STUD

A second critical feature group revolves around the Read & Write tools, which include glob pattern matching, grep search, and intelligent file reading with context limits. Stud allows you to navigate your entire codebase using simple terminal commands: glob to find files by pattern, grep to search for specific functions or variables, and read to retrieve file contents with token-awareness. This means you can quickly locate all scripts referencing a certain DataStore key or inspect the implementation of a shared module without manually opening folders. Combined with bash execution, you can run scripts or commands that interact with your development environment. The subagent delegation system further amplifies this by allowing you to hand off complex, multi-file tasks to background agents that work in parallel, freeing you to continue other work.

The third standout feature group is the set of Roblox-specific tools that Stud provides for direct Studio manipulation. These include Script Editing, which lets you read, write, and edit Luau scripts directly inside Roblox Studio instances from the terminal; Instance Manipulation, allowing you to create, move, delete, and modify any object in the game hierarchy with simple commands; DataStore Access, giving you the ability to query and update DataStores for testing and debugging player data without writing auxiliary scripts; and Toolbox Search, which enables you to find and insert models, plugins, and assets from the Roblox Toolbox by typing a search query. Instead of clicking through the Studio interface, you can type 'search Toolbox for medieval village pack' and insert the asset instantly. These specialized capabilities transform the terminal into a complete Roblox development command center.

Stud's overall approach is to integrate modern AI with deep terminal tooling, creating a seamless development experience. It employs a Language Server Protocol (LSP) integration for intelligent code navigation, diagnostics, and autocompletion suggestions. The Model Context Protocol (MCP) extends its capabilities by allowing custom tool integrations, so developers can add their own commands or connect external services. Under the hood, Stud manages sessions that track token usage and conversation history, enabling you to resume work exactly where you left off. The subagent system is orchestrated to handle parallel tasks, ensuring that large-scale refactors or multi-file searches do not block your main workflow. All interactions occur through a beautiful terminal user interface (TUI) that feels natural to command-line enthusiasts, with keyboard navigation and live previews of actions before they are executed.

Concrete use cases for Stud span the entire Roblox development lifecycle. A developer building a competitive game can ask, 'Create a matchmaking queue system with player ratings,' and Stud will generate the server-side Luau code, set up the necessary DataStore structures, and insert any required instances like a lobby screen. During testing, the developer can quickly query DataStores to verify that player data is being saved correctly, all from the terminal without writing a single line of debug script. Another scenario: an environment artist wants to prototype a village scene; they search the Toolbox via Stud for 'village house' and insert the approved models directly into the workspace, iterating rapidly. For larger projects, a team lead might delegate the task of refactoring an entire folder's naming conventions to a subagent, reviewing the proposed diffs before accepting them, which drastically reduces manual effort and ensures consistency across the codebase.

The target audience for Stud is clear: Roblox game developers of all levels who use Roblox Studio and Luau. Solo indie creators will benefit from the AI's ability to quickly scaffold code and handle repetitive tasks, letting them focus on game design rather than boilerplate. Professional studios can leverage the subagent system and granular permissions to integrate Stud into collaborative workflows, ensuring that all team members adhere to coding standards while automating routine scripts. The tool runs natively in any terminal environment—Windows, macOS, or Linux—and is entirely free and open source, with every feature available without cost. Currently in a waitlist phase for private beta, Stud offers early access to its terminal-based AI workflows. In summary, Stud redefines Roblox development by merging the flexibility of natural language with the precision of command-line tools, giving creators a powerful AI assistant that lives in their terminal, ready to code, edit, and ship.