Designing & Building PR Review Multi Agent System (3 Hours Build)

In this video, you’ll design & build a production-ready AI Pull Request Review Agent from first principles. Instead of copying an architecture diagram, you’ll learn the engineering loop used to design reliable AI systems that work outside of demos. You’ll see why a simple LLM + RAG pipeline fails, how senior engineers actually review code, and how that process becomes a multi-agent architecture with retrieval, orchestration, confidence scoring, and human approval. This is a system design tutorial for AI-native software engineering. Resources and signups to do:- TigerData for setting up our all three DBs mentioned in this video:- https://tsdb.co/ayush1 (Remember to signup from this link to get $1000 in credits, even though you can build on free tier but recommended to upgrade so you can work with it flexibly) Get your design document here:- https://topmate.io/ayush_singh13/2214687 We're working on a video (Genesis - Harness - This is one of the harness used in this video - https://www.antern.co/blogs/genesis-kit/ ) Github Link of Genesis Kit(Loop that prompts itself) :- https://github.com/ayush488-glitch/ge... In this video Why “LLM + RAG” is not enough for production How senior engineers review pull requests Designing AI systems from first principles Multi-agent architecture for code review Retrieval and context engineering Failure-mode analysis using a 2×2 framework Engineering failures vs. LLM failures Human-in-the-loop (HITL) review gates Confidence scoring and evidence-based reviews Building a reliable orchestration workflow The Genesis development ritual Verification-first AI development Cost-aware AI architecture Production readiness for AI agents You'll need following account creds setup :- TigerData for setting up our all three DBs mentioned in this video:- tigerdata.com/go/kol (Remember to signup from this link to get $1000 in credits, even though you can build on free tier but recommended to upgrade so you can work with it flexibly) Get your design document here:- https://topmate.io/ayush_singh13/2214687 We're working on a video (Genesis - Harness - This is one of the harness used in this video - https://www.antern.co/blogs/genesis-kit/ ) Github Link of Genesis Kit(Loop that prompts itself) :- https://github.com/ayush488-glitch/ge... Technologies & Concepts OpenAI, GPT, LangGraph, Retrieval-Augmented Generation (RAG), Context Engineering, Multi-Agent Systems, AI Agents, GitHub Pull Requests, Code Review Automation, Human-in-the-Loop (HITL), Software Architecture, System Design, Vector Search, Embeddings, Confidence Scoring, Agent Orchestration, Verification, Evaluation, Prompt Engineering, AI Native Engineering. If you enjoy deep technical content on AI systems, agentic software engineering, LLM infrastructure, and production architecture, subscribe for weekly videos. 🌟 Connect with me on social media 🌟 Instagram:   / ai.ayush_singh   LinkedIn:   / ayush-singh488   Keywords AI PR Review Agent, AI Code Review, GitHub PR Review, Multi Agent AI, LangGraph Tutorial, Context Engineering, RAG Tutorial, AI Software Engineering, AI Agent Architecture, Agentic Coding, OpenAI API, LLM Engineering, AI System Design, Production AI, Human in the Loop, Retrieval Augmented Generation, GitHub Automation, AI Coding Assistant, Software Architecture, Engineering Design, AI Workflow, AI Orchestration, Code Review Automation, AI Infrastructure, Genesis Framework, Build AI Agents #AI #AIAgents #SoftwareEngineering #SystemDesign #LangGraph #OpenAI #GitHub #CodeReview #LLM #ContextEngineering #RAG #AgenticAI #MachineLearning #ArtificialIntelligence