Agentic Development vs Vibe Coding: What’s the Difference?

AI has made software development more accessible than it has ever been. That is a good thing, but it has also created a new problem. People with no engineering background can now describe an idea to an AI tool and, within hours, have something that looks and feels like working software.

That has given rise to what is commonly called vibe coding.

The problem is that software which appears to work is not necessarily software that has been engineered properly, and that distinction matters.

What is vibe coding?

When I hear the phrase vibe coding, I tend to fear the worst. In most cases, it means someone without an engineering background has used AI to build an application without giving enough consideration to architecture, security, performance, maintainability or the end user.

AI has effectively given everyone access to software development, access does not automatically mean understanding. The simplest analogy I can think of is cars. Everyone being given access to a car does not mean everyone knows how to drive one safely the same is now true of software.

AI can generate enormous amounts of code very quickly, but if the person directing it does not understand what good software looks like, they may not recognise when something is fundamentally wrong.

Why has vibe coding become so popular?

The barrier to entry is incredibly low. You have an idea. You open an AI tool. You describe what you want. You have a conversation about how it should work. Very quickly, out comes something that looks like a working product.

That is incredibly exciting!

For prototypes and early ideas, it can be genuinely useful. The danger comes when a working prototype is mistaken for a production-ready application.

The two are very different things.

"It works" is not enough

The biggest danger with vibe-coded software is security. Both the security of the business running the application and the security of the users trusting it with their data.

I have seen AI-built login systems storing passwords in plain text. I have seen APIs built without any rate limiting, leaving them open to brute-force attacks. I have seen two-factor authentication codes displayed directly in the user interface instead of being delivered securely to the user's device.

On the surface, all three systems could appear to work. The user could log in. The API sent a response. The two-factor authentication screen could show a code.

Technically, each one is fundamentally unsafe. That is the problem. If you do not know what you are looking for, you may never realise anything is wrong.

Vibe coding and agentic development are the not the thing

This is where I think the terminology matters. Agentic development is not simply another name for using AI to write code.

In many ways, it is the opposite of vibe coding. With agentic development, the AI is part of an engineering process led by someone who understands software. At Ainley Digital, we review agent-written code in much the same way we would review code produced by another developer.

We ask three basic questions:

1. Does it do what the brief says it should do?

2. Has it been implemented in a way that I, as an experienced engineer, agree with and would have implemented without agentic workers?

3. Does it pass our own internal testing?

The AI is allowed to move quickly. It is not allowed to make unchecked decisions about what goes into production.

Where AI is incredibly useful

One of the things AI agents are exceptionally good at is getting a project off the ground quickly. They can scaffold an application. They can build an initial interface. They can create a working concept much faster than a traditional development process.

That is so valuable because it changes the conversation with the client.

Instead of spending weeks discussing static designs or asking a client to imagine how something might work from a Figma screen, we can often put a working version in front of them extremely quickly. That makes feedback better. A client can click around. They can follow the workflow. They can tell us where something feels wrong. They can challenge assumptions while actually using the product rather than imagining how it might eventually behave. That is a major advantage of agentic development.

Where a senior engineer steps in

There are areas where we would never simply allow an agent to make the final call. If a feature is business-critical, we get involved directly. If business continuity could be affected, we get involved directly. If the workflow is complex, poorly documented or contains ambiguity, we get involved directly.

The same applies where security, architecture or future development could be affected by the decisions being made.

AI is incredibly good at implementation. Good engineering often comes down to recognising the consequences of a decision before those consequences become a problem.

That is where experience matters.

Can vibe coding ever be useful?

Yes.

As a proof of concept, I think vibe coding absolutely has a place. If you want to test whether an idea has merit, explore a workflow or demonstrate something internally, the speed AI offers can be extremely useful.

I would draw a very clear line at production. A vibe-coded application should never be put in front of real users handling real data without proper engineering review.

A proof of concept is disposable by nature.

A production application is not.

The minute users, customer data, payments or business-critical processes are involved, the standard has to change.

The real problems often appear six months later

One of the biggest misconceptions with badly engineered software is that the problems will be obvious immediately. Often, they are not. The application launches, it works, people use it, everything appears fine.

Then six months later, the business wants another feature. That is when the real cost begins to appear. Poorly structured software tends to become a spiderweb. Dependencies are outdated. The architecture was designed only for the original feature. Nothing was built with future development in mind.

Adding something that should be relatively straightforward suddenly requires major refactoring. In the worst cases, the entire application needs to be rewritten.

That is why the cheapest software to build is not always the cheapest software to own.

Good engineering thinks beyond version one

One of the things experience gives you is the ability to look at version one and think about version two.

I have reviewed software where the immediate feature technically works, but you can see almost instantly that the way it has been implemented is going to create problems later.

The issue is often scope, a solution has been written specifically for the requirement in front of it, with no consideration for what the next logical feature will be. An experienced engineer does not need to predict the entire future of a product. They should be able to recognise obvious directions the software may need to grow and avoid engineering the first version into a corner.

That is the difference between simply writing code and engineering software.

How can you tell if an agency is doing real agentic engineering?

The simplest thing is to ask about the engineering process rather than the AI tools. Ask who is responsible for the architecture. Ask who reviews agent-written code before it reaches production. Ask how security-sensitive features are handled. Ask what testing is carried out. Ask what happens when the AI produces something the engineer disagrees with. Ask who can explain why a particular technical decision was made.

If the answers revolve entirely around how quickly AI can generate code, I would be cautious. The technology is not the differentiator. The engineering judgement around it is.

Agentic development vs vibe coding in one sentence

Agentic development vs vibe coding in one sentance

If I had to explain the difference simply, it would be this:

Vibe coding trusts AI to build the product. Agentic development uses AI to accelerate an engineering process that is still owned by experienced humans.

That is the big difference. Vibe coding might save you money today. Poor architecture, security problems and future rewrites can cost significantly more later. AI has changed who can build software. It has not changed the need to build it properly.