Vibe coding is a completely new perspective on programming that dramatically changes the traditional understanding of the development process. Instead of writing code line by line, a developer expresses their thoughts in human language, and a special system based on artificial intelligence converts these ideas into functional program fragments..
The concept of vibe coding, along with the term itself, first became known in early 2025 thanks to AI researcher and OpenAI co-founder Andrej Karpathy. The principle is somewhat reminiscent of conducting an orchestra: the human, acting as the conductor, sets the main theme, while the neural network takes over all the technical work of writing the program’s source code, debugging it, and finding errors. This approach reduces the amount of routine work and shifts the emphasis to the programmer’s creativity and intent, allowing them to focus on the creative process while minimizing repetitive tasks.
Today we will take a closer look at the process of vibe coding, discuss the technologies and tools that enable it, and draw conclusions about the prospects and future of this approach.
There are many programs and tools available for getting started with vibe coding. They can help any vibe coder move from describing ideas in plain language to generating working applications.
Below are the main and most popular services and platforms actively used in this process.
GitHub Copilot is a tool developed by GitHub, the creator of the well-known IT project hosting platform.
Its functionality is based on artificial intelligence, specifically multiple models including: GPT-4o, GPT-4.1, GPT-4.5, o1, o3, o3-mini, o4-mini, Claude 3.5 Sonnet, Claude 3.7 Sonnet, Gemini 2.0 Flash, and Gemini 2.5 Pro.
The tool integrates into different code editors such as VS Code or JetBrains IDEs. Copilot can also be used via a web interface or in console mode (for example, through the Windows terminal).
Features include code autocompletion, generating functions or whole blocks of a program based on user requests, and providing access to libraries and ready-made templates.
GitHub Copilot is a paid subscription service, though a free trial with limited functionality is available. Copilot offers four paid tiers that differ in the number of allowed requests and in the availability of additional features.
Cursor is a specialized IDE (Integrated Development Environment) created for fast and efficient program code writing.
It runs on the GPT-4 model. With Cursor, users can:
Generate code in many supported programming languages (Python, JavaScript/TypeScript, Swift, C, Rust, etc.).
Detect and fix errors in program code.
Receive explanations of any code fragments being developed.
Additional features include:
Intelligent autocompletion.
Automatic documentation creation (such as README files).
Multi-Edits and Smart Rewrites for quick code refactoring.
Claude Code is a programming tool built on the Claude Sonnet 3.7 model. It can create programs, run tests, and fix errors. Developed by the American tech company Anthropic, Claude Code was first publicly announced in March 2023.
Claude Code was specifically designed with a focus on working with source code and programming-related tasks. It assists developers in writing and debugging code as well as solving problems across different programming languages.
Unique features include: analyzing images, screenshots, and UI elements in order to provide recommendations or fix errors. Claude Code works through natural language text commands. Like other language models, it relies on machine learning and AI to understand context and generate responses, making it a valuable tool for developers.
Windsurf is an IDE developed by the startup Codeium, positioned as the first “agent-based” IDE.
Windsurf uses specialized autonomous agents capable of handling complex tasks. Its features include:
Code autocompletion.
Cascade (deep real-time understanding of code and context, including dependency and project structure analysis).
AI Flows (synchronization with developer actions, minimizing the need to re-explain tasks).
Replit Ghostwriter is an AI-supported service designed to generate programs without manually writing code. You just need to enter a text request describing the desired program. It significantly accelerates and simplifies the coding process.
Features include autocompletion, code generation, transformation, and explanation.
All of the tools listed above incorporate different language models such as GPT and Claude, trained on enormous datasets that include source code, documentation, and user blogs. Each service also has unique features. For example, Cursor supports voice input, allowing developers to use speech instead of text prompts when generating ideas.
Development speed. Vibe coding drastically speeds up development since AI takes on error detection and debugging. For example, a simple game or website can be created in a few hours instead of days.
Support for beginners. New programmers or non-technical users can realize their ideas simply by describing them in words. Tools like Copilot are also useful for learning the basics and syntax of programming languages.
Automation of routine tasks. AI handles repetitive tasks like bug fixing, testing, and debugging, freeing time for creative or business-related work.
Integration of external technologies. Users can experiment with new technologies without prior experience. For instance, when building a microservice app that requires a database or message broker, AI can help integrate external services correctly.
Quality of generated code. Generated code may contain bugs or vulnerabilities, which is particularly risky if developers use it without testing.
Limited use in production. In production environments—especially critical systems like government or healthcare—vibe coding carries risks due to potential issues with both syntax and logic. The resulting code may fail or negatively impact other system components.
Dependence on AI. The more developers rely on AI, the more likely they are to lose their ability to write code manually.
AI-level limitations. AI may not always correctly process requests. For overly complex prompts, the system may fail to generate code altogether, or misinterpret complicated logic, resulting in incorrect code.
Vibe coding is already being actively used in various fields, from startups to game development and commercial products. Examples include:
Game prototyping. Microsoft developer Peter Yan created a simple 3D shooter prototype using Cursor and Claude 3.7 Sonnet. He verbally described what he wanted, and AI wrote, debugged, and executed the code, producing a functional prototype. Another case: indie developer Levesio built a flight simulator and sold ad space inside the game. In 10 days, he earned over $38,000.
Attracting investment. Supabase, Inc. (founded in 2020) raised $200 million in 2025, partly due to vibe coding’s popularity. Supabase simplifies SQL database setup for apps, which fits perfectly with vibe coding tools. Developers use Supabase as a backend service while generating frontend and logic code with AI, speeding up app creation.
Application development. Big companies also experiment with vibe coding. In 2023, Apple launched an experiment allowing users without technical backgrounds to create apps by dictating features to Siri. With vibe coding tools like Copilot, this concept became reality.
Course creation. AI expert Andrew Ng launched the course Vibe Coding 101, where students learn to build apps using AI tools. The course spans 7 lessons with a total runtime of 94 minutes, teaching the basics of AI-assisted coding.
These examples show vibe coding works well for experiments, learning, and rapid idea prototyping. However, for production use, all AI-generated code requires careful testing.
Although vibe coding changes the development paradigm, it cannot yet replace traditional programming entirely. It should be seen as a new tool in the developer’s toolkit.
By 2027, experts predict AI will generate up to 25% of code overall, and in some scenarios, as much as 90%. This won’t eliminate the programmer profession, but it will redefine it: developers will focus less on coding itself and more on strategy, design, and quality control.
Positive prospects:
Simplified development process. Anyone with an idea can create an app, increasing innovation and startups.
Shift in responsibilities. Developers will work more on architecture, business logic, and creative tasks.
Increased investment. Startups like Codeium and Cursor are already attracting millions, accelerating vibe coding tool growth.
Challenges:
Loss of skills. Heavy reliance on vibe coding may prevent junior developers from learning core principles, syntax, and libraries.
Higher hiring standards. Companies may require stronger skills in code review, making entry-level careers harder.
Security risks. AI-generated code can introduce vulnerabilities, requiring thorough testing.
Despite its huge potential, vibe coding won’t spread everywhere. It will be difficult to use in critical systems where traditional programming remains irreplaceable. Developers will also need to adapt to new demands, mastering prompt engineering and strengthening critical thinking.
Vibe coding reimagines the development process and expands the scope of creativity—but like all neural network tools, it requires responsible use.