Case Study Showcase
RepoInsight
AI-Powered GitHub Repository Analysis Tool
Next.js 15TypeScriptGoogle Gemini AIOctokitTailwind CSSFramer MotionJWTReact Markdown
DeploymentCloudinary + CDN
AccessPrivate
Codebase174 KB
Stack8 Technologies
The Challenge & Bottleneck
Core Problem Statement
"Reviewing complex or undocumented repositories is time-consuming. RepoInsight automates the architectural discovery phase for developers and recruiters."
Engineered Solution
Architectural Implementation
Full-stack Serverless architecture using Next.js 15 (App Router). Integrates securely with Octokit for GitHub data and Google GenAI for deep code analysis.
Engineering Deep Dive
Detailed review of tradeoffs, database models, scaling strategies, and microservices
Structural Trade-offs & Decisions
Stateless design prioritizes privacy and low infrastructure costs over persistent historical caching of repository insights.
Context & Constraints
- AI-Driven Developer Experience (DX).
- Serverless API Orchestration.
- Rapid AI Experimentation & Prototyping.
Database Modeling & Storage Strategy
Stateless Architecture: Relies on secure client-side cookies and JWTs for session persistence without a traditional database bottleneck.
Scaling Plan & Performance Roadmap
Integrate Upstash Redis for global edge caching of repository summaries and identical analysis requests to minimize LLM compute costs.
System Subservices & Workers
GitHub API Integration
Gemini LLM Inference Engine
Stateless Authentication Hub