Agentic Coding School: Master Claude Code & Ship Apps Faster by Ray Amjad

Learn Claude Code, AI coding agents, agentic development workflows, app building, debugging, and software automation with Agentic Coding School.

Software development is changing.

The best developers are no longer writing every line of code manually. They're learning how to direct AI agents that can design systems, generate code, debug issues, and accelerate development.

Agentic Coding School by Ray Amjad teaches developers, founders, freelancers, and builders how to leverage Claude Code and agentic workflows to dramatically increase software development speed while maintaining quality and control.

Instead of treating AI as a simple coding assistant, you'll learn how to use AI agents as junior developers capable of handling requirements analysis, architecture planning, implementation, debugging, and iteration.

The goal is to help students become AI-powered software builders, capable of shipping products faster than traditional development teams.

Key Benefits

✅ Learn how to use Claude Code effectively

✅ Build and manage AI coding agents

✅ Turn ideas into working applications faster

✅ Create scalable software architectures with AI assistance

✅ Debug and refactor code more efficiently

✅ Learn repeatable agentic development workflows

✅ Reduce development bottlenecks and repetitive work

✅ Ship MVPs and production-ready applications faster

What You'll Learn

Claude Code Mastery

Learn how to:

• Work effectively with Claude Code
• Structure high-quality prompts
• Create persistent development context
• Guide AI through complex coding tasks
• Improve AI-generated code quality

Agentic Development Workflows

Discover how to:

• Build AI-assisted development systems
• Delegate tasks to coding agents
• Coordinate multi-step software projects
• Manage development workflows
• Increase coding productivity

Requirements & Planning

Learn how AI can help with:

• Product specification creation
• Feature planning
• Requirement analysis
• User story generation
• Technical planning

Software Architecture

• System design principles
• Scalable architecture planning
• Application structure frameworks
• Technical decision-making
• Architecture documentation

Production-Ready Coding

• Code generation workflows
• Best-practice implementation
• Clean code principles
• Reusable component creation
• Software development standards

Debugging & Refactoring

Learn how to:

• Identify bugs faster
• Improve existing codebases
• Refactor applications efficiently
• Reduce technical debt
• Optimize software performance

Real-World Application Building

Students work through practical examples involving:

• MVP development
• SaaS applications
• Product launches
• Full-stack development workflows
• Software iteration and deployment

Systems Thinking for Developers

A major focus of the course is learning:

• Repeatable AI development systems
• Scalable workflows
• Project management through AI
• Long-term productivity frameworks
• Cross-project implementation strategies

Why Agentic Coding Matters

Traditional development:

❌ Write every line manually

❌ Limited by personal output

❌ Slower iteration cycles

❌ Repetitive development work

Agentic development:

✅ AI-assisted implementation

✅ Faster product shipping

✅ Improved productivity

✅ More focus on product strategy

✅ Higher development leverage

Who It's For

• Developers
• Software engineers
• Indie hackers
• SaaS founders
• Startup founders
• Freelancers
• Technical entrepreneurs
• Product builders