Vibe coding is one of the most talked-about terms, topping tech trend lists across the globe. Yet most recruiters have never heard of it.
That is a missed opportunity.
Vibe coding is exactly what it sounds like: you describe in plain language what you want to build, and AI writes the code. No programming skills required.
This article explains what vibe coding is, which recruitment applications make sense, and how to get started.
What every recruiter needs to know about vibe coding
From definition to your first self-built recruitment tool: put AI to real use.
What is vibe coding, exactly?
The name sounds playful, but the idea is serious. Karpathy described it as: you see something, you say something, you run something, you copy something. The AI does the actual coding. You focus on what you want to build, not on how to make it work technically.
What sets vibe coding apart from simply using ChatGPT? With ChatGPT, you ask for text or an explanation. With vibe coding, you use specialised platforms that execute, test and adjust the AI-generated code in real time. The result is a working application built through conversation.
That may sound abstract, but in practice it means this: a recruiter with no programming experience can build a working mini-tool in an afternoon. One that solves a recurring problem in their workflow.
Why vibe coding matters for recruiters
Recruiters have long been stuck between two worlds. On one side: an abundance of off-the-shelf HR software that never quite fits how they actually work. On the other: an IT department whose priorities rarely align with a small recruitment problem. The result is that many recruiters keep working with a three-year-old spreadsheet or wait for a solution that never arrives.
Vibe coding breaks that deadlock. Not for large, complex systems, but for the small tools that always get pushed to the back. A custom candidate tracker for a specific project. A scoring form that calculates automatically. A simple intake checklist for hiring managers.
This reflects a broader shift in how AI is used in recruitment: the focus is moving away from large enterprise systems towards fast, targeted tools that recruiters control themselves. Vibe coding is the next step in that direction: not using AI as a tool, but building with it.
4 practical applications in recruitment
Vibe coding works best for tasks that are currently done manually or in Excel, that follow a fixed structure, and that are specific to how you work. Here are four applications recruiters can act on immediately.
1. Custom candidate tracker
Most ATS platforms are built for volume and organisation-wide processes. For a recruiter running a specific project, working a difficult vacancy, or building a talent pool for one target group, they are too heavy. With vibe coding, you describe exactly which columns, statuses and notes you want, and you get a lightweight tool that matches your approach precisely.
2. Scoring form for selection interviews
A standardised scoring form demonstrably increases the objectivity of selection (Schmidt & Hunter, 1998). Yet many recruiters still work with a customised Word document. With vibe coding, you build a form that tracks scores per competency, calculates a total automatically, and is easy to share with a hiring manager. No Excel, no formatting issues, no lost tabs.
3. Job intake checklist for hiring managers
One of the most time-consuming bottlenecks in recruitment is an intake that only halfway through the process reveals what the hiring manager is really looking for. A simple tool that guides the hiring manager through questions step by step, saves responses and returns a summary cuts down an enormous amount of back-and-forth communication. That is exactly the kind of targeted tool vibe coding is suited for.
4. First-pass screening based on criteria
Sometimes a vacancy has three or four hard knock-out criteria. A simple tool that walks a recruiter, or even a candidate, through those questions and automatically sorts pass/fail can be built in under an hour. No dependency on your ATS, no waiting for IT. One caveat: make sure such a tool complies with data protection regulations. More on that in the next section.
Which tools do you use for vibe coding?
There are now dozens of platforms available. A few stand out for recruiters with no technical background.
Bolt.new is a browser-based tool where you describe what you want to build in a chat. The tool immediately generates a working web application. There is a free version for small projects.
Lovable works similarly but puts extra emphasis on the visual design of what you build. Useful when the result will be shown to others, such as a hiring manager or candidate.
Replit leans more towards collaboration and further development, and is a good choice when you want to build a tool a small team will use.
For recruiters already working with Custom GPT assistants, vibe coding is a natural next step. Where Custom GPTs help you with text and reasoning, vibe coding tools help you build.
Honest about the limitations
Vibe coding has real limitations you need to know upfront. Ignore them and you will run into problems.
Watch out: security and data protection
AI-generated code is strong on structure and layout, but often blind to security standards. Think unsecured API keys, prompt injection, or unintended access to data. Never store candidate personal data in a self-built tool without a security review. Use this approach for internal tools only, not for systems that process candidate data. When in doubt, check the applicable data protection rules for your region.
Beyond security, there are three further limitations to consider.
First: the approach works well for simple, self-contained tools. As soon as the logic becomes more complex or a tool needs to integrate with existing systems, it quickly becomes harder than it looks.
Second: research shows that speed increases sharply for simple tasks, but the time needed for review and debugging is consistently underestimated. If you cannot recognise errors in the output, you also will not notice when something quietly goes wrong. Third: AI-generated code is difficult to maintain if you do not understand the underlying logic yourself.
That brings up a point that few vibe coding articles mention: you do not need to learn to program, but you do need to understand the logic of your own process. What should the tool do first? What happens if there is no input? What if someone enters something incorrect? Anyone who cannot answer those questions will build a tool that works — until it does not, and then they are stuck. That is not a reason to avoid it. It is a reason to start small.
In short: self-built AI tools are valuable for small, internal use cases. They do not replace professional software development and are not a shortcut to a fully functioning candidate management system. Think of them as a way to solve the problems that have been sitting in a spreadsheet for years.
If you plan to use a self-built tool in a selection process, also be aware of the AI literacy and transparency requirements under the EU AI Act which came into force in 2025.

How to start today
The best way to get started with vibe coding is to pick a small, concrete problem. Something you currently track in a spreadsheet, or a task you repeat manually. Write down in three to five sentences what you want: what the tool does, what input you provide, what output you want. Go to bolt.new or lovable.dev, type in your description and see what comes out.
Do not expect it to be perfect straight away. Vibe coding is an iterative process: you describe, you see the result, you adjust your description. That back-and-forth is precisely the mechanism that works.
For those who want to go deeper, and build AI agents that execute multiple steps autonomously, there is dedicated training available at RecruitmentTraining.pro. More on that below.
From vibe coding to your own AI agent
The AI training programmes at RecruitmentTraining.pro teach you step by step how to handle recruitment tasks autonomously.
Frequently asked questions about vibe coding for recruiters
What is vibe coding in brief?
Vibe coding is a method where you describe in plain language what you want to build, and an AI model automatically writes the corresponding code. The term was introduced in 2025 by AI researcher Andrej Karpathy. Vibe coding makes software development accessible to people without programming skills.
Does a recruiter need programming knowledge to use vibe coding?
No. Vibe coding is designed precisely for people who cannot code. You describe in plain language what you want, and the AI translates that into working software. It does help to be specific in your description. A vague prompt produces a vague result.
What recruitment tools can you build with vibe coding?
Suitable applications include: a custom candidate tracker, a scoring form for selection interviews, a job intake checklist for hiring managers, or a simple screening tool based on hard criteria. Complex systems with multiple integrations are less suitable.
Is vibe coding safe to use with candidate data?
Not without additional review. AI-generated code is strong on structure and layout, but has no built-in awareness of security standards. Think unsecured API keys or unintended access to data. Only use self-built tools internally and avoid processing sensitive candidate data unless the security has been verified.
Which vibe coding tools are suitable for beginners?
Bolt.new and Lovable are accessible starting points for non-programmers. Both run in the browser, have a free version and are suited for small, self-contained tools. Replit is an option if you want to build a tool that a small team will use.
What is the difference between vibe coding and a Custom GPT?
A Custom GPT helps you with text: writing, reasoning, summarising, answering. Vibe coding helps you build: you create a working application that functions independently. Both are useful for recruiters, but for different purposes.
About the author
Jacco Valkenburg is a recruitment architect, author and trainer with 25 years of experience in talent acquisition and selection. He is the author of Eerlijk over selectie (Honest about Selection) and delivers training on AI, LinkedIn and evidence-based recruitment at RecruitmentTraining.pro.