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Roblox’s AI assistant gains agentic tools to plan, build, and test games

Roblox’s AI assistant gains agentic tools to plan, build, and test games

September 12, 2026
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Roblox is rolling out new agentic capabilities to streamline how developers plan, build, and test games on its platform, the company revealed exclusively to TechCrunch. The company is upgrading Roblox Assistant, its natural language AI tool for game development, to support creators across the entire development lifecycle. According to the company, AI tools that accept a single prompt and output a solution in one step often fail to accurately capture a creator’s original vision. To address this, Roblox is introducing an enhanced “Planning Mode” that transforms Assistant into a collaborative partner capable of analyzing game code and data models, asking clarifying questions, and converting prompts into editable action plans. Planning Mode assists developers in creating a game plan, refining details through feedback, finalizing the approach, and then executing that plan. Creators can adjust the plan and add context to ensure their intent is clearly reflected before any changes are implemented. Roblox’s AI assistant gets new agentic tools to plan, build, and test games

Image Credits:Roblox

For instance, if a creator instructs Assistant to “create a park mini-game with a fountain and foliage where characters collect coins,” the Assistant might ask about the desired visual style for the park, offering options such as cartoony, realistic, or fantasy. Alternatively, it could inquire about how park assets like fountains and foliage should be created, providing choices such as building from scratch, using models from the Creator Store, or combining both approaches. Once a plan is established, Planning Mode leverages Roblox’s other AI tools to generate the game. These include two newly announced tools: Mesh and Procedural Model Generation, designed to accelerate development. Mesh Generation simplifies the process of adding fully textured meshes, or 3D objects, directly into the game world. Roblox notes that during early development stages, creators often use placeholder assets to understand player interactions. With Mesh Generation, creators can quickly produce 3D models without relying on low-quality placeholders. Roblox’s AI assistant gets new agentic tools to plan, build, and test games

Image Credits:Roblox /

For example, creators can ask Assistant to generate a campfire, then add lighting effects to enhance realism, and finally set the scene for nighttime. Roblox is also preparing to introduce “Procedural Models,” enabling developers to create editable 3D models using code and Assistant. Since Assistant understands 3D space and physical relationships, creators can use prompts to position and scale objects relative to other elements in the scene. Attributes such as 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 the plan, it utilizes playtesting tools to read output logs, capture screenshots, and use inputs like a keyboard and mouse to verify design and gameplay. It identifies bugs and provides feedback to the Assistant, enabling automatic fixes. Roblox’s AI assistant gets new agentic tools to plan, build, and test games

Image Credits:Roblox

“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 it is working on enabling multiple AI agents to collaborate in parallel, run long and complex workflows in the cloud, and handle tasks such as coding, testing, and creating more realistic game characters. The company aims to ensure creators can seamlessly integrate Claude, Cursor, Codex, and other third-party tools with Roblox Studio.
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