Claude Code and Unreal Engine 5 Deliver Playable Prototype Through Free AI Plugins

On June 10, developer Stefan posted a video that showcased a striking proof of concept: Claude Code, paired with two free plugins, can turn an empty Unreal Engine 5 project into a playable game prototype in a matter of hours.

Stefan’s workflow starts with Unreal Engine 5.7 and the Claude Code command‑line interface, both launched from the same project folder. He instructs Claude to fetch the UnrealClaude and VibeUE plugins from GitHub and the official sites, install the required libraries, and run basic connectivity checks. With a free VibeUE API key, the AI gains access to blueprint editing and Python command execution inside the editor. A CLAUDE.md file in the project root logs the setup, enabling the developer to pick up where he left off, while Git tracks every change that the AI introduces.

UnrealClaude supplies Claude with viewport access, allowing the AI to capture screenshots and move objects. VibeUE, acting as an MCP server, lets Claude send structured commands to the editor—creating or modifying blueprints, adjusting materials, and executing Python scripts. Together, the plugins eliminate the copy‑paste routine and prevent fragile setups that previously broke quickly.

Stefan began his test project with a third‑person template and imported a custom fox model created by another AI tool. He added reference assets to the content folder and kept prompts short and specific, such as, “create a tile path that moves forward, disappears behind the player, and allows lane switching with A and D keys, including obstacles and coins that appear only in safe areas.” Claude produced a blueprint named BP_Runner_Tile, added variables for tile length and path length, and fine‑tuned the logic so new tiles appeared at the correct time while old ones were removed.

Next, Stefan supplied meshes for a stone bridge, spiky roller obstacles, and coins. He prompted Claude to replace placeholder shapes with the new meshes, apply physically based rendering materials, and position items to avoid clipping. When geometry issues surfaced, Stefan captured a screenshot and sent it to Claude; the AI used line traces to detect problems and nudged objects into better positions. The iterative loop involved asking Claude to run the game in editor, capture a new screenshot, and identify faults. The AI then adjusted blueprint nodes or variables, tested again, and repeated until the prototype ran smoothly.

The result is a clean endless runner: a fox character strides automatically across a stone bridge in a mountain landscape while the player dodges hazards and collects coins to boost score and speed. A simple UI displays progress and offers a retry button. Stefan noted that keeping the project scope focused kept token consumption reasonable—for example, adding a feature that drops safe coins randomly required roughly 15 minutes and 14,000 tokens on the Opus model.

This demonstration shows that Claude Code, when paired with the right plugins and a clear workflow, can generate functional game logic and assets without extensive manual coding. The MCP‑based communication reduces the errors that previously plagued AI‑driven development. While the prototype remains a proof of concept, the approach could streamline early prototyping for indie developers and cut the time needed to iterate on gameplay mechanics.

Stefan has not announced a public release of the prototype, but he plans to continue refining the project and exploring additional features. The integration of Claude Code with Unreal Engine 5 represents a step toward more accessible AI‑assisted game development.