Build AI Code Reviewer: Next.js 16, React 19, Pinecone, Gemini, Inngest, Prisma & TanStack Query
Автор: Suraj Jha
Загружено: 2025-12-10
Просмотров: 6280
Описание:
assets Link :- https://github.com/Aestheticsuraj234/...
In this comprehensive tutorial, I'll show you how to build a complete AI-powered code review platform using cutting-edge technologies. This is a full-stack application that automatically reviews your GitHub pull requests using RAG (Retrieval Augmented Generation) and Google's Gemini AI.
TECH STACK:
Frontend: Next.js 16, React 19, TypeScript, Tailwind CSS 4
UI Components: shadcn/ui, Radix UI
Backend: Next.js API Routes, Server Actions
Database: PostgreSQL with Prisma ORM
Vector Database: Pinecone (for RAG implementation)
AI/ML: Google Gemini AI (Gemini 2.5 Flash, text-embedding-004)
Background Jobs: Inngest (for async processing)
Authentication: Better Auth
Payments: Polar (subscription management)
Data Fetching: TanStack Query (React Query)
GitHub Integration: Octokit API
Charts: Recharts
Forms: React Hook Form + Zod validation
KEY FEATURES BUILT:
1. AI-Powered Code Reviews
Automatic PR review generation using Gemini AI
Context-aware reviews using RAG with Pinecone vector database
Reviews include walkthrough, sequence diagrams, summary, strengths, issues, suggestions, and even poems!
2. GitHub Integration
Connect multiple repositories
Automatic webhook handling for PR events
Real-time review generation on PR open/update
Direct comment posting to GitHub PRs
3. RAG Implementation
Automatic codebase indexing with vector embeddings
Semantic search across entire codebase
Context retrieval for better AI reviews
4. Dashboard & Analytics
Real-time statistics (total repos, commits, PRs, reviews)
GitHub contribution graph visualization
Monthly activity breakdown (commits, PRs, reviews)
Beautiful charts and data visualization
5. Review Management
Complete review history
Review status tracking (completed, pending, failed)
Direct links to GitHub PRs
Review preview and full content viewing
6. Repository Management
Browse all GitHub repositories
Connect/disconnect repositories
Search and filter repositories
Infinite scroll pagination
Repository connection status tracking
7. Subscription System
Free tier: 5 repositories, 5 reviews per repo
Pro tier: Unlimited repositories and reviews
Polar integration for payment processing
Subscription status management
Usage tracking and limits
8. User Management
Better Auth authentication
Profile settings
User usage tracking
Session management
9. Background Processing
Inngest for async job processing
Repository indexing jobs
Review generation jobs
Concurrency control
10. Modern UI/UX
Responsive design
Dark mode support
Loading states and skeletons
Toast notifications
Beautiful shadcn/ui components
WHAT YOU'LL LEARN:
How to implement RAG (Retrieval Augmented Generation) with Pinecone
Building AI-powered features with Google Gemini AI
Setting up background job processing with Inngest
Creating a subscription SaaS with Polar
GitHub API integration and webhook handling
Vector embeddings and semantic search
Next.js 16 App Router patterns
React 19 Server Components and Client Components
Prisma database schema design
TanStack Query for data fetching
Authentication with Better Auth
Building production-ready dashboards
P
CodeHorse - Chapter Breakdown
00:00 - 7:44 - Introduction
7:45 - 22:56 - Chapter 1: Theory and Tech Stack
22:57 - 34:40 - Chapter 2: Next.js and Shadcn UI Initialization
34:41 - 46:32 - Chapter 3: Database Setup with Prisma
46:33 - 1:19:44 - Chapter 4: Authentication with Better Auth
1:19:45 - 1:48:00 - Chapter 5: Dashboard Layout and Sidebar
1:49:01 - 2:36:56 - Chapter 6: Dashboard Page and Backend API
2:36:57 - 3:02:56 - Chapter 7: Dashboard Page UI Implementation
3:02:57 - 3:37:20 - Chapter 8: Repository Fetching with Infinite Scrolling
3:37:21 - 4:09:44 - Chapter 9: Repository Connection with GitHub Webhooks
4:09:45 - 4:51:44 - Chapter 10: Settings Page Implementation
4:51:45 - 5:13:52 - Chapter 11: Inngest, AI SDK, and Pinecone Setup
5:13:53 - 5:48:08 - Chapter 12: Codebase Indexing with RAG
5:48:09 - 6:34:24 - Chapter 13: AI Code Review Implementation
6:34:25 - 6:47:28 - Chapter 14: Reviews Page UI
6:47:29 - 7:12:32 - Chapter 15: User Usage and Subscription Limits
7:12:33 - 7:51:52 - Chapter 16: Polar.sh Integration
7:51:53 - 8:29:20 - Chapter 17: Subscription Page UI Implementation
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