Sunal Sood – Design Engineer Pro Download
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Sunal Sood – Design Engineer Pro Download

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Design Engineer Pro by Sunal Sood

Course Overview

What You Will Learn

  • AI-assisted development: Understand how to use AI models and coding environments to accelerate the transition from design to implementation.
  • Tool selection and workflow design: Choose appropriate tools for different tasks and understand concepts such as MCP, CLI, and skills.md.
  • Mobile application development: Build a React Native application, work with authentication and cloud storage, and prepare an Android APK.
  • Native macOS development: Create a macOS application using SwiftUI, refine its interface, and package it as a DMG installer.
  • Production and career readiness: Learn how to contribute to an existing codebase and understand what employers look for in design engineering candidates.
  • Individual guidance: Access two 30-minute one-to-one calls with Sunal and Shashi after completing Module 03.

Curriculum and Module Breakdown

Module 01: The Shift

8 lessons

  • Why an offensive, action-oriented mindset can be more effective than waiting for opportunities or engineering resources.
  • Frontend development, backend systems, and APIs explained in accessible language, with examples involving Pocket FM and Flipkart.
  • The differences between AI tools designed primarily for prototyping and environments intended for building functional applications.
  • The limitations of relying exclusively on tools such as Lovable, v0, and Figma Make.
  • A comparison of AI models, including Opus, Sonnet, Codex, and Gemini.
  • AI usage costs, including tokens, caching, context windows, and practical considerations when choosing a model.
  • How to select an AI model that fits a particular design and development workflow.

Module 02: AI Toolkit

5 lessons

  • Why design taste, prompt quality, and workflow decisions matter more than simply choosing a popular AI tool.
  • How teams at Perplexity, Intercom, Shopify, RAMP, Pocket FM, and Notion use AI, as presented in the course.
  • An overview of Variant UI, Replit, v0, Magic Pattern, Magic Path, Freepic, and Unicorn Studio.
  • Practical workflows for using these tools to improve productivity and move projects forward more efficiently.
  • An introduction to MCP, CLI, and skills.md, including why these concepts matter for designers working with AI-native development workflows.

Module 03: Mobile App — Build and Ship Bunkd

6 lessons

  • Setting up Cursor, Node.js, Expo Go, Xcode, and the iOS simulator.
  • Using a Figma frame and Figma Dev Mode MCP to generate an initial running React Native application.
  • Iterating on the application with a file picker, PDF preview, and Lottie empty states.
  • Working through the practical challenges of an iterative development process.
  • Implementing authentication and cloud storage with Supabase and the Supabase MCP.
  • Investigating a zero-byte upload bug through a live debugging example.
  • Building an Android APK for distribution using EAS.
  • Publishing the codebase to GitHub and learning six commonly used Git commands.

Module 04: Mac App — Build and Ship a Native macOS Application

5 lessons

  • Setting up Kiro for macOS development and understanding which parts of the previous module’s workflow carry over.
  • Building an initial application with Kiro and SwiftUI.
  • Comparing Vibe and Spec modes as part of the development process.
  • Iterating on notch reminders and adding custom sounds sourced from Pixabay.
  • Debugging and refining the interface over three iterations.
  • Adding Lottie icons through Airbnb’s Swift Package.
  • Implementing personalization based on a user’s name.
  • Creating an application icon and packaging the finished project as a DMG installer.
  • Reviewing the included Gatekeeper bypass guide for the distribution process.

Module 05: Stay Relevant — Hiring and Production

2 lessons

  • Becoming a valuable contributor to an organization’s existing codebase.
  • Understanding how to introduce and ship code within a team’s repository without disrupting established work.
  • Identifying the skills and signals employers look for when hiring design engineers.
  • Understanding the potential career trajectory for design engineering roles.

Bonus: Two One-to-One Coaching Calls

two individual calls with Sunal and Shashi

Who Is This Course For?

  • UI and product designers who want to turn Figma designs into working applications rather than relying exclusively on handoffs.
  • UX designers interested in experimenting with implementation and validating product ideas through functional prototypes.
  • Design engineers who want to strengthen their AI-assisted coding workflows and application delivery skills.
  • Independent creators and product builders who want to explore mobile and desktop application development.
  • Design professionals pursuing new roles who want to understand the technical expectations and career opportunities associated with design engineering.

Why Learn AI-Assisted Design Engineering?

  • Faster experimentation: Move from a visual concept toward a working prototype through iterative AI-assisted implementation.
  • Practical technical knowledge: Build familiarity with application frameworks, APIs, backend services, development environments, and version control.
  • End-to-end product work: Follow projects through implementation, debugging, and packaging instead of stopping at a static mockup.
  • Broader collaboration: Develop an understanding of codebases and technical workflows that can support collaboration with engineering teams.
  • Career development: Explore the skills and working practices associated with design engineering roles.

Tools and Technologies Covered

  • AI models: Opus, Sonnet, Codex, and Gemini.
  • AI-assisted development and prototyping: Cursor, Kiro, Replit, Lovable, v0, Figma Make, Variant UI, Magic Pattern, Magic Path, Freepic, and Unicorn Studio.
  • Design-to-code integration: Figma Dev Mode MCP and other MCP-based workflows.
  • Mobile development: React Native, Node.js, Expo Go, Xcode, and the iOS simulator.
  • Backend and storage: Supabase and its MCP integration.
  • Build and distribution: EAS, Android APK packaging, and DMG installers for macOS.
  • Native macOS development: SwiftUI and Kiro.
  • Interface animation: Lottie and Airbnb’s Swift Package.
  • Version control: Git and GitHub.
  • Development concepts: Frontend, backend, APIs, CLI, tokens, caching, context windows, and skills.md.

Learning Approach and Expected Outcomes

  • Choosing AI models and development tools for different tasks.
  • Connecting design references to an initial application implementation.
  • Building and iterating on a React Native mobile app.
  • Working with authentication and cloud storage through Supabase.
  • Debugging practical implementation problems.
  • Preparing an Android APK and a macOS DMG installer.
  • Maintaining a project through Git and GitHub.
  • Contributing more confidently to an existing codebase.
  • Preparing for design engineering opportunities and discussing relevant technical work.

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https://www.designengineer.pro/

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