent aggregation and linked export system based on GitLab. By using a shared configuration base to store core configurations and branch relationships, it enables project information integration and multi-scenario output, including data collection, preprocessing, multi-dimensional querying, AI transformation, report generation, and real-time office software linkage. It supports source code association configuration, retrieval, and sub-module integration, generating structured datasets and delivering them automatically.
It has achieved unified resource allocation, functional decoupling, and professional division of labor, which has improved the adaptability of delivery scenarios and overall efficiency, reduced the cost of manual intervention and delivery risks, and ensured the accuracy of cross-team result synchronization and progress control.
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