Entangle: Share Live AI Coding Sessions with a 3-Word Command

Entangle, a new tool for AI-assisted pair programming, lets users share live coding sessions with a three-word command, 'entangle link @user', providing real-time terminal and AI agent context sharing. The tool, which supports up to five participants and includes secret redaction, addresses the friction of remote collaboration with AI coding tools like Claude Code. Users can configure session settings, including relay region and transcript retention, in a YAML config file.

Entangle: Share Live AI Coding Sessions with a 3-Word Command entangle link @user That's it. The person you tag gets a real-time view of your terminal, your AI agent /en/tags/ai%20agent/ 's context, and can start contributing immediately. It's like VS Code Live Share but built for AI-assisted workflows. Here's how I've been using it in practice: The workflow I actually use When I'm pair-programming with a colleague on a tricky Claude Code /en/tags/claude%20code/ task, instead of screen-sharing over Zoom and explaining what I'm doing, I just run: entangle link @colleague They get a link in their terminal chat or Discord DM. Clicking it drops them into the same session — same files open, same AI context, same conversation history with the LLM agent. They can type suggestions, run commands, or just watch and learn. Configuration that matters The default settings worked fine, but here's what I changed in ~/.entangle/config.yaml : session: max participants: 5 auto save: true transcript retention: 7d ai context: include prompt history: true include tool calls: true redact secrets: true network: relay region: auto picks closest server The redact secrets flag is the one that actually matters — it scrubs API keys and passwords from the shared context before anyone else sees it. Real-world gotchas Latency : If the relay server picks a region far from both of us, there's noticeable input lag. The auto region setting usually works, but I've manually set it to us-east when working with teammates on the East Coast. File sync : It shares the current working directory, not a git repo. So make sure you're both on the same branch, or at least have committed your changes. AI context size : With multiple people contributing, the LLM agent's context window fills up faster. I've had sessions where we hit Claude /en/tags/claude/ 's limits after about 45 minutes of back-and-forth. For anyone doing remote pair programming with AI coding tools, this solves a real friction point. No more "here's my screen, now watch me type" sessions. You hand off control and the AI context just flows naturally to whoever you invited. Next How I Track AI Token Spend Across Claude Code, Cursor, and Codex → /en/threads/4929/