System Requirements Document (SRD)

Project Name: garnet-agents

1. Introduction

The garnet-agents project aims to develop an autonomous AI-driven system to manage and monitor software development repositories, specifically targeting Python repositories initially. The system will leverage intelligent AI agents to automate tasks such as pull request reviews, vulnerability detection, code smell identification, and actionable feedback generation. By focusing on automation, garnet-agents will enhance developer productivity, reduce manual review efforts, and improve the reliability and security of software projects in modern DevOps environments.

This document outlines the system requirements for garnet-agents, ensuring clarity and alignment with the project's goals.

2. System Overview

The garnet-agents system is designed to autonomously manage software repositories, starting with Python-based projects. It will integrate seamlessly with platforms like GitHub and GitLab, using webhooks or direct API integrations to monitor and analyze repositories. The system will feature modular architecture, enabling future support for additional programming languages through language-specific analysis modules.

Key features include:

• Automated code reviews with actionable feedback.
• Identification of code smells and vulnerabilities.
• Suggestions for code improvements based on best practices and security standards.
• Collaboration among AI agents to ensure repository health and compliance with development guidelines.

The system will prioritize scalability, flexibility, and ease of integration into existing DevOps workflows.

3. Functional Requirements

• As a User, I should be able to integrate garnet-agents with my GitHub or GitLab repositories.
• As a User, I should be able to receive automated pull request reviews with actionable feedback.
• As a User, I should be able to view reports on code smells, vulnerabilities, and improvement suggestions.
• As a User, I should be able to configure the system to focus on specific areas (e.g., security, code quality).
• As a User, I should be able to access a dashboard summarizing repository health and compliance metrics.
• As a Developer, I should be able to receive detailed suggestions for improving code based on Python best practices.
• As an Admin, I should be able to add support for additional programming languages via language-specific analysis modules.
• As an Admin, I should be able to configure and manage AI agent collaboration settings.
• As a Guest, I should be able to view public reports generated by the system for open-source repositories.

4. User Personas

1. User (Developer)

   • Primary user of the system.
   • Integrates repositories and receives actionable feedback.
   • Focused on improving code quality and security.

2. Admin

   • Manages system configurations and adds support for new programming languages.
   • Oversees AI agent collaboration and ensures system scalability.

3. Guest

   • Limited access to public reports for open-source repositories.
   • Interested in observing repository health metrics and insights.

5. Visuals Colors and Theme

The visual design for garnet-agents will reflect professionalism and modernity, with a focus on clarity and usability. The proposed color palette includes:

• Primary Color: Garnet Red (#8B0000) — representing strength and reliability.
• Secondary Color: Deep Gray (#2F4F4F) — for a sleek, modern look.
• Accent Color: Emerald Green (#50C878) — symbolizing growth and improvement.
• Background Color: Light Gray (#F5F5F5) — ensuring readability and a clean interface.

The theme will incorporate a minimalist design with intuitive navigation, ensuring users can quickly access key features and insights.

6. Signature Design Concept

Interactive Repository Galaxy

The homepage will feature an interactive galaxy map where each repository is represented as a star. Users can navigate through the galaxy, zooming in on individual stars to explore repository-specific insights.

• Animation: Stars will twinkle subtly, and constellations will form dynamically based on repository relationships (e.g., shared contributors, dependencies).
• Interaction: Hovering over a star will display a tooltip with repository details (e.g., name, health score, recent activity). Clicking on a star will open a detailed dashboard for that repository.
• Transitions: Smooth zoom-in and zoom-out animations will create a seamless exploration experience.
• Micro-interactions: Repository health scores will be color-coded (green for healthy, yellow for warnings, red for critical issues), and stars will pulse gently to indicate recent activity.

This unique design will make garnet-agents visually captivating and memorable, while also providing an intuitive way to navigate repository data.

7. Non-Functional Requirements

• The system must support integration with GitHub and GitLab via APIs or webhooks.
• The system must process pull requests and generate feedback within 5 minutes of submission.
• The system must handle up to 10,000 repositories concurrently without performance degradation.
• The system must ensure data security and comply with relevant privacy regulations.
• The system must be scalable to support additional programming languages in the future.

8. Tech Stack

• Frontend: React for the web interface.
• Backend: Python with FastAPI for API development.
• Database (RDBMS): MySQL with Alembic for migrations.
• Database (NoSQL): MongoDB for storing unstructured data.
• AI Models:
  • GPT 5.2 for user-friendly responses.
  • Claude 4.5 Opas for academic or coding work.
  • Google Nano Banana for image generation (e.g., visualizing repository health).
• AI Tools: Langchain and Litellm for LLM routing.
• Orchestration: Docker and Kubernetes for deployment and scalability.

9. Assumptions and Constraints

• The system will initially support Python repositories only.
• The modular architecture will allow additional language support through language-specific analysis modules.
• The system will rely on GitHub and GitLab APIs for repository integration.
• The system will operate in the IST (Indian Standard Time) timezone by default.
• The system will prioritize open-source repositories but will also support private repositories with appropriate permissions.

10. Glossary

• AI Agent: An autonomous software entity that performs specific tasks using artificial intelligence.
• Code Smell: A characteristic in the source code that indicates a deeper problem.
• Dependency Vulnerability: A security flaw in a library or framework that a project depends on.
• DevOps: A set of practices that combines software development (Dev) and IT operations (Ops).
• Webhook: A method of augmenting or altering the behavior of a web page or application with custom callbacks.

This updated SRD ensures that garnet-agents is well-positioned to meet its goals while remaining scalable and adaptable for future enhancements. Let me know if you'd like further refinements, t!