The term "vibe coding" has sparked heated debates in developer circles, with opinions ranging from "AI will replace all engineers" to "this is complete nonsense". Both camps are missing the point entirely.

What Is Vibe Coding, Actually?

Vibe coding exists on a spectrum of how much you engage with the code you produce. At its core, it is when you generate code, typically through AI assistance, that you do not intend to read thoroughly. You might copy-paste error messages back into your AI tool rather than manually debug them. You trust the output works without inspecting every line.

This is not about replacing engineers. It is about replacing unnecessary engineering effort.

The Harsh Truth: You Still Need to Know How Code Works

If you cannot read and understand code, vibe coding will not save you. The tools are not magic wands that eliminate the need for programming knowledge. They are productivity multipliers for people who already possess that knowledge.

Think of it this way: advanced farming equipment did not make everyone a farmer. It made fewer, more skilled farmers capable of feeding vastly more people. The same principle applies here.

Vibe Code Is Legacy Code

Here is the uncomfortable reality: vibe code is legacy code from day one. It is code that nobody, including you, truly understands. The difference is that for throwaway projects, prototypes, and one-off scripts, this does not matter.

Most code we write is disposable anyway. For every line that reaches production, countless more are written and deleted, used once in a terminal, or serve only to validate an approach before being tossed entirely.

When Vibe Coding Works Brilliantly

Vibe coding excels when you need solutions to problems that are:

• Not worth the time investment to code properly

• Throwaway or temporary in nature

• Standard boilerplate that you would normally copy from Stack Overflow anyway

Real examples:

• A quick SVG-to-PNG converter for your workflow (15 minutes of vibe coding versus hours of manual conversion)

• Scripts to analyse data structures in uploaded files

• UI prototypes to test concepts before committing to proper implementation

• Image formatting tools for social media

These are problems where the solution has value, but writing and maintaining traditional code does not justify the effort required.

The Critical Distinction: Above and Below the Bar

The real spectrum is not "good developer" versus "bad developer". It is how much you read and understand the code you produce.

Above the bar: You read the code. You use autocomplete. You review AI suggestions. You maintain understanding.

Below the bar: You prompt, copy output, and move on. This is vibe coding territory.

Both have their place. The mistake is using the wrong approach for the wrong problem.

When Vibe Coding Falls Apart

Non-programmers spending thousands building their startups through pure-vibe coding are accumulating technical debt faster than the AI can generate code. It is like giving a child a credit card without explaining debt, thrilling at first, devastating when the bill arrives.

If you cannot read the code, your only option when things break is to ask AI to fix it. This is paying off one credit card with another. You are trapped.

The Middle Path: Intelligent Use

Use vibe coding for:

• Prototypes and experiments

• Personal tools and utilities

• Legacy code you need to interact with but not maintain

• Problems where the solution is more valuable than the code quality

Do not use vibe coding for:

• Production systems you will maintain

• Core business logic

• Anything where you cannot afford to rewrite from scratch if needed

• Learning new concepts or frameworks

Package Dependencies Versus Vibe Coding

Here is an interesting parallel: developers criticise both excessive package installations (remember LeftPad?) and vibe coding. Yet vibe coding actually solves many dependency problems. You generate the code you need, own it completely, and can modify it trivially compared to patching third-party packages.

You cannot be angry about both. Choose your consistency.

If the Tool Is Better Than You, Stop Using It

Critical point: if you need AI to solve problems you cannot solve yourself, turn it off. These tools should be better than you, but more of you, multiplying your existing capability rather than substituting for skills you lack.

When working with unfamiliar frameworks or patterns, close the agent. Copy code to a chat interface and ask questions. Learn properly. The temptation to delegate understanding is strong, but resisting it is essential.

The Reality of Modern Development

There is code worth having that is not worth writing the traditional way. Developers who refuse to acknowledge this limit are unnecessarily limiting themselves. Every developer has small annoyances they could solve in 15 minutes with vibe coding, but never address because the traditional approach would take hours.

That is productivity left on the table.

The Bottom Line

Vibe coding is not a replacement for engineering. It is a tool for experienced developers to solve problems they understand but do not want to implement manually. It generates legacy code, intentionally code you write once and forget exists, which is perfectly acceptable for the right use cases.

The extremes are both wrong. AI will not make everyone a coder, and AI tools are not useless gimmicks. The value lies in the nuanced middle: using AI to generate code efficiently for problems where reading every line provides minimal benefit.

Understand the tradeoffs. Know when to vibe and when to dig deep. Most importantly, never stop learning how code actually works. That knowledge remains irreplaceable, regardless of how good the tools become.