Date: 08/12/2025
Okay, as someone knee-deep in integrating AI into my Laravel workflow, this video immediately caught my attention. It’s all about turning Claude Code into an MCP (Model Context Protocol) server and then letting GPT-5 use Claude Code’s coding tools (file editing, bash commands, etc.) to build a React to-do app. In essence, you’re giving GPT-5 the brain and Claude Code the hands. The video also shows how to set up FlowiseAI as an MCP client for cross-model tool sharing.
Why is this valuable? Well, we’re moving beyond just using one AI model in isolation. This video demonstrates how to orchestrate different AI models, leveraging their strengths. For example, GPT-5 might be better at reasoning and planning the React app’s architecture, while Claude Code excels at the actual code generation and execution. I can see this applying to real-world scenarios where I need one model to handle complex logic and another to deal with specific coding tasks within a Laravel project. Think of using a model specializing in database schema design collaborating with a model that’s a wizard at crafting Eloquent queries.
What makes this experiment inspiring is the potential for creating more robust and efficient AI-driven workflows. The idea of mixing and matching AI capabilities opens doors for automating complex development tasks that would otherwise require significant manual effort. It’s definitely worth experimenting with because it could lead to a future where AI agents work together seamlessly to accelerate development cycles and improve code quality. I’m eager to try this out, specifically for automating the creation of complex database migrations and API endpoints in my Laravel projects.