Software development is undergoing a shift due to “Vibe encoding,” a new approach where AI helps write code based on human instructions. Experienced engineers and complete beginners start coding by describing what they want instead of typing each line.
Andrej Karpathy, the co-founder of Openai who created the term, joked that his coding workflow was described as: “I just see things, say things, run things and copy paper, mostly it works.” In other words, AI handles the heavy lifting of programming, while developers focus on ideas.
Andrej Karpathy on X (Source: X)
General overview of atmosphere coding
VIBE encoding refers to the AI-assisted method of building software “Total surrender to resonance” (As Karpath said), let the machine generate code from natural language prompts. Instead of writing traditional syntax, developers (or non-developers) describe the required functionality of ordinary English, and AI produces matching code. Tips get so good that in some cases they are as important as programming languages in this paradigm.
This concept emerged along with advances in large language models such as Openai’s Chatgpt and Github’s co-pilot. Early AI coding assistants could only recommend small code completions, but modern systems could generate entire functions or applications on commands. By 2023, AI paired programmers evolved into a true coding partner – Github Copilot has been adopted by more than 1 million developers and generated over 3 billion code, reducing the time to change code by about 50%. Now, in 2025, tools are pushing further: Vibe encoding is designed to allow anyone to build software by simply describing their ideas.
Why the atmosphere coding trend?
Several factors explain its rise. First, it can greatly speed up development – boring boilerplate and repetitive tasks are offloaded to AI, so once it takes weeks to prototype a project. Second, it reduces barriers to entry to programming; people without formal coding training can create working applications by talking to AI assistants. Many people find that if you have an idea, you can implement the product with effective tips and communication. Third, developers can focus on creative problem solving and design rather than fighting with grammatical errors – keeping them flowing and motivating. Even debugging can become an issue that copies error messages to the AI and lets it suggest fixes. This fluid workflow is incredible for new immigrants and works for experts.
Technology leaders are paying attention to recognizing the potential of AI-driven development and the significant changes in programming in 2025. It is already in progress.
Top atmosphere coding tools
A new wave of tools and platforms make atmosphere coding accessible. These AI-powered development environments allow users to talk to computers to generate and modify code. Today, the four main oscillation encoding tools are Replit, Cursor, Cute, and Windsurf. Each uses AI-assisted encoding method slightly different.
The following table provides a brief overview of these tools and their key features:
| tool | method | Key Features |
| Replenish | Online IDE (in-browser coding environment) and integrated AI assistant. | AI chat and code completion assists in writing and repairing code. Users can run and deploy applications from the browser. Very popular among beginners: About 75% of supplemental users start the project purely by prompting, rather than by hand coding. |
| cursor | AI Enhanced Code Editor (Desktop IDE). | Allows encoding via bland language instructions in familiar editing UI. It is composer Features allow you to request new features or edits in a conversation. Supports multi-file generation and has powerful automatic completion and debugging help. |
| cute | AI-driven application builder (web-based platform). | Focus on building full-stack applications from advanced ideas. Users describe what they want (such as the “social media feed app”), and lovely people generate a work project with Frontend & backend. It can “Ship the entire front end in one prompt” Then fix UI errors or make changes as required. Target for non-developers and designers – you will get production code that can be downloaded or pushed to GitHub. |
| Surfing | AI-NATION IDE via Codeium (Desktop Application). | one Free The AI code editor is touted as the “first proxy IDE”. Combine AI encoding assistants together and be able to automate tasks (such as editing multiple files or running commands). Emphasizes the “thought-thinking” experience of AI processing the context and reconstruction within the scope of the project. Ideal for power users who want to deeply integrate AI into their workflows. |
Impact on software development
The entire software industry has already felt the rise of Vibe encoding. Productivity and development speed have been greatly improved. Developers using AI encoding assistants usually get their tasks done faster – GitHub, for example, reports that about 30% of new code on the platform is written with the help of Copilot’s suggestion, while teams using such tools reduce coding time. Startups are using Vibe encoding to compress prototype schedules: one or two people may achieve it on a weekend, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people, with the help of one or two people. This means faster innovation and new ideas will be shorter to market.
The coding culture is also constantly developing. Traditionally, programming requires learning formal languages and grammar, but Vibe coding shifts the focus to problem solving and design thinking. Developers are increasingly acting like project managers or architects, guiding what AI needs to build and then refining the output. This allows experienced coders to keep their creative “flow” state – rather than stopping to find API documentation or debugging minor errors, it requires the AI to handle these details. For many people, it feels like you are constantly having a junior programmer or “co-pilot” around you. When AI processes regular code, human developers can focus on advanced decision-making, user experience, and refinement requirements. Some companies report that their engineers now spend more time reviewing and guiding AI-generated code rather than writing everything, changing the dynamics and workflow of the team.
Crucially, Vibe encoding makes software development easier to access the traditional programmer community. Non-engineers (such as designers, product managers, scientists, or thoughtful entrepreneurs) can use these tools to create functional software without deep coding knowledge. The democratization of encoding is demonstrated by the types of users flocking to the Vibe encoding platform.
The learning curve of programming effectively reduces: Rather than spending months learning JavaScript or Python syntax, newcomers can build a simple website or automated task by chatting with AI agents. This opens the door to wider participation in software creation. This also means that professional developers may soon work with colleagues with domain expertise but with minimal coding – AI systems help bridge the gap.
The software industry is adapting to this shift. Investment and interest in AI development tools surged, with major technology incubators and venture capital supporting these platforms. Big tech companies are integrating similar features into their products (for example, new versions of IDE and cloud services now offer AI code assistants).
There is a growing consensus that AI-assisted coding will become a standard component of the developer toolkit. Some tech leaders even predict that we are on the brink of a new era, and that hand-written code is rare in most regular programming tasks. However, this doesn’t make human developers obsolete – it’s it changes their roles. Just like introducing automation in other industries, the focus shifts to supervision, creative direction and complex problem solving, while Guunt is automated. In fact, many developers using Vibe encoding tools say they can accomplish more with the help of AI, which can lead to faster software development cycles and may even enable smaller teams that only large teams can do.
Build a waitlist website using Replit (Alex McFarland/Unite AI)
Challenges and controversies
Despite the promise, Vibe coding faces enormous challenges and controversy, the subject of debate in the technology community. Perhaps the most direct concern is code quality and correctness. AI models can and do produce incorrect or suboptimal codes. Ease of use is a double-edged sword – newcomers may quickly generate a working application, but if they don’t understand the work of the code, they may miss mistakes or design flaws.
If users rely blindly on AI, they may create software that works on the surface but is not well-structured. This leads to concerns about technical debt – fragile or difficult to maintain code. Over-dependence on AI can create confusing code that becomes difficult to manage during scaling or debugging. Essentially, AI may write code that is initially feasible but not robust, secure or efficient, especially if the user experience is not enough to guide or verify it.
There are also issues of trust and supervision. If the AI-generated script fails or causes harm, who is responsible? Developers using Vibe encoding tools still need to review and test the output, but not everyone does.
Moral and legal issues have also been raised. AI models like those that power co-pilots or cursors train a large number of repositories of existing code – some of which are open source. This leads to controversy over whether AI-generated code will inadvertently steal licensed code. Although the average user of Vibe encoding tools is not directly involved in such disputes, the results may affect how these tools work or code that can be safely generated. Furthermore, privacy is a consideration: generating code using cloud-based AI may expose proprietary project details to third-party services, which has concerns some companies.
Finally, there is an educational and labor consideration. Some developers worry that widespread use of Vibe encoding tools may lead to erosion of programming expertise. If the next generation of coders tilts over AI, will they develop the deeper understanding needed to innovate or solve problems when AI fails? This is a valid question – know how Historically, it has been crucial for troubleshooting and optimization.
Bottom line
Vibe encoding represents an important step in making software creation more efficient and inclusive, but it is not without pitfalls. It revolutionizes the coding culture by allowing people to build software through natural dialogue, but it also raises questions about the problems we may lose when we no longer write code. Row by line.
Audiophiles think this is a development of programming – developers work with AI as creative partners – critics urge caution, emphasize the need for human supervision, learn the basics, rather than viewing AI as a magic bullet for all problems. Like any powerful tool, the key will be the way we use it. Vibe encoding tools can certainly accelerate development and enhance the capabilities of a wider range of creators, but developers and organizations will need to adopt best practices (testing, code review, security checking) to mitigate risks. The coming months/years will help users learn and validate generated code with better AI models and capabilities.
One thing is clear: the rise of Vibe encoding marks a new era of software development. Writing code is no longer a prerequisite for building software. Whether this will lead to an explosion of creativity and productivity, or a wave of malfunctioning spaghetti code applications (or both) will depend on how responsible the tech community is for this shift. Currently, Vibe encoding is here, it is changing the game – invites anyone with ideas “Just the atmosphere” And start coding with AI around them.
