Where to start
Start section for beginners: key concepts, first steps, frequent errors and a safe route from idea to first result.
What is Vibcoding and who is it suitable for
We understand what Vibecode is, how development works through AI assistants and who is suitable for this approach: developers, designers, entrepreneurs and beginners without programming experience.
How to Develop with AI: Basic Workflow
We understand how the development with AI is arranged in practice. Step by step, we explain the work cycle: idea → prompt → code generation → start → fixes → depletion, as well as the role of the LLM, developer and runtime environment.
Minimum stack to start development with AI
Minimum stack for starting development with AI: what tools are really needed - AI-IDE, runtime, Git and a platform for deployment. A brief overview of the following steps.
Typical beginner illusions: “AI will do anything”
We analyze the typical mistakes of beginners when developing through AI. Why Bad Prompts Break Projects, What Chaotic Architecture Leads to, and Why Start Logging.
Frontend/backend/database – how to avoid confusion
Frontend, backend and database are different parts of the system, each with its own task. Confusing them is like mixing a kitchen, a living room and a pantry: objects are like the same, but the purpose is quite different
Generation of a large project at once - an architectural trap
When you ask AI to generate a large project at once, you get not a basis, but an illusion of readiness
What Humans Are Responsible for, Even If AI Writes Code
Even if the code is written entirely by AI, humans are always responsible for meaning, decisions, and consequences. Code can be generated, but responsibility is not
Lack of logs, tests and checks is the main mistake of the beginner
When there are no logs, tests and checks in the project, it seems that you have made your life easier
Why Starting with a Pet Project is a Mistake
Pet project seems a safe start, but most often it interferes with learning the main thing
How much time does AI really save
AI saves a lot of time at the start and hardly saves it where there is no understanding
What it means to think architecturally, even without experience
Thinking architecturally is not about knowing terms or patterns. It's about seeing how the parts of the system are connected, why they're needed, and what happens if things change
Vaibcoding on freelancing: which orders to take, and which to bypass
Wybecoding opens freelancing even without experience in programming - but not all orders are equally real. We understand what AI can do well, where it merges, and how not to take a project that will drown you.