If you’re still Vibe Coding, you’re falling behind
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Mastering the Three Levels of AI Coding for Production Software
Gain an unfair advantage by learning the structured methodology behind using AI agents—moving beyond simple scripting to building serious, scalable software applications.
Short Summary
- Understand the shift from defining software via code (1.0) to defining it via prompts (3.0).
- Avoid the common "VIP coding" pitfall of accumulating unmanageable technical debt.
- Learn the three progressive levels of utilizing AI coding tools, culminating in true human-driven upskilling.
- Realize the massive financial opportunity as AI agents expand software's market reach into traditional labor sectors.
This guide outlines the necessary framework for leveraging AI coding tools effectively in 2025 and beyond. It separates novice, blind usage from professional, strategic application, detailing concrete tools like Cursor and advanced concepts like autonomous coding agents. Mastering these methods lets you build production-ready applications while simultaneously accelerating your own learning curve.
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Top Comments (10)
I kinda disagree when you said that i you shouldn’t learn the syntax of a programing language, you definitely should learn it but no in a way that you have to memorize it all the syntax, but rather you have to learn the concepts behind a programing language and learn algorithm design. In that way you can code with ai the code that gives you can be an actual good code
Hello, David! As a software engineer, I want to congratulate you on the most realistic video on AI coding I have watched! I completely agree with you! You are the first person who doesn't say you can build any application without knowledge. This is the right approach AI is a great tool that you can use to create applications while learning Software Engineering. I would only add that you must have fundamental knowledge of programming and the language being used. This is important because AI still makes syntactic errors and duplicates code when it gets confused, and that's why you need to be able to correct it. After that, as you demonstrated, you can ask the AI how the rest is done and learn it.Excellent video! Keep up the great work!
You are missing something crucial: Software will get extremely cheap when it's easy to make. So you can't look at today's evaluation, for example, if everyone can make a fitness app with a push of a button, that industry will be economically dead at the same time. Those numbers are based on human coding, not artificial intelligence.
dude says not to "vibe code" and proceeds to "vibe code"
So, I was thinking that I'm vibe coding, but actually I have been AI coding and delivered one for the customer already.
I used to be a junior developer early in my career back in the early 2000’’s man it’s was hard and I enjoyed coding as passion but I moved away to consulting and networking infrastructure solutions. But now with Ai coding I can see myself coming back in a big way.
Using AI to upscale your own skills is an excellent point. I like to copy proven code and commands into a personal knowledgebase I can search later much faster than asking AI about it again. The toughest problem is keeping AI on track even when there's plenty of gas left in the context window. I use a spec driven system, lint rules, but AI coding assistants seem to only think in a single dimension. AI can't think using multiple levels of indirection such as consolidating code into reusable library functions in big projects. It wants to pile on the technical debt by hardcoding values, use absolute paths, big sections of redundant code, etc. Most likely because all it can do is predict the next token and has a limited context window. The bloat makes it worse by filling up the context window. Are there any AI coding assistants out there that can break through the first dimension?
💼 Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4
!! Thank you for sharing David this cursor application is amazing
Thank you brother....keep up with the hardwork
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Top Comments (10)
I kinda disagree when you said that i you shouldn’t learn the syntax of a programing language, you definitely should learn it but no in a way that you have to memorize it all the syntax, but rather you have to learn the concepts behind a programing language and learn algorithm design. In that way you can code with ai the code that gives you can be an actual good code
Hello, David! As a software engineer, I want to congratulate you on the most realistic video on AI coding I have watched! I completely agree with you! You are the first person who doesn't say you can build any application without knowledge. This is the right approach AI is a great tool that you can use to create applications while learning Software Engineering. I would only add that you must have fundamental knowledge of programming and the language being used. This is important because AI still makes syntactic errors and duplicates code when it gets confused, and that's why you need to be able to correct it. After that, as you demonstrated, you can ask the AI how the rest is done and learn it.Excellent video! Keep up the great work!
You are missing something crucial: Software will get extremely cheap when it's easy to make. So you can't look at today's evaluation, for example, if everyone can make a fitness app with a push of a button, that industry will be economically dead at the same time. Those numbers are based on human coding, not artificial intelligence.
dude says not to "vibe code" and proceeds to "vibe code"
So, I was thinking that I'm vibe coding, but actually I have been AI coding and delivered one for the customer already.
I used to be a junior developer early in my career back in the early 2000’’s man it’s was hard and I enjoyed coding as passion but I moved away to consulting and networking infrastructure solutions. But now with Ai coding I can see myself coming back in a big way.
Using AI to upscale your own skills is an excellent point. I like to copy proven code and commands into a personal knowledgebase I can search later much faster than asking AI about it again. The toughest problem is keeping AI on track even when there's plenty of gas left in the context window. I use a spec driven system, lint rules, but AI coding assistants seem to only think in a single dimension. AI can't think using multiple levels of indirection such as consolidating code into reusable library functions in big projects. It wants to pile on the technical debt by hardcoding values, use absolute paths, big sections of redundant code, etc. Most likely because all it can do is predict the next token and has a limited context window. The bloat makes it worse by filling up the context window. Are there any AI coding assistants out there that can break through the first dimension?
💼 Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4
!! Thank you for sharing David this cursor application is amazing
Thank you brother....keep up with the hardwork