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Vibe Coding
Tuesday, October 7, 2025
What is Vibe Coding, and Why Do You Need a Cleanup Specialist to Make It Work?
It's a well-known fact that AI is becoming increasingly involved in everyday business activities. Whether you are ready to accept it or not, companies that embrace this change will stay way ahead of those who try to stick to traditional ways of doing business.
At the moment, these changes in approaches are mainly affecting everyday activities, placing routine, manual responsibilities on AI agents and assistants, to free employees for more strategic and people-related tasks. But it's just a matter of time before these AI tools are able to deliver more complicated and high-value results.
For the people in the development area, AI adoption becomes more visible through vibe coding. And in this article, we'll try to explain the roots and approaches to vibe coding and why do you need a Vibe code cleanup specialist to get the best results. Just keep reading!
What is Vibe Coding and How is It Beneficial?
Vibe coding is a fairly new concept that was first used by Andrej Karpathy at the beginning of 2025. According to his tweet: “There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good.”
Basically, vibe coding is an emerging development practice that allows creating functional code from natural language prompts, without the actual manual coding.
The main benefit of vibe coding lies in its efficiency. By removing the barrier of low-level implementation details, developers can focus on higher-level problem-solving and creative design. Projects that might have required days of manual coding can be prototyped in hours, accelerating the development cycle.
It also lowers the entry threshold for non-technical professionals, who can now participate in shaping applications without deep programming expertise.
Beyond speed and accessibility, vibe coding promotes collaboration. Cross-functional teams: designers, product managers, and business stakeholders can all contribute ideas more directly, since the language barrier between “what you want” and “how to code it” is greatly reduced. This leads to solutions that are better aligned with real-world needs, while freeing engineers to focus on complex architecture and refinement.
Of course, it's not all easy and efficient, and it has its own barriers, commonly associated with AI interference. But we'll talk about it a bit later. Firstly, let's focus on how to vibe code.
How to Vibe Code and What Tools to Use?
Starting with vibe coding is pretty straightforward, as the approach aims to make coding accessible even for non-developers. Of course, the first and probably the most important step is to choose the right platform or tool. Here are some of the most popular ones:
Lovable
You'll probably meet Lovable across different rankings, and it is here for a reason. It is a browser-based AI platform that allows users to create and deploy full-stack web applications by describing their ideas in natural language. It combines UI design, backend logic, and deployment into a single workflow.
It also integrates with Supabase, Stripe, GitHub, and Clerk. GitHub, in this context, will be the most useful integration for exporting a codebase that's working before you make major changes.
As for the price: the Free plan is available with 30 monthly credits, with a maximum usage of 5/day. Paid plans start from $25/month, with 100 credits included.
Replit
Replit is an online development environment (IDE) or platform built to let people write, run, share, and even deploy code entirely via browser. Recently, it has also introduced Replit Agent, which supports generating applications from natural language, managing files, building infrastructure, etc.
It also supports multiple technology combinations for different apps, such as React + Node.js, Streamlit + Python, etc.
As for the price: the Free plan includes 10 checkpoints and basic AI features. Paid plans start from $25/month and unlock all advanced AI features.
Bolt
Bolt, also known as Bolt.new, is also an AI-powered web app builder or a full-stack development agent that works in a browser. It provides a live coding environment where users interact with an AI assistant to implement and modify their applications in real time.
It also allows for different integrations, such as GitHub, Figma, Supabase, Stripe, and Netlify, which allows for better flexibility and efficiency.
As for the price: the Free plan includes 1M tokens/month, limited to 150k daily usage. Paid plans start from $20/month, with 10M tokens/month.
After you choose the perfect tool for your needs, it's time for small experiments: ask the system to create a simple calculator, generate a database query, or design a basic web page layout. These quick wins will help you understand how the AI interprets prompts and how much detail you need to provide. Over time, you’ll learn how to “speak” to the system more effectively, adjusting your prompts to get cleaner, more accurate results.
Another important step, you should never skip, in traditional development, and in vibe coding - test and fix. Especially when you start working with bigger projects, demanding more time and precision, catching and fixing bugs at early stages is super important.
Stick with this approach: describe, generate, test, and fix, to build your project piece by piece, all through conversation. Over time, you'll get the grip of how to balance your prompts to get the best out of AI.
And if you want to maximise your productivity, combine vibe coding with traditional practices. While AI handles repetitive code, you can refine logic, ensure security, and maintain quality standards manually.
The Downsides of Vibe Coding
As a relatively new approach, it is expected to come with its downsides. Especially, considering its heavy reliance on AI, which, although it has already come a long way, still brings challenges and needs human oversight.
If you decide to stick to a vibe code, you should be aware of these main problems you may face: security vulnerabilities, scalability limits, inconsistent quality, and maintainability issues. Let's take a closer look:
Security Vulnerability
AI doesn't always prioritise secure coding practices. Moreover, AI models learn from vast repositories of public code, which may include insecure or outdated patterns. It might skip input validation, use outdated libraries, open the door to SQL injection, cross-site scripting (XSS), or credential leaks.
If you neglect double-checking this aspect or don't consider mixing the traditional development methods, you'll eventually face massive security problems. Especially if you are developing a product that deals with sensitive data.
Scalability Issues
Vibe coding shines at quickly building prototypes, MVPs, or small internal tools. But as systems grow more complex, requiring performance optimisation, sophisticated architectures, or integration with multiple services, AI-generated code will most likely become a burden.
Without deliberate engineering, these projects struggle to scale. You may even find yourself forced to rewrite entire sections of the system, negating the initial time and costs saved.
Inconsistent Quality
Because vibe coding depends heavily on how your prompts are written and how the AI interprets them, the quality of output can change drastically, and without a logical sequence. One prompt may generate elegant, efficient code, while another produces bugged or unreliable solutions.
This inconsistency creates challenges in building a unified, professional codebase. In some cases, your developers will spend as much time refining and rewriting AI output as they would coding manually.
Maintainability Issues
AI-generated code often prioritises functionality over structure, which leads to a lack of modularity, documentation, and other issues that will appear, especially if we are talking about long-term sustainability. Over time, it will have an accumulative effect: each new feature or bug fix will take longer, because the base isn't clear or predictable.
It means higher maintenance costs and difficult handovers for new developers joining the project. You may even need an expensive and time-consuming rewrite of the whole project in order to continue using it over time.
As time goes by, these challenges will find their working solutions, while other downfalls will evolve with the rise of AI. But there is something you can already do to take the best out of vibe coding: hire a specialist!
Vibe Code Cleanup Specialist
As vibe coding keeps gaining its popularity, and more tools and platforms are appearing, allowing non-developers to bring their vision to life, we will also see a rise of a new role: a Vibe code cleanup specialist.
This role will most likely be filled by an experienced developer whose primary responsibility will be reviewing, refactoring, and stabilising AI-generated code. While vibe coding can produce quick results, if you're looking for a long-term solution, you'll need a specialist to add the structure, consistency, and security that were omitted by AI.
Here is what a Cleanup specialist can potentially do with your generated code to make the best out of it:
Refactoring for Maintainability
AI often produces code that is cluttered, repetitive, or hard to follow. A cleanup specialist restructures this output into cleaner, modular components with proper abstractions.
Ensuring Consistency
When multiple team members use vibe coding, the results can vary wildly depending on how each person writes prompts. The specialist aligns these different pieces into a unified style, ensuring readability and coherence across the entire project.
Adding Security Layers
Security is one of the biggest blind spots in vibe coding. The cleanup specialist audits the code for vulnerabilities, applies security best practices, and ensures compliance with industry standards.
Optimising Performance
AI systems aren’t great at balancing functionality with efficiency. Cleanup specialists refactor loops, queries, and algorithms to make sure applications run faster and more reliably, especially under higher loads.
Documenting for the Future
One major gap in vibe coding is documentation. This new role will fill this gap by writing clear comments, adding usage notes, and producing developer documentation.
By combining these efforts, a Vibe code cleanup specialist acts as the bridge between AI-generated output and production-grade software. Their work allows teams to enjoy the speed of vibe coding without paying the long-term cost of instability, security risks, or technical debt.
Conclusions
Over time, vibe coding may change the way we think about building software. Instead of getting lost in lines of code, you can describe what you need in plain language and see it come to life.
But before we get to that point, vibe coding will have its limitations that cannot be overlooked in order to produce a high-quality output. That’s why the role of a Vibe code cleanup specialist comes to the fore: to take the raw output, polish it, and turn it into something reliable, scalable, and ready for the real world.
At the end of the day, vibe coding is about giving people a new development tool, which will work best when combined with human creativity, expertise, and oversight.
Posted by
Anna Shalamai
Content Writer