Hackathon Roblox AI Agent

Built a Roblox AI Agent powered by ReAct and Reflexion that writes code, debugs, and builds games. It's like an AI teammate that helps developers create Roblox experiences faster.

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Hackathon Roblox AI Agent

Inspiration

My brother and I were inspired to create the Hackathon Roblox AI Agent because we love making Roblox games, but we realized that game development often involves repetitive and time-consuming tasks. Developers spend hours writing Luau code, fixing bugs, building maps, and testing features before they can focus on creativity. We wanted to create more than just an AI chatbot—we wanted an AI teammate that could actively help developers build games inside Roblox Studio. Our goal was to make Roblox game development faster, easier, and more accessible for both beginners and experienced creators.

What it does

The Hackathon Roblox AI Agent is an intelligent assistant that connects directly to Roblox Studio and helps developers throughout the entire game development process. It can generate and edit Luau scripts, build game objects, create animations, debug code, validate projects, and test features before reporting success. Instead of simply answering questions, the agent uses reasoning to plan tasks, perform actions, observe the results, and improve its work until the requested feature is complete. We even used the AI agent to help build our Roblox game, Heroes vs. Villains, demonstrating how it can accelerate the creation of real Roblox experiences.

How we built it

We built the backend using TypeScript, Node.js, and Express, while creating a custom Roblox Studio plugin that allows the AI to communicate directly with Roblox Studio. The agent is powered by Claude Sonnet 4 and follows the ReAct framework to reason through problems by planning, acting, observing, and repeating until a task is complete. If a task fails, it uses Reflexion to analyze the evidence, adjust its strategy, and try again. We also developed over 25 specialized tools that allow the agent to create instances, modify properties, write scripts, generate animations, validate projects, and safely interact with Roblox Studio.

Challenges we ran into

One of our biggest challenges was building reliable communication between the backend and Roblox Studio. Since Roblox Studio cannot be controlled directly, we created a plugin that continuously exchanges commands and results with the backend. Another challenge was making sure the AI did not simply assume it had completed a task correctly. We built an evaluation system that verifies every action using real evidence, such as project validation and runtime observations, before marking a task as complete. Designing these safety and verification systems required a lot of testing and refinement.

Accomplishments that we're proud of

We are proud that we built an AI agent capable of doing much more than generating code. It can reason through complex tasks, safely modify Roblox projects, recover from mistakes, and validate its own work before reporting success. We also successfully built our game, Heroes vs. Villains, using the AI agent to assist with development, proving that it can help developers turn ideas into working Roblox games. Seeing our agent build, debug, and improve real game systems was one of the most rewarding parts of the project.

What we learned

Throughout this project, we learned how to build a complete AI agent instead of a traditional chatbot. We gained experience with backend architecture, REST APIs, Roblox Studio plugin development, AI reasoning frameworks, and safe tool execution. We also learned that creating reliable AI systems requires more than generating code—it requires validating results, handling failures gracefully, and building safeguards that developers can trust.

What's next for Hackathon Roblox AI Agent

We plan to continue expanding the capabilities of the Hackathon Roblox AI Agent by improving its runtime testing, adding stronger visual understanding of Roblox Studio, and supporting even more advanced game development tasks. We also want to enhance its debugging abilities, create additional tools for building complex game systems, and make it easier for developers of all skill levels to collaborate with AI. Our long-term vision is to create an AI teammate that helps anyone build high-quality Roblox experiences faster and with greater confidence.

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