design

Streamline dev with factoryfloor

Name: Streamline dev with factoryfloor
Author: alltuner

Get a unified workspace for macOS development. For founders needing efficient coding tools.

From the repo · “AI-powered macOS development workspace. Git worktrees, Claude Code sessions, and dev servers in a single native app.”

114 stars9 forksSwiftGuide quality 8/10 · reviewed Aug 7Updated 10/22/2026100% free · open source

What it does

Factoryfloor is an AI-powered macOS development workspace that integrates Git worktrees, Claude Code sessions, and dev servers in a single native app to streamline development tasks.

When to use it

•When you need to manage multiple Git worktrees for different development tasks
•When you want to leverage Claude Code sessions for AI-powered coding assistance
•When you need to run dev servers for testing and debugging purposes

Ready-to-paste prompt

Create a new Git worktree for a feature branch: `git worktree add -b feature/new-feature origin/feature/new-feature`

Heads up: Ensure you have the latest version of Xcode installed, as Factoryfloor is built using Swift and requires a compatible Xcode version to build and run

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/factoryfloor && curl -fsSL https://workflowstacks.com/api/skills/factoryfloor/claude-skill -o ~/.claude/skills/factoryfloor/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Streamline dev with factoryfloor works

Codeflow

Free to inspect

Streamline dev with factoryfloor is a large Swift project (~15k lines across 69 code files, plus 21 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~15k lines · 69 code files · ~2 h to skim

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Swift

No API keys detected

Swift 85%HTML 8%Python 3%Shell 2%JavaScript 2%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows

What's in each folder

docs/Documentation13 files

website/Project website81 files

Sources/Folder55 files

Resources/Folder35 files

Localization/Folder10 files

scripts/Helper scripts10 files

editor/Folder5 files

Tests/Tests — proof it works21 files

READMEHas testsDocumentedCI checksMIT licenseUpdated this month