AI Tools: This Free Repo Lets Claude Code Build Any Mac App

Watch on YouTube: https://www.youtube.com/watch?v=gN6wl-OX8-Q

Channel: Dave Ebbelaar

Building Native macOS Apps with Claude Code: An Introduction to the Bama Repository

Dave Ebbelaar recently showcased Bama (Build Any Mac App), a free GitHub repository of skills and plugins for Claude Code that enables developers to build native macOS applications in Swift. The project extends the “reverse engineer anything” (REA) workflow by turning reverse-engineered specifications into polished, performant native applications. In the demonstration, Ebbelaar replaces more than ten paid Mac utilities with custom-built tools — including a window manager called Onyx, a todo application, and a video editor — all running locally, privately, and without subscriptions.

What the Repository Provides

Bama organizes its capabilities into five skill categories that map to the software development lifecycle:

• Start: Project initialization and scaffolding for new macOS apps
• Planning: Feature specification, architecture decisions, and task breakdown
• Coding: Swift implementation with Apple Silicon optimization
• Design: Design system extraction from screenshots of existing apps or websites
• Shipping: Code signing, distribution preparation, and CLI agent integration

The repository includes complete specifications for three demonstration applications — Onyx (window management and utilities), a todo list clone, and a video editor — which users can clone and modify as starting points.

Step-by-Step Workflow

The typical workflow begins with installation. Users add the Bama skills to Claude Code, after which the /bama slash command becomes available, or the skills auto-trigger when a conversation mentions macOS app building. From there:

1. Reverse engineer a target: Using the base REA project, capture screenshots or recordings of an existing app or workflow you want to replicate.
2. Extract a design system: The design skill uses computer-use capabilities to analyze captured pages and generate a consistent design system (colors, spacing, typography, components).
3. Generate specifications: The planning skill produces detailed feature specs, data models, and UI component breakdowns.
4. Implement in Swift: The coding skill writes native Swift code optimized for Apple Silicon, avoiding Electron or cross-platform frameworks.
5. Optimize performance: A dedicated performance skill runs a measure-improve loop; the video claims a 10× faster export in the custom video editor compared to the reference application.
6. Refactor automatically: As the codebase grows, an automatic refactoring skill applies software engineering best practices to maintain structure.
7. Add a CLI layer: The agent CLI skill builds a command-line interface so other AI agents can drive the finished app programmatically.
8. Ship locally: The result is a signed, distributable macOS binary that runs entirely on the user’s machine with no accounts, cloud sync, or recurring billing.

Tools, Numbers, and Claims

• Core tools: Claude Code, Swift, GitHub (Bama repository)
• Base dependency: “Reverse Engineer Anything” (REA) repository
• Performance claim: 10× faster video export in the custom editor versus the commercial alternative
• Scope of replacement: 10+ paid Mac applications replaced in the demo
• Privacy model: Local-first, no accounts, no telemetry, no subscription fees
• Sponsor note: The video includes a sponsorship from Glydo (dictation tool) with an affiliate link for a free Pro month

You own your own data so you don’t have to share it with people, no accounts, you don’t have to pay for it, no billing.

Why would you pay a subscription and share your data with some company just to manage your to-do list?

Caveats and Hype Check

The 10× video export speedup and the claim of replacing ten-plus paid apps are impressive but have not been independently verified. The Glydo sponsorship uses promotional language (“world’s best”) and includes an affiliate link, which is worth noting for context.

More substantively, building production-grade native macOS applications autonomously still encounters real-world hurdles that the video does not address:

• Code signing and notarization: Distributing outside the Mac App Store requires Apple Developer Program membership and proper notarization workflows.
• App Store distribution: Review guidelines, sandboxing, and entitlements add complexity not covered in a local-first demo.
• Swift concurrency debugging: Data races, actor isolation, and structured concurrency issues can be difficult for AI-generated code to resolve without human intervention.
• macOS version compatibility: Maintaining support across major OS releases (Ventura, Sonoma, Sequoia) requires ongoing testing and conditional compilation.
• Accessibility and system permissions: Window managers, clipboard tools, and global hotkeys require specific entitlements and user approvals.

These factors mean the “zero to shipped app” path will likely involve iterative human oversight, especially for anything beyond personal utilities.

Concrete Next Actions

If you want to explore the workflow yourself, start with these steps:

• Visit the Bama GitHub repository (linked in the video description) and star it to track updates.
• Install the Bama skills/plugin into your Claude Code environment.
• Run the /bama command or start a new session mentioning macOS app building to trigger the skill set.
• Review the /specs folder for example features: window snapper, clipboard history, color picker, launcher, and the three full demo apps.
• Build a simple starter app — such as a todo list — to learn the end-to-end workflow.
• Experiment with the design skills by screenshotting apps you like and extracting their design systems.
• Apply the performance optimization skill for GPU-intensive workloads (video, audio, rendering).
• Try the agent CLI skill to let other AI agents drive your custom applications programmatically.

The Bama repository represents a practical step toward personalized, local-first software — trading subscription fatigue for upfront development effort. For developers comfortable with Swift and Claude Code, it offers a structured path to replace off-the-shelf utilities with tools that exactly match their workflow, data preferences, and performance requirements.