Superconductor
super.engineering- Category
- AI Agents
- Rank
- No. 891Tools index
Previous survey · No. 880 ·
- Pricing
- Paid
- Type
- APP
- Builder
- @superdoteng
- Date
About
A native macOS app that lets you run unlimited parallel AI coding agents in isolated git worktrees. Built in Rust with GPU-accelerated rendering for instant startup and smooth performance when orchestrating multiple agents like Claude Code, Codex, and Gemini CLI.
What it does
Its homepage describes super.engineering as a purpose-built, keyboard-driven workspace for agentic engineering, built entirely in Rust, offering a GPU-rendered terminal, customizable layouts and themes, and orchestration of many coding-agent sessions across isolated git worktrees in one interface.
Stated on the product site
- Platform support
- Currently macOS only, with Apple Silicon performance called out; Windows and Linux are described as planned
- Agent execution model
- Coding agents run as native subprocesses using the user's own accounts and API keys rather than being proxied
- Data handling
- States that code, credentials, conversations, and project data stay on the user's machine rather than passing through super.engineering's own systems
- Repository/forge integrations
- Connects to GitHub (Cloud and Enterprise) and GitLab (Cloud and self-managed), including PR/MR checks and pipelines
- Interfaces offered
- Provides a command-line interface (an sc command set) alongside the GUI app for launching and messaging agents and teams
Not stated on the site
- The page doesn't show pricing or subscription plans for super.engineering.
- The page doesn't show what license terms govern use of the app.
- The page doesn't show pricing or rollout requirements for the teams/enterprise offering, describing it only as available on request.
Written from the product site at super.engineering.
What it can do
Run unlimited parallel AI coding agents
Multiple AI agent configurations → Concurrent code generation and modification tasks
Isolate AI agents in separate git worktrees
Git repository and agent tasks → Isolated development environments for each agent
Orchestrate multiple AI coding models
Coding tasks and model selection (Claude Code, Codex, Gemini CLI) → Coordinated code development across different AI models
Generate code using Claude Code agent
Natural language prompts or coding requirements → Generated source code
Generate code using Codex agent
Natural language prompts or coding requirements → Generated source code
Generate code using Gemini CLI agent
Natural language prompts or coding requirements → Generated source code
Provide GPU-accelerated rendering for agent management
Multiple running AI agents and their outputs → Real-time visual interface updates
Intel on Superconductor
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