# Parallel Code

> Parallel Code is a free, open-source (MIT) desktop app for running several AI coding agents — Claude Code, Codex CLI, Gemini CLI, Copilot CLI, and Antigravity CLI — in parallel, each isolated in its own git worktree. Builds for macOS and Linux.

Key features: parallel agents with automatic git-worktree isolation, Arena mode (race agents head-to-head on one task and keep the winning diff), a diff-first review surface, bring-your-own editor and agent, and mobile progress monitoring via QR code over Wi-Fi or Tailscale. Runs locally with your own API keys.

## Comparisons
- [Parallel Code vs Claude Squad](https://parallelcode.app/compare/parallel-code-vs-claude-squad/): Parallel Code vs Claude Squad compared — a native desktop GUI vs a tmux terminal app, licensing, agents and Arena mode, plus when each fits best.
- [Parallel Code vs Superset](https://parallelcode.app/compare/parallel-code-vs-superset/): Parallel Code vs Superset compared — genuine open source (MIT) vs Elastic License, Arena mode, free phone monitoring, plus when each fits best.
- [Parallel Code vs Vibe Kanban](https://parallelcode.app/compare/parallel-code-vs-vibe-kanban/): Parallel Code vs Vibe Kanban compared — native desktop app vs browser Kanban board, maintenance, agents and licensing, plus when each fits best.
- [Parallel Code vs Conductor](https://parallelcode.app/compare/parallel-code-vs-conductor/): Parallel Code vs Conductor compared — platforms, agents, open source, and price, plus when each is the better pick for parallel AI coding.

## Guides
- [How to Run Multiple Codex Agents in Parallel](https://parallelcode.app/blog/multiple-codex-agents-parallel/): Run multiple Codex agents using the desktop app, CLI worktrees, subagents, cloud tasks, or Parallel Code—and know when to choose each approach.
- [How to Write Better Prompts for AI Coding Agents](https://parallelcode.app/blog/ai-coding-agent-prompts/): A practical AI coding agent prompt template for clearer scope, focused diffs, stronger verification, and fewer avoidable retries.
- [AI Coding Agent Best Practices: A Practical Workflow](https://parallelcode.app/blog/ai-coding-agent-best-practices/): Use AI coding agents without losing control. These 10 best practices cover task scope, worktree isolation, tests, review, security, cost, and merging.
- [What Does Running Multiple AI Agents in Parallel Actually Cost?](https://parallelcode.app/blog/cost-of-running-multiple-ai-agents/): Running several AI agents at once sounds like several times the bill. Here's what really drives the cost — and why parallelism isn't the multiplier you fear.
- [Running AI Coding Agents on Linux: Your Real Options](https://parallelcode.app/blog/ai-coding-agents-on-linux/): Most AI agent orchestrators are macOS-only. Here's what actually runs on Linux — native GUIs, terminal tools, and the CLIs — and how to pick one.
- [Racing AI Agents: Run Claude, Codex, and Gemini on the Same Task](https://parallelcode.app/blog/racing-ai-agents-same-task/): Stop guessing which agent is best. Run several on the same task in parallel, then keep the winning diff. How to race AI coding agents and judge the results.
- [How to Split a Feature Into Parallel AI Agent Tasks](https://parallelcode.app/blog/splitting-work-for-parallel-ai-agents/): Parallel agents only save time when tasks don't overlap. A practical guide to splitting a feature into independent tasks you can run at the same time.
- [Multi-Agent Coding Tools in 2026: An Honest Comparison From Someone Who Built One](https://parallelcode.app/blog/multi-agent-coding-tools-2026/): How to choose between Parallel Code, Nimbalyst, Conductor, Claude Squad, Vibe Kanban, Augment Intent, Gas Town, and Antfarm.
- [How to Use Multiple AI Coding Agents on One Repo](https://parallelcode.app/blog/multiple-ai-agents-one-repo/): A practical guide to running Claude Code, Codex CLI, and Gemini CLI on one codebase without working-copy collisions or merge chaos.
- [Claude Code vs Codex vs Gemini CLI Compared](https://parallelcode.app/blog/claude-code-vs-codex-vs-gemini/): A practitioner's comparison of the three major AI coding agents — code quality, cost, and speed — with guidance on when to use each.
- [Git Worktree Isolation for Parallel AI Agents](https://parallelcode.app/blog/parallel-ai-agents/): Why every parallel AI coding agent needs its own git worktree, branch, and working directory before you scale beyond one session.
- [Git Worktrees: Why AI Agents Need Them](https://parallelcode.app/blog/git-worktrees-explained/): Git worktrees let you check out multiple branches simultaneously from one repo. Here's how they work and why they matter for parallel development.
- [How to Review AI-Generated Code Efficiently](https://parallelcode.app/blog/reviewing-ai-generated-code/): AI agents write code fast, but reviewing it is the real bottleneck. A practical checklist and workflow for staying in control.

## More
- [Parallel Code (home)](https://parallelcode.app/): Free, open-source desktop app for running AI coding agents in parallel.
- [About the creator](https://parallelcode.app/about/): Authorship, project background, and editorial approach.
- [Tool comparisons](https://parallelcode.app/compare/): How Parallel Code compares to other multi-agent coding tools.
- [Blog](https://parallelcode.app/blog/): Guides on parallel AI agents, git worktrees, and multi-agent workflows.

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