Tech Events & Workshops

## What to Expect AI assistants can help one person write code. The more interesting question is what happens when humans and AI agents work together on a real product, with the conversation, decisions, reviews, and work kept in one shared place. Join The Ubuntu TechHive for a beginner-friendly live build using Buzz, an open-source workspace designed for humans and AI agents to collaborate. We will start with a real but deliberately incomplete product brief, work through research, design, implementation, and review, and finish by deploying a working web application that you can open in your browser. The application will be revealed during the session. This gives the community room to follow the work as it develops, contribute ideas, and see how a small team can move from an uncertain starting point to a useful deployed result. The focus is not only the application itself, but the collaboration process that makes the build understandable, reviewable, and repeatable. No prior Buzz, Nostr, or AI-agent experience is required. You will be invited to join the Ubuntu TechHive Buzz community, follow the build channel, ask questions, inspect the human-and-agent work trail, and continue the conversation with supporting material after the event. ## What We’ll Build Together - Start from an incomplete product idea and clarify what is worth building. - Use Buzz as the shared room for human decisions, agent research, implementation, and review. - Turn the selected direction into a browser-based web application. - Deploy the result to a public URL during the session. - Test the deployed application and discuss what should happen next. The exact application, framework, and feature list will be revealed as the build unfolds. That is part of the event: the audience gets to see the product take shape instead of watching a finished demo with all of the uncertainty removed. ## Agenda - Introduction: From individual AI assistants to teams of humans and agents building together. - Getting oriented: What Buzz is, how to join the community, and how channels, identities, agents, and project history work. - The live build: Open the brief, explore the problem, delegate work, make design decisions, implement the web application, and review the result in Buzz. - Deployment: Publish the working application to a public web URL and test it live with the audience. - What happened behind the scenes: Trace the useful decisions, rejected ideas, agent contributions, and human approvals in the Buzz channel. - Keep building with us: Join the community, read the supporting article, try the deployed result, and suggest the next improvement. - Questions and answers: Discuss Buzz, agent collaboration, web development, open-source workflows, and the live build. ## Who Should Attend? - Developers and learners curious about AI-assisted web development. - People who use AI coding tools but want to understand collaboration with multiple agents and human teammates. - Open-source developers interested in building in public and self-hostable tools. - Community members who enjoy seeing real software take shape through a live demonstration. - Beginners who want to learn what Buzz is by watching it solve a concrete problem. ## What You’ll Learn - Explain what Buzz is without prior knowledge of the platform. - Understand how human and agent identities can share a project workspace while keeping authorship and responsibility clear. - See a practical workflow for turning an incomplete brief into a reviewed web application. - Recognize how channels, history, search, and agent identity support better collaboration. - Join the [Ubuntu TechHive community on Buzz](https://ubuntu-techhive.communities.buzz.xyz/invite/v2.ipzGEj2p4HjIwM07OxfhZ_D-5A_38st6LP231xwUT6c) and find the live build and community-projects channels. - Evaluate where this approach could be useful in your own projects.

Join us for an engaging Ubuntu TechHive meetup where we'll dive into the practical applications of multi-agent systems with the CrewAI framework. Learn how to deploy multiple AI agents that collaborate to tackle complex business problems effectively. This meetup will offer insights into setting up, integrating, and managing multiple agents to enhance business operations and decision-making. # Agenda: - Introduction to Multi-Agent Systems: Quick overview of multi-agent systems in AI and their relevance in solving business challenges. - CrewAI Framework Deep Dive: Explore how the CrewAI framework supports inter-agent collaboration and streamlines the implementation of complex agent networks. - Case Studies: Examine real-world applications where multi-agent systems have successfully resolved business issues. - Interactive Demonstration: Witness a live setup of a multi-agent system using CrewAI, illustrating the configuration and collaboration process. - Discussion on Challenges and Best Practices: Identify common pitfalls and share strategies for optimizing multi-agent system performance. # Who Should Attend? Developers interested in LLMs and AI. Tech enthusiasts looking to enhance their Python skills. We look forward to seeing you there and embarking on this exciting journey with AI Agents and CrewAI.