thesavant42/retrorecon

AI Summary: This task requires implementing a user interface (UI) and backend API to allow users to view and edit the MCP (Model Context Protocol) configuration file within the RetroRecon application. This involves creating API endpoints to read and write the configuration, validating user input, handling potential errors, and updating the UI to display and allow editing of the configuration parameters. The changes should be reflected in the application without requiring a restart. Thorough testing and documentation updates are also necessary.

AI Summary: Refactor the tag handling in the RetroRecon application to resolve inconsistencies in data structure (using Tag objects consistently), state management in the search bar, search submission logic, and tag color persistence. This involves centralizing the Tag data model, improving integration between the sidebar and search bar, enhancing search bar state logic, ensuring tag color persistence, refining the search logic to use tag IDs, and correcting the Enter key behavior for search submission.

AI Summary: Debug and fix a bug in the RetroRecon application where dropdown menus related to subdomains are displaying as empty. This involves investigating the issue, potentially examining the code related to subdomain handling and data fetching, testing implemented solutions, and ensuring the fix doesn't introduce new problems.

AI Summary: This task involves refactoring a Flask web application to dynamically generate HTML content using a new architecture based on content schemas and a centralized asset management system. This includes creating Python functions for HTML generation, implementing a registry for assets, designing a database schema for content and metadata, and building a robust CI/CD pipeline for deployment. The project also requires creating a migration utility to convert existing Jinja templates to the new system and implementing a comprehensive test suite for validation and performance benchmarking.