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Roblox is introducing new agentic features to help developers plan, build, and test games on its platform, the company told TechCrunch exclusively. Roblox is revamping Roblox Assistant, its plain-language AI tool for game development, to help creators throughout the entire development process.
The company says that AI tools that take in a prompt and output a solution in one step can often fail to truly capture a creator’s original intent. That’s why it’s introducing an enhanced “Planning Mode” that transforms Assistant into a collaborative partner that can analyze a game’s code and data model, ask clarifying questions, and translate prompts into editable action plans.
Planning Mode helps developers create a plan for their game, get feedback to refine details, finalize the approach, and then implement that plan. Creators can tweak the plan and add context to ensure their intent is clearly reflected before any changes are made.
For example, if a creator tells Assistant to “create a park mini game with a fountain and foliage where characters have to collect coins,” the Assistant may ask what visual style they want the park to have, with options like cartoony, realistic, and fantasy. Or, the Assistant may ask how they want the park’s assets, like a fountain and foliage, to be created, offering options such as building from scratch, using models from the Creator Store, or a mix of both.
Once there is a plan in place, Planning Mode will leverage Roblox’s other AI tools while it creates the game. These AI tools include two new ones announced today: Mesh Generation and Procedural Model Generation, which are designed to speed up development.
Mesh Generation makes it easy to add fully textured meshes, or 3D objects, directly into the game world. Roblox says that during the early stages of development, developers often create placeholder assets to understand how the player will interact with the world. With Mesh Generation, creators can quickly create 3D models instead of having to rely on low-quality placeholders.
For example, creators can ask Assistant to generate a campfire, then add light to make it more realistic, and then set the scene at night.
Roblox will also soon introduce “Procedural Models” to allow developers to create editable 3D models with code and Assistant. Because Assistant understands 3D space and physical relationships, creators can use prompts to place and scale objects based on other objects in the scene.
Attributes like the number of shelves in a bookcase or the height of a staircase can be adjusted dynamically, creating editable building blocks that can be refined and reused elsewhere.
“The launch of our agentic features in Roblox Studio reduces barriers between creative vision and execution, said Nick Tornow, senior vice president of Engineering, in a statement to TechCrunch. “Creating with Planning Mode and our Procedural Generation tools is a powerful new method for creators to turn their concepts into gameplay. Assistant works as a multi-step, collaborative development partner — accelerating the process of planning, building, and testing, so creators can get from idea to reality faster.”
As Planning Mode executes against the plan, it will use playtesting tools to read output logs, capture screenshots, use inputs like a keyboard and mouse to check design and gameplay, and identify bugs and provide feedback to the Assistant so it can fix them automatically.
“With the new capabilities across planning, building, and testing, Assistant is better at using agentic loops to test different aspects of the game, surface suggested solutions, and then incorporate the results into future planning loops, creating a self-correcting system that becomes more accurate over time,” Roblox explained in a blog post.
Roblox also announced that it’s working on enabling multiple AI agents to work together in parallel, run long, complex workflows in the cloud, and handle tasks like coding, testing, and creating more realistic game characters. It also wants to ensure creators can seamlessly use Claude, Cursor, Codex, and other third-party tools with Roblox Studio.
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Aisha is a consumer news reporter at TechCrunch. Prior to joining the publication in 2021, she was a telecom reporter at MobileSyrup. Aisha holds an honours bachelor’s degree from University of Toronto and a master’s degree in journalism from Western University.
You can contact or verify outreach from Aisha by emailing aisha@techcrunch.com or via encrypted message at aisha_malik.01 on Signal.
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