CF

Coding With AI 2026

16h 23m 42s
English
Paid

Coding With AI 2026 is a 114-lesson 16 hours 23 minutes self-paced course by Brad Traversy. Learn a clear way to build software with AI.

Course facts

Lessons
114
Duration
16 hours 23 minutes
Level
All levels
Language
English
Updated
Instructor
Brad Traversy
Price
Premium

Learn a clear way to build software with AI. You will stop guessing what to ask the model and start using a repeatable workflow that you can trust. You stay in control of your app, and AI helps you move faster with clear steps.

What You Learn

You learn the core ideas of working with AI: prompts, quick drafts, and context. You also learn how to use Claude Code, commands, skills, and subagents in real work. The course shows how to use MCP servers like Neon, Context7, and Playwright to solve clear tasks.

The goal is simple. You learn how to use these tools as one steady process that you can reuse for any project.

Project You Build

You build a full SaaS app from scratch called DevStash. It is a place where you save code, prompts, commands, files, and other notes. The app has fuzzy search, saved items, pinned items, AI explain tools, AI create tools, Stripe support, and more.

Your Path

You move from idea to draft to a working app. By the end, you know how to shape an AI workflow that fits real product work.

Additional

https://github.com/bradtraversy/coding-with-ai-course-resources

Who teaches Coding With AI 2026? Brad Traversy

Brad Traversy thumbnail

Brad Traversy is a US developer behind Traversy Media — one of the largest independent web-development YouTube channels, with millions of subscribers and one of the most-viewed introductory tutorial libraries on the platform. He has been publishing daily-or-near-daily web development content continuously for nearly a decade and has anchored a generation of self-taught developers' first exposure to HTML, CSS, JavaScript, and the modern framework landscape.

The course catalog (sold via Udemy and the standalone Traversy platform) covers the full web-development stack: HTML and CSS fundamentals, JavaScript, React (including Next.js), Vue, Node.js, Express, MongoDB, full-stack MERN applications, Tailwind CSS, modern CSS layout, and the surrounding tooling. Brad's teaching style is calm, patient, and deliberately accessible to absolute beginners.

The CourseFlix listing under this source carries over 17 Brad Traversy courses spanning that range. Material is paid and aimed primarily at self-taught developers building real proficiency with web development from a clean start.

What lessons are included in Coding With AI 2026?

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 114 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Welcome To The Course
All Course Lessons (114)
#Lesson TitleDurationAccess
1
Welcome To The Course Demo
04:03
2
How To Take This Course
03:50
3
Main Project Overview
11:20
4
Course Resource Files
07:30
5
What Is AI?
06:59
6
Levels Of AI Assistamce
07:29
7
Intro To Prototyping
02:55
8
Writing Good Prompts
05:20
9
Prompt Assignment
06:37
10
Prototyping In Action
09:11
11
Quick Prototype Code Review
07:13
12
Iterating On The Prompt
05:11
13
Reality Check - Prototype vs Production
04:59
14
Claude Code Intstall & Basic Usage (Python Example)
09:30
15
Plan Mode
06:05
16
Slash Commands, Config & Settings File
09:33
17
Intro To Context & Tokens
07:01
18
Context-Related Slash Commands
08:15
19
Update: Memory File
03:28
20
Planning A Project
12:32
21
Bootstrap Your Files Manually
07:51
22
CLAUDE.md & Project Context
12:06
23
Coding Standards & Interaction Rules
07:29
24
AI Workflow & Current Feature File
07:09
25
Using Git With AI
06:13
26
Dashboard UI Prototype
11:31
27
Claude VS Code Extension
03:40
28
Generating Mock Data
04:47
29
Dashboard UI Phase 1 & Spec Files
15:30
30
Dashboard UI Phase 2 - Sidebar
10:05
31
Dashboard UI Phase 3 - Main Area
10:39
32
Neon PostgreSQL Database Setup
03:09
33
Prisma 7 Setup
14:08
34
Initial Database Migration
08:58
35
Seed Sample Data
09:56
36
Populate Dashboard Collections
08:23
37
Populate Dashboard Items
09:19
38
Populate Stats & Sidebar
13:55
39
Migration Workflow Overview
04:56
40
Inititial Deployment & Prod Migration
07:29
41
Skills & Custom Commands Explained
10:32
42
Feature Command/Skill Actions
03:38
43
Create The Feature Command/Skill
08:43
44
Use The Feature Command
08:42
45
Cleanup Command
06:20
46
What Are Subagents?
06:21
47
Create The Code Scanner Subagent
05:07
48
Using The Code Scanner
16:58
49
What Is MCP?
06:16
50
Neon MCP Setup
06:51
51
Context7 MCP Setup
04:33
52
Playwright MCP Setup
03:07
53
Next Auth - Phase 1
12:28
54
Next Auth Phase 2
09:06
55
Next Auth Phase 3
14:52
56
Production GItHub Keys
05:05
57
Email Verification With Resend
14:14
58
Email Verification Flag
07:56
59
Forgot Password Link
08:44
60
User Profile Page
07:00
61
Auth Code Audit Agent
12:27
62
Upstash Redis Setup
03:05
63
Rate Limiting
06:27
64
Bugfix - GitHub Redirect Fix
08:49
65
Research Skill For Documentation
10:53
66
Item Listing View
08:32
67
Integrate Unit Testing
10:56
68
Item Drawer Details
15:13
69
Item Drawer Edit Mode
12:02
70
Delete Item
10:11
71
Create New Item
08:39
72
Playwright MCP Crud Test
03:58
73
Monaco Code Editor Integration
10:51
74
Markdown Editor Integration
12:48
75
Cloudflare R2 Bucket Setup
05:18
76
File & Image Upload
16:54
77
Image Galllery Display
06:07
78
File Display
05:39
79
Quick Copy & Code Audit
17:36
80
Create Collections
08:47
81
Add Item To Collection
09:51
82
Collection Pages
10:36
83
Edit & Delete Collections
10:26
84
Search Command Palette
10:38
85
Pagination For Items & Collections
09:48
86
Move Account Actions To Settings
09:25
87
Editor Settings
11:58
88
Favorites Page
10:54
89
Favorite Toggle & Sort
09:26
90
Pinned Items
06:15
91
Homepage Mockup (HTML/CSS/JS)
15:26
92
Implement Homepage
09:32
93
Fix Top Bar On Mobile
04:25
94
UI Review Agent
09:18
95
Small UI Update
03:46
96
Stripe Sandbox Setup
05:53
97
Stripe Integration Plan
09:43
98
Stripe Implementation Phase 1
06:19
99
Stripe Implementaion Phase 2
07:06
100
Feature Gate Testing
06:56
101
Webhooks & Local Stripe Testing
09:56
102
Production Stripe Testing
09:49
103
Upgrade Page & Clean Up
11:36
104
Open AI Key & AI Integration Plan
10:06
105
Language Dropdown Select
03:46
106
Open AI Integration & Auto Tagging
15:17
107
AI Description Generation
09:10
108
AI Explain Feature
07:55
109
Prompt Optimize Feature
08:27
110
Quick UI Review
07:57
111
Refactor Scanner Agent
13:50
112
Connect A Domain
09:59
113
Connect Domain To Resend
07:20
114
Wrap Up
02:54
Unlock unlimited learning

Get instant access to all 113 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

What courses are similar to Coding With AI 2026?

  • Systems Thinking in the AI Era, Course 1 thumbnailNew

    Systems Thinking in the AI Era, Course 1

    By: Kay Ashaolu
    Study the universal principles of system design for AI applications and platforms. Apply the knowledge to develop complex digital systems and manage them.
    4h 22m
  • Build a DeepSeek Model (From Scratch) thumbnailUpdated 1mo ago

    Build a DeepSeek Model (From Scratch)

    By: Rajat Dandekar, Naman Dwivedi, Dr. Sreedath Pana
    Learn how to build a DeepSeek model from scratch. A practical guide with a focus on engineering and algorithmic solutions for efficient model performance.
  • Building faster.dev thumbnailNew

    Building faster.dev

    By: Aaron Francis
    Master the development of the AI-native platform faster.dev using modern technologies, including Laravel and React, to create efficient SaaS products.
    22m
  • Building Solo thumbnailNew

    Building Solo

    By: Aaron Francis
    Explore the creation of the SOLO application: manage development in one place. A unified interface for npm, composer, and servers, with support for multiple pro
    2h 3m
  • n8n for AI Workflows and AI Agents thumbnailNew

    n8n for AI Workflows and AI Agents

    By: Academind Pro (Maximilian Schwarzmüller)
    Learn how to create robust automations with n8n and AI. This includes AI agents, email processing, content generation, and image generation.
  • Building Loadout thumbnailNew

    Building Loadout

    By: Aaron Francis
    Take the course and create a desktop application called Loadout to manage AI tools using modern technologies such as Rust and React.
    11m

More courses by Brad Traversy

Frequently asked questions

What prerequisites are needed before enrolling in this course?
This course does not list specific prerequisites, but familiarity with basic programming concepts and tools like Git would be beneficial. The course starts with fundamental AI concepts and gradually introduces more complex tools like Claude Code and MCP servers. Understanding these basics could help you follow the course more effectively.
What will I build during the course?
You will build a full SaaS app called DevStash. This app is designed to save and manage code, prompts, commands, files, and notes. It features capabilities such as fuzzy search, pinned and saved items, AI explanation and creation tools, and Stripe support for payments. By the end, you will have a fully functioning application that integrates various AI and web technologies.
Who is the target audience for this course?
The course is aimed at developers interested in integrating AI into their software projects. It is suitable for those looking to harness AI tools like Claude Code and MCP servers to streamline their development workflow. Whether you are a beginner or have some experience in software development, this course offers practical steps to incorporate AI effectively.
How does this course differ from other AI coding courses?
This course emphasizes a repeatable workflow that integrates AI tools into software development. Unlike other courses that may focus solely on theory or tool usage, this course guides you through building a practical SaaS application. It combines concepts like prompts and context with real-world applications using Claude Code and MCP servers, ensuring you can apply what you learn directly to projects.
What specific tools and platforms will I learn to use?
The course covers several specific tools and platforms, including Claude Code for AI assistance, and MCP servers like Neon, Context7, and Playwright for project management and deployment. Additionally, you will use tools like Prisma for database management and Stripe for integrating payment systems into your app.
What is not covered in this course?
The course does not cover advanced AI concepts or in-depth machine learning techniques. It focuses on integrating existing AI tools into software projects rather than developing new AI models from scratch. Additionally, it does not delve into topics like data science or statistical analysis.
How much time should I expect to commit to this course?
The course consists of 114 lessons, providing a comprehensive walkthrough from idea to a working application. The time commitment will depend on your pace, but given the depth and breadth of the content, you should be prepared to invest several weeks if you plan to complete all lessons and build the project in detail.