Superset - IDE for the AI Agent Era

Product Introduction

1. Definition: Superset is a parallel execution integrated development environment (IDE) specifically engineered for orchestrating multiple AI coding agents (like Claude Code, Codex, Gemini, and Cursor) simultaneously. It operates as a meta-layer over existing tools, using Git worktrees for task isolation.
2. Core Value Proposition: It eliminates context-switching bottlenecks in AI-assisted development by enabling concurrent agent execution, accelerating coding workflows by 10× while preventing agent interference through sandboxed environments.

Main Features

1. Parallel Agent Orchestration: Runs dozens of CLI-based AI agents (Claude Code, Codex, etc.) concurrently across independent tasks. Each agent operates in a dedicated terminal with real-time status monitoring, using Git worktree technology to create isolated branches per task.
2. Conflict-Free Sandboxing: Automatically isolates each agent’s work in separate Git worktrees, preventing merge conflicts or overwrites. Changes remain sandboxed until manually reviewed and merged via the built-in diff viewer.
3. Unified Monitoring Dashboard: Centralizes all active agents in a single view with notifications for task completion/errors. Integrates live terminal outputs, port forwarding controls (e.g., port 3000 for web apps), and resource usage tracking.
4. IDE-Agnostic Workflow: One-click project opening in VS Code, Cursor, JetBrains, Xcode, or terminal editors. Maintains compatibility with existing tools through CLI integration and MCP server configuration.
5. Change Management Suite: Built-in diff viewer compares modifications against main branches instantly. Supports batch approval/rejection of AI-generated code, commit staging, and direct GitHub PR integration.

Problems Solved

1. Pain Point: Context-switching fatigue from manually managing multiple AI agents, leading to productivity loss and cognitive overload.
2. Target Audience: Solo developers scaling output with AI, engineering teams automating repetitive tasks (bug fixes, refactors), and tech leads overseeing AI-assisted projects.
3. Use Cases:
   • Parallel feature development (e.g., generating UI components while debugging backend logic).
   • Large-scale refactoring with isolated agents per module.
   • Automated PR comment resolution across repositories.

Unique Advantages

1. Differentiation: Outperforms single-agent IDEs (like Cursor) and workflow tools by enabling true parallelism without VM overhead. Unlike script-based solutions, it provides visual orchestration and conflict resolution.
2. Key Innovation: Git worktree orchestration + MCP server architecture allows zero-configuration sandboxing. Patented change-diffing algorithm highlights critical modifications while ignoring trivial edits.

Frequently Asked Questions (FAQ)

1. Does Superset replace my existing IDE? No, it enhances your current setup (VS Code, Cursor, etc.) by adding parallel agent management and sandboxing, opening worktrees directly in your preferred editor.
2. How does Superset handle API keys for agents? It supports user-provided keys via config files (e.g., ~/.claude.json) with project-scoped or global settings, maintaining security through local encryption.
3. Can I use custom AI agents not listed? Yes, Superset works with any CLI-based coding agent. Configure via MCP servers and launch through the terminal interface.
4. What happens if agents generate conflicting changes? Isolation ensures no runtime conflicts. During merge, the built-in diff viewer highlights discrepancies for manual resolution before integration.
5. Is there cloud dependency? Runs locally; agents execute on your machine. Cloud sync optional for backup/collaboration via GitHub integration.