AI Engineer Makes Changes in Multiple Repos

One of the hardest challenges for AI coding agents is handling complex changes that span across multiple interdependent repositories. In this walkthrough, learn how an AI engineer utilizes a context graph to understand system-wide relationships, execute coordinated updates across multiple microservices, and automatically generate pull requests across five different repositories at once. Key Takeaways Beyond Monorepos: Why isolated code context fails in real-world microservice architectures. Context Graph Querying: How the AI agent maps relationships across core services and downstream dependencies. Automated Multi-Repo Refactoring: Implementing a global feature (location-aware currency and language localization) across a main app and four dependent microservices. Automated PR Generation: Watch the agent open synchronized Pull Requests (PRs) in GitHub across five distinct repositories simultaneously. Video Chapters 0:00 - The Challenge of Multi-Repo AI Coding 0:31 - App Overview: Enterprise Resource Planning (ERP) Architecture 0:41 - Prompting the AI Agent in Postman 0:58 - How the AI Engineer Queries the Context Graph 1:15 - Building the Localization Feature & Identifying Downstream Services 2:21 - Generating Pull Requests Across 5 Repositories 2:35 - Reviewing the Generated PRs on GitHub 3:53 - Conclusion & Summary #Postman #AIAgents #Microservices #SoftwareEngineering #DeveloperTools #GitHub #SystemArchitecture #AIEngineering