Vibe coding means building software by describing what you want to an AI and accepting the code without really reading it. It is great for prototypes and personal tools. On its own it will not get you a developer job, because employers pay for people who can understand, debug and take responsibility for code. Use it, but learn what is underneath.
What people tell me
I keep seeing people build complete apps in a weekend just by prompting AI tools, and some say they never learned to code properly. I have built a couple of things this way myself and they work. I am wondering whether I even need to learn programming in depth anymore, or whether being good at prompting is enough to get hired as a developer.
A composite of the messages behind this question, with personal details left out.
Key takeaways
- The term comes from Andrej Karpathy in February 2025: giving in to the AI and forgetting the code exists.
- It is excellent for prototypes, throwaway tools and exploring ideas quickly.
- Jobs need maintenance, debugging, security and teamwork, which vibe coding alone does not teach.
- Use AI heavily, but make sure you can read, explain and change every line you ship.
Where the term came from
Andrej Karpathy coined "vibe coding" in a post in February 2025. He described a way of working where you "fully give in to the vibes" and "forget that the code even exists": you describe what you want, accept whatever the AI produces, paste errors back in, and keep going until it seems to work. He framed it as fine for throwaway weekend projects. The phrase spread far beyond that, and now people use it for almost any AI-assisted building.
It helps to separate two things:
| Vibe coding | AI-assisted engineering | |
|---|---|---|
| Do you read the code? | Mostly no | Yes, all of it |
| When it breaks | Paste the error back and hope | Understand why, then fix or direct the fix |
| Good for | Prototypes, personal tools, trying ideas | Software other people depend on |
| What you learn | How to describe what you want | That, plus how software actually works |
What vibe coding is genuinely good for
I do not want to dismiss it. It is a real skill and a useful one:
- Testing whether an idea is worth building before you invest weeks.
- Making small tools for yourself: a script to rename files, a dashboard for your own data.
- Getting unstuck on unfamiliar territory quickly.
- Letting non-developers build things they could never have built before.
Why it will not get you a developer job on its own
Companies do not pay developers to produce code. Code is cheap now. They pay for someone who can be responsible for software over time. That means:
- Debugging a problem the AI cannot see because it depends on your data, your users or your infrastructure.
- Maintaining code months later, when requirements change and the original prompt is long gone.
- Security: noticing that the generated login flow stores passwords badly or exposes an admin route.
- Working in a team: code review, explaining decisions and changing someone else's code without breaking it.
- Judgement: knowing when the AI's suggestion is wrong, even though it looks confident.
In hiring, this shows up quickly. A portfolio of vibe-coded apps is easy to spot when someone asks, "Why did you structure it this way?" or "What happens if two users do this at once?" and the answer is silence.
How to use it and still become employable
- Build with AI, then read everything. Before you commit, make sure you can explain each file in your own words.
- Rebuild one piece by hand. Take a feature the AI wrote and implement it yourself from scratch. The gaps you find are your learning list.
- Break it on purpose. Remove a check, send bad input, simulate a slow database. Learn what fails and why.
- Learn the fundamentals underneath. One language properly, Git, HTTP, SQL, testing. The Programming foundations roadmap and Full stack roadmap cover these in order.
- Write about your decisions. A README that explains trade-offs is proof you were the engineer, not just the prompter.
Where it can help your career
There is a real upside. Someone who has fundamentals and uses AI well can build and ship much faster than before. That combination is attractive to employers and useful for freelancing and building your own products. Being quick with AI tools is a genuine advantage. It just needs to sit on top of understanding, not replace it.
If you are still stuck
Read I can build projects with AI, but I do not understand everything it generates. Am I actually learning? and Is it bad that I rely on ChatGPT or Cursor and cannot write code from scratch?. If you want someone to look at what you have built and tell you what to learn next, join Sefism and, as a member, book a 1:1 session.
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