
Real-World AI Coding ("Dibe Coding")
Learn the practical, tool-agnostic workflow for using any AI coding tool — Copilot, Claude Code, Cursor, Codex, and more
What you'll learn
Requirements
- No prior experience with AI coding is required. Basic programming knowledge is helpful but not mandatory. Curiosity and a willingness to experiment with AI tools are all you need.
About this course
Make AI Coding Predictable, Reliable, and Genuinely Productive
AI tools can dramatically accelerate software development — but only if you use them in the right way.
Most AI coding tutorials show magical demos: an app generated from one prompt, or a tool that seems to “just work.”
In real engineering work, these examples rarely hold up.
Projects are complex. Requirements shift. Codebases carry deep, implicit knowledge.
If you rely on trial-and-error prompting, output becomes inconsistent, unpredictable, and hard to trust.
This training fixes that.
It is practical and applied: you’ll learn a step-by-step workflow you can immediately use in real codebases and real tasks — not theory, not hype, not academic abstractions.
You’ll learn how to collaborate effectively with any AI coding tool — Copilot, Claude Code, Cursor, Cline, Windsurf, Theia IDE, and others — using a tool-agnostic workflow built for professional software development.
This structured approach is called the Dibe Coding methodology:
a practical, repeatable process for getting consistent, high-quality results from AI.
Built on real projects. Refined with enterprise engineering teams. Proven to work.
What participants are saying:
“A didactic masterpiece.”
— Dr. David Faragó, inventor of Vise-Coding
“Now I’m at around a 90 % success rate. AI coding went from a lottery to a predictable, high-value tool.”
— Senior Developer, Early-Access Participant
“It bridges the gap between experimentation and reliable practice — exactly what we needed to turn AI from hype into day-to-day productivity.”
— Engineering Manager, Enterprise Tools Group
What You’ll Be Able to Do After This Course
- Use AI coding with intention and structure, not guesswork
- Decide when and how AI should help
- Provide the right context for accurate results
- Break down tasks into AI-friendly steps
- Apply a repeatable workflow for reliable output
- Review and refine AI results quickly
- Integrate AI into existing, complex codebases
- Use any AI coding tool more effectively and confidently
- Everything taught is practical, tool-agnostic, and ready to apply immediately.
What You Get
- Step-by-step video lessons with live demos
- Real-world examples from complex codebases
- Tool-agnostic approach — works with any AI coding tool
- Lifetime access including all future updates
Why This Training Is Different
Most AI courses:
focus on a single tool,
rely on unrealistic “one-prompt magic,”
and ignore the complexity of professional development.
This course is different because it:
- Is practical and hands-on
- Uses real-world coding scenarios
- Was refined with professional engineering teams
- Focuses on workflow, not fragile tricks
- Works with all AI coding tools, now and in the future
The goal is simple:
Make AI coding predictable, controlled, and genuinely productive in real software projects.
What’s Included
- Step-by-step video lessons with real coding demos
- A complete workflow you can use immediately
- Examples from real, complex codebases
- A fully tool-agnostic approach
- Additional sections for tool-specific knowledge
- Lifetime access, including all future updates
Who This Course Is For
Ideal for:
- Developers who want consistent results from AI
- Engineers working in real-world codebases
- Tech leads adopting AI tools on their teams
- Anyone looking for a practical, professional approach to AI-assisted development
Level Up Your Skills
Take the next step toward becoming an AI-native professional software developer — one who doesn’t depend on specific tools, but on a deep understanding of how to adopt AI efficiently and collaborate with it effectively.
Start mastering AI coding today!
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Udemy Course Reviews
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