By Ramsha Irfan modified Sep 29, 2025
~ 2 minutes to read
Silicon Valley's newest obsession is vibe coding. You just connect with an artificial intelligence chatbot model, which will produce for you many lines of code. An artificial intelligence-assisted software development approach whereby developers use natural language to convey their demands, the LLM then leads them through it is known as vibe coding. like a set of programmers producing most of the code. It is very helpful for prototypes and boilerplate code, but if suitable regulations, tests, are not in place it can also cause security vulnerabilities, significant technical debt, and brittle systems. Furthermore, release gates are not obeyed.
While Microsoft CEO Satya Nadella asserts that over 30% of Microsoft's code is produced by artificial intelligence, Google's code is generated by artificial intelligence by about 25%. Mark Zuckerberg aims to replace his mid-level coders with artificial intelligence experts.
Big Tech could finally replace every worker given the extensive IT layoffs with artificial intelligence.
How much, nevertheless, does vibe coding cost? Should it be embraced; is it good? Is it negative and what are the long-term repercussions?
Vibe coding is a contemporary programming technique in which you use simple language to describe your ideas and a tool to translate them into functional code. It emphasizes learning syntax rather than simply expressing your intentions.
AI agents powered by large language models (LLMs) like GPT-4 are at the heart of vibe coding. Depending on what you’re trying to achieve, these agents can debug problems, suggest code, understand context, and even make architectural decisions.
You can say, “Create a login page with email and password input,” and AI will create the layout and logic for it instead of having to manually create each line. You’re coding more efficiently, more quickly, and with fewer interruptions without sacrificing control.
Software development is being redefined in this way. Vibe Coding lets you focus more on solving problems and less on fighting syntax by prioritizing intent and letting AI do the heavy lifting.
Also Read: What is Green Coding
Vibe Coding is guiding AI with your thoughts instead of just writing code. The AI is built from the instructions you provide. The process is easy to understand, gives you control, and is straightforward. Here’s a detailed explanation of how it works.
The first step in Vibe Coding is to describe what you want to create. Initially, you don’t write raw code. Instead, you speak in simple, formal terms. For example, you might say, “Create a landing page with a sign-up form and a responsive layout.” It’s important to be direct and unambiguous.
An AI agent, such as GPT-4, Replit's AI, or Cursor, takes over after you submit your query. It generates base code after reading your input and understanding the context. This code is not arbitrary. It often follows contemporary best practices and is clean and modular.
You review the final product after the initial draft. If something is wrong or missing, you provide feedback using plain language. "Add error handling" or "Make the layout mobile-friendly" are two possible statements. The code is immediately updated by AI. It turns into a conversation, like working with a real colleague.
You can run tests from within the platform, such as Replit, once the code is validated. These settings often facilitate version control, live previews, and simple deployment. The entire workflow from prototype to production is supported by Vibe Coding.
You’re not searching through manuals or looking for syntax errors during the process. You’re committed to building quickly and finding solutions to problems.
Vibe coding has virtually eliminated the gap between concept and implementation. A good idea and excellent execution are now the only things that count. Here are the reasons why this strategy has remained popular for a very long time.
• It allows non-technical founders, designers, and subject matter experts to efficiently prototype and deploy MVPs.
• Users can create AI to translate their ideas into executable code using just simple speech.
• Developers can quickly automate repetitive tasks and go from idea to prototype.
• Because they can test and refine their ideas quickly, it has made it easier and cheaper for businesses to experiment.
These factors undoubtedly give you the impression that vibe coding will be a part of our future for a very long time. Now that you know how to accomplish it, it’s time!
Although the effectiveness of vibe coding has not been established in all cases, it has shown improvements in speed and productivity, especially for specific jobs and rapid prototyping. While productivity and speed are important benefits, questions still surround the viability and maintainability of code developed using this technique. These are all the benefits and drawbacks of vibe coding.
By using AI to automate many tedious procedures, vibe coding allows developers to focus on what really matters. This can greatly accelerate development, enabling teams to build and launch apps in hours or days, as opposed to weeks or months. Rapid iteration,
MVPs (minimum viable products), and prototyping can all benefit greatly from this speed.
Vibe Coding makes programming more accessible to people with no coding background. It enables non-technical people, such as entrepreneurs or product designers, to build and test applications. More people can contribute to innovation by democratizing coding.
Vibe Coding fosters experimentation and gives developers more freedom to explore new ideas and concepts. Rapid prototyping enables more experimentation and more imaginative thinking.
Vibe Coding streamlines the development process and automates repetitive tasks, which can greatly increase overall productivity. Better products result in developers spending more time on strategic thinking, design, and user experience.
By speeding up production and even eliminating the need for large development teams, vibe coding can reduce development costs. Additionally, it can be able to offset the cost of purchasing off-the-shelf software.
Thus, vibe coding can be somewhat cool. It makes software development easier, and developers can work more efficiently. However, vibe coding can have unfavorable side effects. AIs are still developing their coding skills. They write a ton of bad code, which leads to problems with security and sustainability. The code will result in tech debt if it is not manually reviewed.
The Center for Security and Emerging Technology (CSET) found that 48% of the code produced by five AI models contained security flaws.
GitGuardian claims that GitHub Copilot, the LLM used for Vibe coding, can unknowingly recommend code that compromises your privacy and security. When they scanned a sample of nearly 20,000 repositories with Copilot enabled in 2024, more than 1,200 of them — or 6.4% of the sample — revealed at least one secret. Compared to all other public repositories, this is a 40% higher incidence rate. Think of Copilot as an AI that Microsoft has just made available as open source software under the MIT license. The majority of Microsoft’s open source initiatives have been extremely successful so far, despite the fact that they have destroyed Skype and other acquisitions. Within the web developer community, Visual Studio Code and TypeScript are well-liked. Developers may find it easier to use Copilot with an open source approach (they just need to pay for the cloud or use their own).
Does this mean that bugs could be more common than before? Never mind. However, it also means that Copilot will release features faster than before and Microsoft can easily copy and paste unique features into Copilot. Only time will tell if Copilot will improve.
Think of Copilot as an AI that Microsoft has just made available as open source software under the MIT license. The majority of Microsoft’s open source initiatives have been extremely successful so far, despite the fact that they have destroyed Skype and other acquisitions. Within the web developer community, Visual Studio Code and TypeScript are well-liked. Developers may find it easier to use Copilot with an open source approach (they just need to pay for the cloud or use their own).
Does this mean that bugs could be more common than before? Never mind. However, it also means that Copilot will release features faster than ever before and Microsoft can easily copy and paste unique features into Copilot. Only time will tell if Copilot will improve or not.
That’s the theory, anyway! When implemented incorrectly, vibe coding can actually be a hindrance rather than a time saver.
The average time savings, according to a 2025 study by the University of Chicago, was just 2.8 percent. As a result, a 40-hour workweek would be reduced to 39 hours. In a November 2024 study, the Federal Reserve Bank of St. Louis found that generative AI users saved an average of 5.4% of their work hours, which translates to a weekly savings of 2.2 hours for a 40-hour workweek.
JetBrains’ 2024 State of the Developer Ecosystem report aligns with these findings. Most people who responded to their survey said they had one to two hours free per week.
According to a 2025 Linkdood Technologies report, 8.4% of workers are taking on new responsibilities as a result of AI deployment, although the new responsibilities it creates negate the time-saving benefits.
Vibe coding requires employees to spend hours refining AI prompts, analyzing results, transforming data, and so on. It has even called for new rules on usage, risk control, and ethical behavior.
These recent experiences contradict previous research that suggested that vibe coding (along with AI) would increase productivity.
In short, AI — not just vibe coding — becomes a time-saving process if it is not managed properly.
While Vibe Coding isn’t right for every project, there are a few situations where it can work quite well. Here are some common use cases where this approach can help you move faster, inspire innovation, or save time:
Rapid prototyping: By defining layout and flow, Vibe Coding allows you to quickly turn concepts into usable interfaces. It’s perfect for minimum viable products (MVPs) and hackathons.
Creative UI Exploration: Exploring creative/user interfaces is a great way to try out different visual designs. Without having to write every layout from scratch, you can ask the AI to create, for example, “a playful landing page for a pet brand” or “a sleek, moody dashboard in dark mode.”
Experiments or solo projects: Vibe Coding is ideal for small teams or individual developers who want to test ideas without diving into complex coding.
Creating boilerplates: Vibe Coding allows you to easily create common components, such as dashboards, navbars, and forms, without having to start from scratch.
Despite its benefits, Vibe Coding is not always the best solution for a task. In the following situations, it may not be the wisest course of action.
Production-grade applications: Vibe Coding is risky for projects that need to scale or handle critical data because it lacks testing, structure, and code reviews.
Team-Based Development: Vibe Coding is not compatible with the collaborative workflow of team-based programming. This is due to the absence of proper documentation and uniform coding standards in the technique.
Systems that are heavily regulated or audited: Strict security rules and safeguards are essential in industries like government, healthcare, and finance. The openness and documentation that these contexts demand is not provided by the informal, ad hoc nature of Vibe Coding.
GitHub Copilot is an AI pair programmer for GitHub. It is accessible through GitHub as well as popular IDEs like Visual Studio, JetBrains, and VS Code. A free plan is available on Copilot, and its paid options start at $10 per month.
• It gives real-time suggestions for entire lines or blocks of code as you type.
• IDEs come with a chat window where you can ask questions and edit in context.
• Able to suggest changes to pull requests or provide a summary of code changes.
• Offers a marketplace with over 30 extensions, such as PerplexityAI and Pinecone AI, to expand its capabilities.
• Enables automated reviews in repositories or manual review requests.
Cursor is a desktop AI code editor that uses natural language commands and intelligent completions to speed up coding. Its paid options start at $20 per month, although a free plan is available.
• An AI chatbot that allows you to use natural language to ask questions about your codebase and request code changes.
• Reduces the need for manual debugging by identifying lint issues and applying remedies.
• Offers robust autocompletion that anticipates multi-line edits, based on recent edits.
• Helps you work faster by suggesting multiple code changes at once.
• Uses intelligent scripts to automatically correct errors.
• View your project files to get answers to questions about the code base.
• Enables you to add visual context to chat by dragging and dropping images.
• Uses the @Web function to search the web for current information.
StackBlitz's browser-based AI coding assistant, Bolt.new, is used to build full-stack online and mobile applications. Using StackBlitz's WebContainers, Bolt scaffolds, edits, and executes code in real time as you interact with it through chat prompts.
Web development is the core of Bolt. It doesn't support non-web languages like Python, C#, or C++, but it does support popular web languages and frameworks like JavaScript, TypeScript, HTML/CSS, Node.js, React.js, Angular, and more.
Bolt starts at $20 per month.
• Generates code by interpreting prompts using Claude 3.7 Sonnet from Anthropic.
• Offers a browser-based editor for manual code editing that resembles Visual Studio Code.
• Provides real-time AI-generated recommendations as you type to help you fix or enhance your code.
• “Discussion” mode to gain unique insights for a project.
• Payment processing with native Stripe integration.
• Integrates with Figma to turn design files into functional code.
• Uses Netlify to quickly and easily deploy projects to the web.
• Supports Supabase for operations involving database setup and validation.
• Uses Expo to build and test cross-platform mobile applications.
Vercel’s AI-powered UI generator is called V0. With it, you can use natural language to describe web application concepts and then launch them.
Paid subscriptions start at $20 per month, while V0 offers a free option.
• Uses React, Next.js, Tailwind CSS, and shadcn/ui to create production-ready code.
• Vercel provides quick deployment and makes GitHub project storage easy.
• You can speed up your UI development process by importing designs from Figma.
• Allows you to view the project’s codebase in coding mode. V0’s built-in editor allows you to edit the code.
• Provides a screenshot-to-UI function that allows you to upload an image and replicate the layout of any interface.
• Custom project directives can be added to control the tool’s behavior.
• Allows you to explore and use previous iterations of a project by providing its version history.
Another AI code editor and IDE plugin that aims to improve the efficiency, speed, and intelligence of your development process is Windsurf (formerly Codeium). Its paid options start at $15 per month, although it has a free plan available.
• Cascade is a smart AI agent that can generate code, solve problems, predict your next move, and navigate complex codebases.
• Along with Windsurf Tab, it offers intelligent autocomplete that makes context-aware recommendations based on your command history, clipboard, and past activity.
• Tab switching enables free app preview, testing, and deployment within the editor.
• Helps maintain consistency across files and functions by using its memory feature to help you remember specific project details.
• Uses image files posted on Cascade to generate code for your user interface design.
• Keeps track of your recent work so you can use the “Continue My Work” feature to pick up where you left off.
Originally known as GPT Engineer, Lovable was an open source project that quickly gained popularity on GitHub. It changed its name to Lobel over time.
Like Bolt.new, Lovable has a chat interface that lets you use prompts to interact with the platform. Lovable generates appropriate code based on your plain English description of the required application.
Lovable has a free plan available, and payment options start at $25 per month.
• Styles the user interface using Tailwind CSS.
• Enables real-time user collaboration with changes instantly synced across all participants.
• Works with tools like Supabase, Stripe, and Clerk and supports both front-end and back-end development.
• Allows you to change text and layout by hovering and clicking on interface components like Figma while maintaining the integrity of the underlying Tailwind code.
• Knowledge files can be used to provide unique context to your project. Details like database schema, design assets, feature descriptions, and user personas can be added.
• Offers a dev mode that lets you use the Lovable editor to view and edit your entire project codebase.
• With just one click, you can share and publish a defined version of your app.
• Ability to add a unique domain name.
Vibe coding, which describes in simple terms what you want, is starting to change the way software is developed, making it easier to turn ideas into functional products. Early prototyping is moving faster than ever for some teams, and this is making it easier for people without general programming experience to get involved.
However, there are real trade-offs associated with this change. If AI output is relied upon without review, code quality, security, and long-term maintainability can suffer. For more complex tasks, human judgment, a clear system structure, and a thorough understanding of the underlying code are still essential. Vibe coding changes the situation where technical skills are needed rather than eliminated.
Vibe coding can play a major role in how teams and individuals approach software development as technologies like Cursor, Replot, Lovable, Bolt, and Windsurf advance. However, in the short term, human control is still crucial to maintaining reliability, and its strengths lie in small projects, experimentation, and quick iterations.
The question is not whether Vibe coding is good or bad. Rather, it is a technique that, depending on how it is implemented, can have an immediate impact. However, if used correctly, it can increase productivity and speed up the development process, making coding more accessible. Without structure, however, code can become disorganized, inconsistent, and insecure.
Its main concerns include reliance on AI outputs without sufficient scrutiny, hidden security flaws, and variable code quality. Furthermore, this strategy can result in the development of weak, difficult-to-maintain systems in the absence of clear standards.
Yes, you can use ChatGPT to generate code. By providing it with the right instructions or prompts, you can generate code, brainstorm ideas, troubleshoot issues, and enhance functionality in real time.
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