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Graph-Based Knowledge Source: File Correlations and Dependencies #158

Open joaonetozup opened 1 week ago

joaonetozup commented 1 week ago

Summary

This issue focuses on developing a robust graph-based analysis system within StackSpot AI to evaluate correlations and dependencies among files. The goal is to harness this structure for various use cases including but not limited to similarity searches in projects or COBOL code, and intelligent placement of generated code within the project’s directory tree. Implementing this system will enhance the platform’s ability to provide deep insights into project structures and dependencies, improving the accuracy of code-related functionalities and opening up new possibilities for advanced project management and optimization tools.

Intended Outcome

The successful implementation of this feature will result in several key outcomes:

  1. Enhanced Project Insights: Users will gain a deeper understanding of project structures and dependencies through visualized graph structures.
  2. Improved Code Placement: Intelligent suggestions for file placement will streamline the integration of newly generated code into existing projects.
  3. Advanced Search Capabilities: Similarity searches across projects or specific programming languages like COBOL will be more accurate and efficient.
  4. User-Friendly Interface: An intuitive interface for interacting with graph structures will enhance user experience and usability.
  5. Expanded Use Cases: Additional functionalities such as refactoring recommendations, impact analysis, and automated documentation generation will be explored and potentially implemented.