Vibe Coding Is Real. Here Is What It Means for Your Career
Alex Morgan
17 followers
The first time I built something useful without writing a line of code, I sat there genuinely unsure whether to feel excited or slightly panicked. Both, it turns out. Two years on, here is what I have actually seen.
What "vibe coding" means now
You describe an app in normal language. An AI writes the code, you describe what went wrong, it fixes it, you describe what is still wrong, it fixes that. For a few hours you are a product owner instead of an engineer.
This was not true even two years ago. The difference is not the model being cleverer. It is the loop getting short enough to stay inside.
What it actually changed
| Before | Now |
|---|---|
| A working prototype took weeks | A working prototype takes an afternoon |
| You needed someone technical on the team | One motivated person can test an idea alone |
| Knowing syntax was the job | Knowing what to ask for is the job |
The scarce skill moved. Typing code was never the valuable part. Deciding what to build, what "done" means, and how to tell that something is quietly wrong — that is the valuable part, and it got more valuable.
What did not change at all
- Someone has to know what they want. A vague idea plus AI equals a beautiful useless thing, faster.
- Debugging is still debugging. The code is easier to produce and just as easy to get wrong. If you cannot read it, you cannot fix it, and you certainly cannot tell whether it quietly does something you did not want.
- Trust, security, payments and data still need a human. Deploy something that handles money and the standard is "professional engineer reviewed this", not "the preview looked fine".
- Knowing how code works is what makes the AI useful. People who understand systems get better results. People who do not get plausible nonsense with confidence.
The honest career risk
The entry-level test task is genuinely disappearing. Teams need less glue now. That is real and I am not going to soften it.
But the work moved up the value chain: more people will be expected to be able to build, so the bar rises for what "building" means. A person who can use AI to ship real software and understand what it produced is worth a lot. A person who can prompt carefully and otherwise cannot reason about the result is on a shorter clock than they think.
Where to start, this month
- Build something with no stakes — a tracker for your own habits, a script for a chore you hate. Not a startup.
- Read everything it writes. Not to learn syntax. To learn what bad code looks like so you can catch it.
- Break it on purpose. Delete a file, break an assumption, see if you can find the problem. This is the actual skill.
- Ship it somewhere public. A URL is a different level of real from a file on your laptop, and it teaches you the parts AI cannot guess for you.
- Learn the boring fundamentals anyway. Data, security, version control. AI writes the code. You are still the one accountable for it.
The part I would tell a 22-year-old
The best developer I have worked with in the last year writes code almost entirely through AI. She is not a worse engineer than I am. She is simply closer to where the work is going, and she got there a year early.
Stop trying to compete with the machine at producing code. It will win that permanently. Learn to direct it, review it, and take responsibility for it. That job is not going anywhere.
