Open a browser tab, sign in, and the whole RStudio workbench is waiting there, running against R on a Linux server instead of your laptop. The familiar four-pane layout holds a source editor, an R console, Environment and History tabs, and Files, Plots, Packages, Help, and Viewer tabs. The editor opens R scripts, R Markdown, Quarto, and Python files, with code completion, diagnostics, section outlines, and a visual mode for Quarto documents. A Terminal tab and a Python console sit beside the R console, and the Data Viewer sorts, filters, and searches data frames and nested lists. Editor breakpoints and tracebacks help debug functions, while Background Jobs run long scripts in separate R sessions so the IDE stays usable. Shiny apps and Plumber APIs run as background jobs with live reload, and a Git pane handles diffs, commits, pushes, and branches. The Connections tab browses databases, and finished reports go to Posit Connect, shinyapps.io, Quarto Pub, or RPubs. Optional Posit Assistant adds an AI chat pane that works with the model provider you choose, and administrators can switch it off. Because everything runs server-side, a class, a lab, or a team can share one large-memory machine and keep computation next to the data without installing anything locally. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.