Cursor uses 2.4 GB of RAM. VS Code uses 1.8 GB. Terminal-based Claude Code uses 180 MB and starts in 2 seconds. You get 95 percent of the same capability at 8 percent of the resource cost.
You want to run Claude Code on your VPS. Or your Raspberry Pi. Or your old laptop that chokes on VS Code. Or you SSH into remote servers and need AI coding assistance without a GUI. Every popular AI coding tool assumes you have a modern desktop with 16 GB of RAM and a fast SSD.
But some of the most productive coding happens in terminals: on remote servers, inside Docker containers, over SSH connections, and on machines where a heavy IDE is not an option. You should not need a $2,000 laptop to get AI-assisted coding.
What this replaces
This guide sets up a complete Claude Code environment that runs entirely in the terminal with minimal resource usage.
The setup uses three lightweight components. Component 1 (Claude CLI): The official Anthropic CLI tool that connects directly to the Claude API from any terminal. Supports file reading, code generation, and multi-turn conversations without a GUI. Component 2 (Aider): An open-source coding agent that adds git integration, multi-file editing, and autonomous task execution on top of the Claude API.
Component 3 (tmux + custom scripts): A set of shell scripts that create persistent coding sessions, manage context windows, and provide a split-pane workflow where Claude runs in one pane and your editor runs in another. The total installation is under 50 MB and works on any Unix-based system including remote servers, containers, and ARM devices.
The Stack
Direct terminal access to Claude with file system integration. Supports piping file contents, running shell commands, and maintaining conversation history across sessions.
Adds autonomous coding capabilities: reads your entire codebase, generates diffs, commits changes, and runs tests. Works with any terminal editor (vim, nano, emacs) without requiring a GUI.
Creates persistent terminal sessions with split panes. Claude runs in one pane, your editor in another, and your test runner in a third. Sessions survive SSH disconnections.
System Architecture
The terminal is not a limitation. It is an advantage. Terminal-based workflows are faster because there is no UI rendering overhead, no extension conflicts, and no Electron framework consuming half your RAM. The developers who are most productive with Claude Code are often the ones running it in a tmux session with vim, not the ones using a heavy IDE with 30 extensions.
You do not need a fancy IDE to code with AI. You need a terminal, an API key, and 15 minutes of setup.