CF

Agentic Jumpstart. Don’t Write Code. Direct It.

11h 58m 41s
English
Paid

Stop typing code character by character. Master Cursor, Claude, and agent workflows to create production-ready applications 10 times faster. Become a system architect, not just an executor.

Coding is Changing: Embrace Agent Programming

The era of manually writing code is fading away. Development using AI is not a temporary trend but a new state of the industry. Traditional developers spend hours debugging and writing boilerplate code, whereas agent developers leverage powerful AI models — Opus 4.5, Composer1, and GPT-5.1 Codex — to assemble complex applications in minutes rather than days.

Revolutionize Development Speed

10x Faster Development

Create entire applications in the time it used to take to build a single component. AI agents handle implementation, allowing you to focus on architecture, logic, and business value.

Adopt AI-First Thinking

Learn to think in systems and agents. Guide AI to solve complex tasks while maintaining full control over architecture, code quality, and scalability.

Accelerate Deployment

Launch production-ready products in days, not months. Let AI handle the routine, freeing you to focus on innovation and user value creation.

Companies are already adopting agent-based programming. Mastering these approaches today positions developers to lead teams in the AI revolution of tomorrow.

Master Modern AI Development Tools and Approaches

  • Cursor IDE and Cursor Agent
  • Claude Code CLI and Claude API
  • Opus 4.5, Composer1, GPT-5.1 Codex
  • AI Pair Programming
  • Agentic Development and Multi-Agent Systems
  • LLM Coding and Code Generation
  • Prompt Engineering
  • AI Workflow Automation
  • AI-First Development
  • Windsurf IDE
  • AI Programming Patterns
  • MCP Servers

This course offers one of the most comprehensive guides on agent-based programming. It's suitable for developers looking to work faster, design innovative systems, and maintain a competitive edge in the evolving landscape of AI-assisted development.

The Proof Speaks for Itself

Agent-based programming is not just hype; it’s a proven part of our industry's future.

  • GitHub Research: 26% increase in productivity during experiments with over 4,000 developers.
  • McKinsey Forecast: Development can become twice as fast without sacrificing code quality.
  • 2024 Developer Survey: 76% of developers already use AI tools, and 81% report measurable efficiency gains.
  • Amazon Research: Tasks completed 57% faster using AI.
  • Corporate Cases: 40% productivity gain among 2,000 developers at Palo Alto Networks.
  • Scale of Claude by Anthropic: 115,000 developers and 195 million lines of code per week.

Agent-based programming is already in motion. The only question is whether you'll be among those leading this transformative approach.

About the Author: WebDevCody

WebDevCody thumbnail

WebDevCody is the YouTube and paid-course brand of Cody Seibert, a US developer focused on practical full-stack tutorials covering Next.js, React, and the surrounding modern web stack. The channel is known for end-to-end project builds rather than isolated framework tours.

His CourseFlix listing carries two WebDevCody courses on the modern Next.js / full-stack JavaScript stack. Material is paid and aimed at intermediate JavaScript developers building real applications.

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#1: 1.1 Welcome
All Course Lessons (73)
#Lesson TitleDurationAccess
1
1.1 Welcome Demo
03:36
2
1.2 Intended Audience
02:27
3
1.3 What is Agentic Coding
08:05
4
1.4 Your First CLI Tool
12:09
5
1.5 The Context Window
13:11
6
1.6 Models
05:44
7
1.7 Diagrams
04:45
8
1.8 Iterative Prompting
12:58
9
1.9 Designs
08:43
10
1.10 Plan it Out
17:06
11
1.11 Prompting Secrets
09:21
12
1.12 Image Annotations
06:44
13
1.13 Code Analysis
07:26
14
1.14 Code Reviewers
04:48
15
1.15 Debugging Tips
11:49
16
1.16 Monitor your Costs
02:46
17
1.17 Spec Driven Development
07:59
18
1.18 MCP & LLMs txt
05:48
19
1.19 Concurrent Agents
06:19
20
1.20 Background Agents
04:45
21
1.21 Agentic Mindset
04:53
22
1.22 Multi Projecting
03:12
23
1.23 AI in Terminal
03:59
24
1.24 Giving AI Eyes
06:11
25
1.25 Feeling Overwhelmed
04:33
26
2.1 Setup
04:57
27
2.2 Tab Complete
11:30
28
2.3 Composer
16:04
29
2.4 Cursor Agent
07:57
30
2.5 Chat Panel
07:44
31
2.6 Model & Modes
08:40
32
2.7 Background Agents
14:36
33
2.8 Bug Bot
03:23
34
2.9 Rules
12:02
35
2.10 Quick Edit
03:17
36
2.11 MCP
04:16
37
2.12 Memories
01:32
38
2.13 Docs
01:52
39
3.1 Setup
07:25
40
3.2 Init
03:21
41
3.3 Status Line
02:00
42
3.4 Plan Mode
14:41
43
3.5 Resume
04:06
44
3.6 Think Harder
11:00
45
3.7 MCP
03:48
46
3.8 Agents
07:50
47
3.9 Hooks
07:30
48
3.10 Commands
02:29
49
3.11 Rewind
03:09
50
3.12 Github Actions
04:04
51
3.13 Headless
03:48
52
3.14 Claude Skills
10:58
53
3.15 Plugins
04:49
54
3.16 Context
05:23
55
3.17 Concurrent Agents
07:37
56
3.18 Structured Prompts
04:45
57
4.1 Introduction
04:30
58
4.2 Planning
08:07
59
4.3 Landing Page
15:33
60
4.4 Community Posts
30:10
61
4.5 Edit Posts
19:02
62
4.6 Upload Media
33:17
63
4.7 Refactoring
18:58
64
4.8 Events
32:30
65
4.9 Notifications
19:34
66
4.10 Messages
25:06
67
4.11 Polish
32:20
68
4.12 Deploying
20:35
69
5.1 Adding Weapons to Game
16:32
70
5.2 Gemini 3 Pro Testing
14:24
71
5.3 Opus 4.5
18:22
72
5.4 Gemini 3 Prompting
14:55
73
5.5 Redesigning Tips
08:56
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Frequently asked questions

What are the prerequisites for this course?
This course does not require traditional coding skills, but a basic understanding of programming concepts is beneficial. Lessons like 'Intended Audience' and 'Setup' are designed to align expectations and prepare you for learning agent-based programming using AI models such as Opus 4.5 and GPT-5.1 Codex.
What will I build during this course?
You will learn to create entire applications, not just individual components, by leveraging AI agents like Cursor IDE, Cursor Agent, and Claude Code CLI. The course emphasizes production-ready application development, as outlined in lessons such as 'Your First CLI Tool', 'Multi Projecting', and 'Community Posts'.
Who is the target audience for this course?
The course is aimed at developers looking to transition from traditional coding to AI-driven agent programming. It is ideal for those interested in becoming system architects who guide AI tools to achieve development tasks and maintain control over architecture and scalability, as detailed in 'Adopt AI-First Thinking'.
How does this course differ from traditional coding courses?
Unlike traditional courses that focus on manual code writing, this course emphasizes using AI models like Composer1 and GPT-5.1 Codex for rapid application assembly. Lessons like 'Iterative Prompting' and 'Agentic Mindset' guide you to think in systems and agents, reducing time spent on boilerplate code and debugging.
What tools and platforms are covered in the course?
The course covers tools and platforms such as Cursor IDE, Claude Code CLI, Opus 4.5, Composer1, and GPT-5.1 Codex. You'll learn to use these tools to direct AI agents in application development, as explored in lessons like 'Cursor Agent', 'Model & Modes', and 'Claude Skills'.
What topics are not covered in this course?
The course does not cover traditional coding skills or languages like JavaScript or Python in detail. Instead, the focus is on AI-driven development using agent-based programming. Courses focusing on manual coding practices would be more suitable for those seeking traditional coding knowledge.
What is the time commitment for this course?
The course consists of 73 lessons, each designed to be concise to maximize learning efficiency. While the total runtime is not specified, expect to commit several weeks to complete the coursework, particularly if you engage deeply with exercises on AI agents and deployment strategies.