The creator experiments with building a Meetup-style web app using Claude Code sub-agents to handle front-end, back-end, and deployment tasks in parallel, while also exploring Google Opal but ultimately focusing on Claude Code. Despite encountering typical development challenges, the video demonstrates how AI-powered sub-agents can collaborate effectively to manage complex workflows, with plans for future improvements and ongoing development.
In this video, the creator embarks on an experimental journey to build a simple web app using Claude Code sub-agents, focusing on a Meetup-style application to be hosted on Vercel. The plan involves creating three specialized agents: a front-end agent to handle the Next.js-based user interface with shadCN components, a back-end agent to manage the Neon database and API endpoints, and a deploy agent to manage deployment and handle build errors on Vercel. The creator also briefly explores Google Opal, a no-code tool similar to N8N, but decides to prioritize building the app with Claude Code agents.
The process begins with defining and generating the three agents using dictation and Claude Code’s capabilities. Each agent is given a clear description and role, with the front-end and back-end agents intended to work in parallel. The creator uses plan mode in Claude Code to outline the app’s requirements, including user registration rules, event creation, and attendee management, emphasizing a dark-themed, minimalistic UI. This planning phase helps structure the development tasks and coordinate the agents’ work efficiently.
As the agents start working, the creator encounters typical development challenges such as build errors, incomplete features, and UI issues. The primary agent intelligently delegates these problems to the appropriate sub-agent based on their descriptions, demonstrating task delegation and parallel development. For example, UI bugs are assigned to the front-end agent, while API and database issues go to the back-end agent. The creator also tests features like event joining, attendee display, and confirmation to ensure the app functions as intended.
Throughout the stream, the creator discusses the practical aspects of using Claude Code, including token usage, session limits, and cost management, comparing it with other models like GPT-3 and Gemini. They highlight the benefits of sub-agents in maintaining context and managing complex workflows without polluting the main conversation. The creator also touches on potential future improvements, such as adding a security agent to validate input fields and enhance app safety, and considers doing giveaways to help others try out Claude Code.
In conclusion, the video showcases a hands-on exploration of building a web app with AI-powered sub-agents, illustrating both the potential and current limitations of this approach. While the app is not fully polished, the experiment successfully demonstrates how sub-agents can collaborate on different parts of a project, handle errors, and improve development efficiency. The creator plans to continue refining the app and possibly introduce security features, inviting viewers to follow along and engage with the evolving workflow.