Tech Events & Workshops

## What to Expect A practical two-hour session on turning code quality expectations and team conventions into automated checks—so developers and coding agents get feedback on what belongs in your codebase, not just what compiles. Code can run correctly and still break your team’s rules: too many branches in one function, business logic in the wrong directory, or calls that bypass an approved API. Through small working demos, we will make these violations visible, adjust complexity thresholds, and implement conventions that no standard linter knows about. The emphasis is on making your expectations executable. Instead of repeating a convention in every prompt or code review, we will express it as a check that identifies violations and provides concrete feedback for correcting them. We will also distinguish likely bugs from team preferences, and explore why passing every check does not automatically mean good design. Audience: developers, technical leads, and architects interested in keeping codebases consistent as human and AI-generated contributions grow. No prior experience writing custom checks is required. Outcomes: * Distinguish correctness checks, complexity measurements, and team-defined conventions * Configure a complexity threshold and observe its effect on otherwise unchanged code * Implement custom rules about where particular functions and dependencies belong * Enforce application-specific naming conventions beyond a tool’s built-in defaults * Understand when inspecting syntax is sufficient and when deeper analysis is needed * Give developers and coding agents actionable feedback rather than repeated reminders * Recognize what automated checks can enforce—and what still requires judgment Format: two hours with a short introduction, small working demonstrations, deliberate rule violations, discussion of tradeoffs, and questions and answers.

## 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.