Coding with AI Agents and Resolving Git Merge Conflicts

When you collaborate with AI coding agents, you gain a powerful development partner, but you also introduce new version control challenges. Managing different architectural plans and handling the resulting code integration requires a solid understanding of both agentic workflows and Git. This course teaches you how to guide AI agents through the development lifecycle, from initial planning to final code integration. You will discover how to evaluate competing AI-generated architectural plans, make informed design decisions, and systematically resolve the merge conflicts that inevitably arise when human and machine code collide. What you'll learn: - Understand the foundational concepts of AI coding agents and how they generate development plans - Evaluate and compare different architectural plans generated by multiple AI models - Apply Git best practices to manage code branches when working alongside AI assistants - Resolve complex merge conflicts step-by-step using modern Git workflows - Configure agent prompts and instructions to minimize code overlap and integration issues Starting with basic terminology, you will progress from understanding agent planning mechanics to executing hands-on Git resolution strategies through written explanations and code scenarios. This course is designed for beginner developers, software engineers, and tech enthusiasts who want to integrate AI agents into their daily coding workflows without fear of breaking their repositories. No prior experience with AI agents is required. Start reading today to master the art of co-authoring code with intelligent agents.