Develop New Features for Alert-Menta: Auto Description, Auto Review, Question Answering, and Work Suggestion

[nwiizo]

Description:

Objective:

The aim of this Issue is to develop and integrate a set of new features for the Alert-Menta system, enhancing its capabilities in managing and responding to GitHub Issues. The features to be developed include:

1. Auto Description (/describe): This feature will automatically generate a detailed description for Issues, including elements such as title, type, summary, related code details, and labels.

2. Auto Review (/review): This feature will provide adjustable feedback on the main theme, type, related tests, security issues, and score of an Issue. It will also offer various suggestions for the content of the Issue.

3. Question Answering (/ask ...): This feature will enable the system to answer free-text questions related to the Issues, aiding in clarification and additional information provision.

4. Work Suggestion (/suggest): This feature will propose improvements or new work suggestions related to an Issue, including specific steps or approaches for problem resolution.

Requirements:

• Develop each feature with clear, modular code in Go language.
• Ensure features are easily integrable with the existing Alert-Menta system.
• Include unit tests and documentation for each feature.
• Follow best practices for code quality and security.

Expected Outcomes:

• Enhanced efficiency in managing and resolving GitHub Issues.
• Automated support for generating Issue descriptions and reviews.
• Improved engagement and clarity through question answering capabilities.
• Practical and actionable work suggestions for Issue resolution.

Discussion Points:

• Any specific libraries or frameworks to be used for implementation.
• Strategies for integrating these features with the current Alert-Menta system.
• Ideas for testing and validating each feature.

Please feel free to add any additional thoughts or suggestions regarding this development.