Project Summary:

CodeSnap is a collaborative, AI-assisted code review platform designed for teams, educators, and open-source contributors. Unlike traditional code hosting services like GitHub or GitLab, CodeSnap focuses entirely on streamlined, interactive code reviews, with real-time feedback, pair programming tools, and AI-generated review insights.

 Key Features:

1. Code Diff Viewer

• Side-by-side and inline diffs for reviewing pull requests or commits.

• Syntax highlighting for multiple languages.

• Highlight changes at the word/character level.

2. Real-time Collaboration

• Live commenting and threaded discussions on specific lines.

• “Watch Together” mode: multiple users can navigate files and review in sync.

• Shared cursors and annotations like Google Docs.

3. AI-Powered Suggestions

• AI detects code smells, anti-patterns, and security vulnerabilities.

• Automatically suggests improvements with explanations.

• Integrates OpenAI or CodeBERT for contextual recommendations.

4. Integration Support

• Connects to GitHub/GitLab/Bitbucket to import pull requests.

• Webhooks and APIs to trigger reviews automatically.

5. Analytics & Reporting

• Reviewer performance metrics.

• PR throughput, time-to-merge stats, and review activity heatmaps.

• Identify bottlenecks or high-defect areas over time.

6. Mentorship Mode

• Designed for junior devs or students.

• Enables mentors to give structured feedback using code templates and scoring.

• Comment tagging for praise, suggestions, or must-fix issues.

 Architecture Overview:

Frontend:

• Built with React + TypeScript

• Real-time functionality via WebSockets

• Code diffing using Monaco Editor (the engine behind VS Code)

• OAuth integrations for GitHub and other SCM tools

Backend:

• Node.js + Express or NestJS

• WebSocket server for live sessions

• Git and file diffing handled with simple-git and custom parsers

AI Services:

• OpenAI API or CodeBERT for static analysis

• Custom linting layer for language-specific recommendations

Database:

• MongoDB for flexible document storage (e.g., reviews, comments)

• Redis for session caching and WebSocket scaling

DevOps:

• Dockerized microservices

• CI/CD via GitHub Actions or Jenkins

• Hosted on AWS/GCP with load balancing and autoscaling

 Security Considerations:

• End-to-end encrypted live sessions

• Role-based access control (admin, reviewer, author)

• Audit logs for all activity

 Roadmap (MVP to v2):

 Ideal Use Cases:

• Development Teams: Faster, higher-quality peer reviews.

• Bootcamps/Colleges: Instructor feedback on code assignments.

• Open Source Projects: Centralized review without requiring full repo access.

 Potential Monetization:

• Freemium model: free for small teams, paid for pro features like analytics or AI.

• Enterprise tier with SSO, audit logs, and compliance.