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11 Feb 2026 2 min read 3,010 views
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Vibe Coding with AI: How to Build Real Projects Using Only Prompts

Vibe coding went from a joke to a real workflow used by thousands of developers. Here is the honest guide — how it actually works, when it breaks down, and the skills you still need.

Tushar Modi.
Tushar Modi.
February 11, 2026 · Jaipur, India
2 min 3,010
Category AI Tools
Published Feb 11, 2026
Read 2 min
Views 3,010
Updated Jun 6, 2026
Vibe Coding with AI: How to Build Real Projects Using Only Prompts

What Is Vibe Coding?

Andrej Karpathy coined the term "vibe coding" to describe a new mode of programming where you describe what you want in natural language, accept the AI's code largely without reading it, and iterate based on whether the output works. It is a real phenomenon, and it is genuinely useful — but it requires the right mental model to avoid disaster.

Vibe coding is not "AI writes code and you do nothing". It is "AI writes 80% of the code and you direct, review, and correct the remaining 20% that matters". The skill shifts from typing code to having taste about what good code looks like.

The Effective Vibe Coding Workflow

01
Write a detailed spec first
Before touching any AI tool, write a plain English description of what you are building — its purpose, constraints, and data model. The more specific your spec, the better the AI's first attempt will be.
02
Set the foundation manually
Create the project, set up the framework, define the database schema. Having a real starting point gives the AI concrete context to build on instead of guessing your architecture.
03
Prompt in small, testable increments
Ask for one feature at a time. "Add user authentication with email verification" works. "Build the entire app" produces a mess you cannot debug or understand.
04
Test obsessively
After every AI change, run the app. AI-generated code can introduce subtle bugs that accumulate silently. The longer between testing, the harder the debugging session when things break.

Where Vibe Coding Breaks Down

Security is the biggest blind spot. AI-generated code is often syntactically correct but contains classic vulnerabilities — missing authorization checks, SQL injection through raw queries, XSS through unescaped output. If you are building anything that handles user data or money, you must read the security-sensitive code yourself.

The second failure mode is architecture rot. AI will happily write inconsistent code that does not follow the patterns you established earlier. Without human oversight, a vibe-coded codebase becomes unmaintainable in weeks.

The Skills That Still Matter

Reading code is more important than ever — even if you are not writing it yourself. Understanding what a function does, spotting a missing auth check, recognizing a N+1 query — these are skills no amount of prompting replaces. Vibe coding accelerates developers who have fundamentals. It produces broken, insecure messes for those who do not.