Vibe-coding for corporates: what it is and why your IT department should care

Vibe-coding is no longer a fringe experiment. It is a way of working where someone without programming experience instructs an AI system to write functional software. No IDE, no syntax knowledge, no pull requests. You describe what you want, the AI generates code, you test the result, you adjust in plain language and repeat.

For small internal tools, prototypes, and experiments this works surprisingly well. At Livewall we use AI structurally as part of our development process, from rapid prototyping through to full web application development. We know what AI accelerates and where the limits are. That knowledge is exactly what corporate IT teams need right now, because vibe-coding is already flowing into organisations through business units, marketing teams, and operationally minded managers who want tools that IT is not delivering fast enough.

What vibe-coding actually means in practice

The term comes from Andrej Karpathy, former AI researcher at OpenAI and Tesla. He described a way of working where you do not instruct AI as a tool but as a collaborator: you give a loose description of what you want, evaluate the result, correct in natural language, and repeat until it is good enough.

The key is in that phrase 'good enough'. Vibe-coding does not produce production-ready, well-tested, scalable codebases. It produces working prototypes, first versions of internal tools, dashboards that do roughly what the user needs. For a huge number of use cases that is more than sufficient.

Where it becomes problematic: when those vibe-coded tools go into production without anyone reviewing the code. When sensitive data flows through them. When the tool is handed over to IT three months later and nobody can explain how it works.

The three risks IT leaders need to take seriously

1. Security without awareness. AI-generated code is functional, but not always secure. Models write code that works in the demo but introduces vulnerabilities in production. Injection attacks, insecure data storage, missing authentication: these are known patterns in vibe-coded output. Not because the AI is careless, but because 'security' was not in the prompt.

2. Maintainability at zero. Code generated by AI without architectural guidance is difficult to maintain. There is no consistent naming, no logical structure, no documentation that captures the reasoning. When the original vibe-coder leaves or the tool grows, IT inherits a black box.

3. Shadow IT at scale. This is arguably the biggest operational risk. When business units start building tools outside IT, you lose visibility over what is running, what data is being processed, and which external services are being called. Vibe-coding does not just make shadow IT easier, it makes it tempting.

At Livewall we build platforms for clients like Zorg van de Zaak and Sportvisunie that handle sensitive user data. In those contexts, security is not an option, it is an architectural decision made at the start.

What corporate IT should do right now

Banning it does not work. The history of cloud adoption, of IT consumerisation, of every moment business need moved faster than IT could deliver, teaches us that. What does work: structure it, bound it, and ride alongside it.

Set a vibe-coding policy. Decide which use cases are acceptable: internal prototypes, personal productivity tools, data analyses that contain no personal data. And define explicitly where it is not acceptable: customer-facing systems, tools connected to production databases, anything within GDPR scope.

Build a lightweight review process. Any vibe-coded tool that goes beyond personal use should pass a minimal technical review. Not bureaucracy, but a baseline: is the code readable, are there known vulnerabilities, what does it do with data?

Deliver faster yourself. The honest reason business units start building on their own is that IT is too slow or too complex. Internal systems do not always need to be built by large vendors. A small external partner who can move quickly, with custom tooling built for the actual need, resolves more than an internal ban.

Make AI use visible. Ask teams to report which AI tools they use and for what. Not as a control measure, but as organisational knowledge. That way you see what is happening and can course-correct before it escalates.

Where vibe-coding genuinely delivers value in a corporate context

Not everything here is risk. Vibe-coding has legitimate applications that IT departments can embrace rather than avoid.

Prototyping and validation. A product owner who wants to test an idea before IT allocates capacity can use vibe-coding to build a first version concrete enough to have a real conversation about. That is not a threat to IT, that is better alignment. At Livewall we work with a prototype-first approach ourselves: build something that works early, then iterate based on real use.

Internal analytics tools. A data analyst who wants to build a dashboard on top of internal data, with no external API connections, no personal data, no production environment: that is a low-risk application. Guide it, document it, but do not ban it.

Iterations on existing tools. Small adjustments to internal tools, extra fields, changed workflows, reporting extensions: these are tasks where vibe-coding can deliver faster than a ticket in IT's backlog. Provided the underlying architecture is already sound.

Our sister company Mach8 helps organisations implement this kind of AI application in a structured and secure way, from automating repetitive tasks to building internal workflows with AI as the engine.

The question IT leaders need to ask themselves

The real question is not whether vibe-coding is safe. The question is: what does your organisation do when someone uses it tomorrow, regardless of whether you approved it?

The answer to that question determines whether you spend the next two years in control of your technical landscape, or cleaning up undocumented tools full of vulnerabilities.

At Livewall we work with teams who want to build fast and ship quality. We combine AI acceleration with grounded digital strategy and solid development practice. That is not a contradiction. That is just good craft in 2026.