Roblox Unveils Agentic AI Assistant to Plan, Build, and Test Games in Roblox Studio

Roblox has unveiled major upgrades to its built-in AI assistant in Roblox Studio, introducing agentic tools that enable it to independently plan, build, and test games, marking a shift from simple prompt-based responses to collaborative, multi-step workflows. According to the company's official announcement, these features address key pain points in game development, where traditional AI often fails to capture creators' full intent by jumping straight to outputs without analysis or iteration.

The cornerstone of the update is an enhanced Planning Mode, which transforms the assistant into a proactive partner. It analyzes a game's existing code and data model, asks clarifying questions to refine the creator's vision, and generates a detailed, editable action plan for review and approval before execution. As reported by TechCrunch, this mode leverages Roblox's existing AI tools during implementation, ensuring creators retain control while accelerating the process from idea to playable prototype.

New asset generation capabilities further streamline building. Mesh Generation allows creators to produce fully textured 3D objects directly in the game world using simple text or image prompts, replacing low-quality placeholders that developers traditionally use in early prototyping. Roblox is also rolling out Procedural Model Generation, where code-controlled models—like bookcases with adjustable shelf counts or tables with variable chair numbers—can be created, customized, and reused across projects, as detailed in the official Roblox blog.

A standout feature is the assistant's self-correcting loops, which introduce agentic testing. The AI can now run playtests, review logs, capture screenshots, simulate player inputs, identify issues, and propose fixes that feed back into the planning process with minimal human input. The Next Web highlights how this creates iterative cycles of planning, execution, refinement, and testing, reducing rework and enabling faster iteration.

Nick Tornow, Roblox's Senior Vice President of Engineering, emphasized the impact in statements to TechCrunch and the company blog, calling the tools a "multi-step, collaborative development partner" that "reduces barriers between creative vision and execution." He noted that 44% of the top 1,000 Roblox creators already use AI assistants or third-party tools, and these upgrades aim to supercharge that trend.

Additional integrations enhance flexibility, including MCP client support for third-party AI like Claude and Cursor, with a roadmap toward cloud-based multi-agent workflows. This positions Roblox Studio as a more powerful hub for ambitious game creation.

These advancements matter for Roblox's vast creator ecosystem, where millions build experiences for over 80 million daily users, as they lower technical hurdles and democratize high-fidelity development. Creators can prototype more accurately from day one, potentially leading to richer games and faster publishing. Roblox plans further expansions, including procedural models soon, signaling ongoing investment in AI-driven tools.