CF

Build a React Native app with Claude AI

13h 53m 10s
English
Paid

Unlock the future of mobile application development by integrating cutting-edge AI tools into your React Native workflow. This comprehensive course is designed to transform how you approach building mobile apps, leveraging the power of AI platforms like Claude and Locofy to enhance productivity and efficiency.

Course Overview

Participants will dive deep into the seamless integration of AI technologies with React Native to revolutionize their coding practices. Learn how to harness AI to not only expedite code generation but also to elevate your problem-solving capabilities.

Why Choose This Course?

  • Accelerate Your Coding: Discover AI tools that help in writing code faster and more efficiently.
  • Boost Problem-Solving Skills: Use AI to enhance diagnostic and troubleshooting processes.
  • Maximize Productivity: Optimize your development workflow by incorporating AI-driven solutions.

Key Learning Outcomes

  1. Understand the fundamentals of integrating AI with React Native development.
  2. Master the use of Claude and Locofy to streamline app development.
  3. Develop skills to use AI for optimizing code quality and performance.

About the Author: DesignCode (Meng To)

DesignCode (Meng To) thumbnail

DesignCode (designcode.io) is the online course platform of Meng To, a Vietnamese-Canadian designer-developer best known for the Design+Code book — one of the earliest works to seriously bridge interface design and iOS / SwiftUI implementation for designers learning to code.

The platform's distinctive contribution is the design ↔ engineering bridge: each course covers both the visual / design craft and the implementation in Swift / SwiftUI, React Native, or web. Course material covers SwiftUI app design, Figma design systems, animation in SwiftUI and CSS, the React / Tailwind front-end stack, and the broader design-engineering boundary that most pure-design or pure-coding courses don't address.

The CourseFlix listing under this source carries over 10 DesignCode courses spanning that range. Material is paid; DesignCode runs on a monthly / annual subscription on the original platform. Courses are aimed at designers learning to ship code or developers wanting to push their design craft.

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#1: 01 Introduction
All Course Lessons (64)
#Lesson TitleDurationAccess
1
01 Introduction Demo
03:38
2
02 Mastering Responsiveness in Figma
11:15
3
03 Design to Code with LocofyLocofy
10:56
4
04 Using Git for Version Control
12:58
5
05 Integrating Claude AI into Your Workflow
18:34
6
06 Mastering Reanimated - A Step-by-Step Guide to Animation
16:00
7
07 Introduction to Cursor - The AI-Powered Code Editor
15:05
8
08 How to Implement a Figma Prototype - Step-by-Step Guide
10:17
9
09 Creating a Smooth Entrance Animation
10:33
10
10 Screen Navigation Structure
10:35
11
11 Implementing Navigation and Animations
10:12
12
12 Navigation and Component Architecture
10:18
13
13 Handling Back Navigation and Parameter Passing
11:10
14
14 Introduction to Interaction Design with Animated Menus
10:44
15
15 Handling User Interaction and Animations
09:14
16
16 Modal’s Components and Linear Gradient
11:12
17
17 Using State and Coordinates to Control Animations
10:14
18
18 Implementing Mode Switch Animation and Gradient Effects
09:34
19
19 How the AnimatedText Component Uses Animation for Mode Switching
11:11
20
20 How to Develop a Toggleable Defrost Component with Animation
11:52
21
21 Building a Custom Segmented Control for Fan Settings
10:30
22
22 Understanding the TemperatureControl Component Structure
13:00
23
23 How TemperatureSetting Manages State and Interacts with Parent Components
12:27
24
24 Implementing Animated Temperature Presets
12:28
25
25 Introduction to React Native Gesture Handler and RootView Setup
11:39
26
26 Building an Interactive Modal Drag Gestures and Smooth Animations
12:51
27
27 Accurate Layout and Gesture Control
17:16
28
28 Enhancing Temperature Control with Gesture-Based Interactions
09:55
29
29 Gesture Animations and State Synchronization
19:54
30
30 Enhancing UI with Pinch Gesture and Temperature Features
11:43
31
31 Implementing Persistent Temperature Tracking with React Context
18:08
32
32 Managing Initial Data Load with AsyncStorage
11:13
33
33 Creating Realistic Test Data with the generateDummyData Function
23:18
34
34 Implementing Temperature State Management
18:19
35
35 Optimizing UI Architecture Through Context and Refactoring
11:52
36
36 Implementing the NavigationBar Component with Drawer Animation
20:33
37
37 Building the Temperature History Screen
16:46
38
38 Getting Started with Codeium Windsurf
09:31
39
39 Building a Profile Screen with Cascade
14:47
40
40 Turning Designs into Functional Code
18:25
41
41 Understanding Dynamic Navigation with theВ handleBackPressВ Function
10:16
42
42 Implementing a Machine Learning Temperature Prediction Feature
10:40
43
43 Ensuring Accurate Temperature History Logging with Preset Selections
11:22
44
44 Understanding Time-Based Logic in Machine Learning for Temperature Prediction
12:13
45
45 How theВ predictTemperatureВ Function Combines Data for Accurate Results
16:07
46
46 Integrating Machine Learning Predictions the TemperatureContext
08:50
47
47 Enhancing User Feedback withВ isAutoSetВ in Temperature Controls
05:10
48
48 Implementing Authentication with Supabase and Expo
13:24
49
49 SQL Editor and Database Basics
10:58
50
50 Automating User Profile Management with SQL and Supabase
13:14
51
51 Setting Up the Supabase Client
18:23
52
52 Implementing Authentication with Context API and Supabase
16:11
53
53 Implementing User Registration with Supabase
15:17
54
54 From SignUp to Profile Setup A Complete Supabase Flo
15:25
55
55 Managing User Profiles with Supabase
12:08
56
56 Designing Efficient UI Components for Readability and Usability
11:43
57
57 Building a Temperature Selection Modal
10:55
58
58 Implementing Date Pickers and Input Fields
17:01
59
59 Building a Secure Sign-In Flow
10:53
60
60 Setting Up Google Authentication
08:35
61
61 Configuring OAuth Credentials for Google Authentication
09:15
62
62 Handling Google Authentication in AuthContext
18:23
63
63 Implementing Google Sign-In in
16:00
64
64 Implementing Supabase Storage for Profile Picture Uploads
20:40
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Frequently asked questions

What prerequisites are needed for this course?
Participants should have a foundational understanding of React Native and basic programming concepts. Familiarity with tools such as Git for version control and Figma for design is beneficial, as these are integrated into various lessons, like 'Mastering Responsiveness in Figma' and 'Using Git for Version Control'.
What projects will I build during the course?
The course involves building several components and features, such as a 'TemperatureControl Component', 'Profile Screen with Cascade', and implementing 'Machine Learning Temperature Prediction Feature'. These projects integrate AI tools like Claude and Locofy to enhance functionality and efficiency.
Who is the target audience for this course?
This course is ideal for React Native developers looking to integrate AI into their development workflow. It is also suitable for those interested in enhancing their coding efficiency and problem-solving skills using AI-driven tools like Claude AI and Locofy.
How does the course depth compare to others in the field?
The course offers a comprehensive exploration of AI integration into React Native, covering both basic and advanced topics. Key lessons include 'Integrating Claude AI into Your Workflow' and 'Implementing Machine Learning Temperature Prediction Feature'. It provides a deeper dive into AI-assisted development compared to standard React Native courses.
What specific tools or platforms are covered in the course?
The course covers several tools and platforms, including Claude AI for AI integration, Locofy for design-to-code transformation, and Supabase for authentication and database management. Lessons also explore the use of the AI-powered code editor, Cursor, and the implementation of Google Authentication.
What topics are not covered in this course?
While the course extensively covers AI integration with React Native, it does not delve into non-AI-related mobile development frameworks or languages outside of React Native. Additionally, advanced machine learning concepts beyond the scope of temperature prediction are not covered.
What is the expected time commitment for this course?
The course consists of 64 lessons, each building on the last to provide a thorough understanding of integrating AI with React Native. While the exact runtime is not specified, participants should be prepared for a time commitment that allows for both lesson engagement and practical application of concepts.