Vibe coding – what it is, why it's needed, where to start: tools, approaches, first project

Contents:

• What is vibe coding
• Tools for vibe coding
• Which language model to choose
• Vibe coding in action: creating a Telegram bot
• Pros and cons of vibe coding
• Tips for a vibe coder
• What to remember

In recent years, the programming community has increasingly discussed the possibility that neural networks will take over coding in the near future, potentially leading to the disappearance of the developer profession. It is assumed that companies will only need project managers to manage teams of AI agents. However, such predictions raise many questions about the future of the software development industry and the role of humans in this process. Developing complex systems requires not only technical skills but also creativity, critical thinking, and the ability to solve non-standard problems, making a fully automated process unlikely.

It sounds alarming, but among worried tech professionals, there are developers who have almost completely abandoned coding. They trust neural networks to perform work tasks, fix bugs, and even create entire projects. These programmers call themselves vibe coders and are confident that the future of programming lies in human collaboration with a neural network. This new work paradigm opens up opportunities for more efficient and faster software development by minimizing routine tasks and allowing developers to focus on creative aspects.

In this article, we'll take a closer look at the concept of vibe coding: what it is, who its founder is, and how to become a vibe coder. We'll also explore the process of creating a Telegram bot without writing code. Vibe coding is a new approach to programming that allows users to interact with technology intuitively. Learn how this method simplifies app creation and process automation, opening up new possibilities for everyone.

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• What is vibe coding
• Tools for vibe coding
• Which language model to choose
• Vibre coding in action: creating service X
• Pros and cons of vibe coding
• Tips for a vibe coder

What is vibe coding

Vibre coding (from English vibe coding) is an innovative approach to programming in which developers use neural network agents to write code. In this process, a person describes their idea and the functional mechanics of an app in natural language, and a machine learning model automatically generates the corresponding code. Ideally, a vibe coder doesn't need to have deep programming knowledge; the main requirement is to correctly formulate the task for the AI ​​agent. This approach significantly simplifies the development process and opens up new opportunities for people without a technical background, allowing them to realize their ideas digitally.

In early 2025, Andriy Karpathy, a machine learning scientist and co-founder of OpenAI, introduced the concept of vibe coding. He shared his experience using neural networks in the development process and emphasized that he increasingly rarely double-checks the results generated by language models. This approach opens up new horizons for developers, allowing them to focus on creative aspects rather than routine code reviews. Vibe coding demonstrates how modern technologies can be effectively integrated into workflows, increasing productivity and development quality.

A new trend is emerging in programming, which can be called "vibrational coding." This style implies complete immersion in sensations, allowing developers to forget traditional rules and limitations. Vibrational coding emphasizes the exponential growth of code, and code itself ceases to be perceived as something fundamental. This approach is focused on intuitive program creation, where inspiration and feelings become the main drivers of the development process. As a result, developers can create more innovative and effective solutions, opening up new horizons in the world of programming.

The rapid development of large language models, such as Cursor Composer with Sonnet integration, has opened up new horizons in development. Now I practically do not use the keyboard, communicating with Composer verbally through SuperWhisper. Requests like "reduce the sidebar indents by half" have become commonplace because they significantly simplify the code editing process and save time. Voice control and automation technologies make the work more efficient and convenient for developers.

I usually accept all changes without going into detail. If errors arise, I simply paste the error text into the dialog, and this usually helps. The code volume grows so much that it takes me a long time to understand it. If the model is unable to fix the error, I bypass it or ask for random changes until the problem disappears. This approach allows us to optimize the coding process and minimize the time spent on bug fixing.

This approach is certainly not suitable for serious products, but it is great for prototyping and weekend projects. If I'm developing a web application, it's mostly a formality. In practice, I simply observe, discuss, run, and copy existing solutions. And, surprisingly, most of them function effectively.

Andriy Karpatyi is a name that evokes interest and respect. He is known for his achievements in a particular field, as well as his ability to inspire others. Andriy has a unique approach to solving complex problems, making him a valuable specialist in his field. His experience and knowledge allow him to achieve high results and influence others. At the same time, Andriy actively shares his developments and successes, which contributes to the growth and development of his colleagues and followers.

Karpatyi developed MenuGen, a web application that generates images of dishes based on menu photos. This application includes user authentication functions and a subscription payment system, both implemented using neural network technologies. MenuGen simplifies the process of choosing dishes and significantly improves the user experience by providing visual recommendations based on real photos.

If you are interested in exploring the capabilities of neural networks in programming, we recommend reading our article on developing mobile games using artificial intelligence. In it, you will find useful information on how to integrate AI into the gaming process, as well as examples of successful projects and tips for optimizing the operation of neural networks.

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Creating a game using neural networks: a creative producer's view

Game development using neural network technologies opens new horizons for developers and creative producers. Neural networks can significantly improve the content creation process by automating routine tasks and providing unique solutions for game mechanics and design.

The creative producer plays a key role in integrating neural networks into a game project. The first step is to determine the goals for using neural network technologies. This could be generating game levels, creating characters with unique characteristics, or improving enemy AI.

The next step is choosing the right tools and platforms. There are many libraries and frameworks, such as TensorFlow and PyTorch, that offer powerful tools for working with neural networks. It is important to understand what problems they can solve and how to integrate them into an existing game engine.

Working with data is equally important. Training neural networks requires large volumes of high-quality data, which can include images, sound effects, and game logic. A creative producer must organize the collection and processing of data to ensure the high efficiency of neural networks.

Finally, testing and optimization are key stages in development. It is necessary to regularly check how the neural network copes with the assigned tasks and make changes to the algorithms if necessary. This iterative process allows for achieving the best results and creating a unique gaming experience.

Thus, the use of neural networks in game development opens up new opportunities for creative producers, allowing for the creation of more engaging and innovative projects.

Vibe Coding Tools

Let's look at the best code editors and integrated development environments (IDEs) for web coding. Let's analyze their functionality, cost, and availability on various platforms.

The program has the ability to generate projects and simultaneously work with several files. With its help, users can effectively manage multiple tasks, which significantly optimizes the workflow. This functionality is especially useful for developers and designers who often need to edit and create multiple files simultaneously.

Prices start at $20 per month, with a free plan also available.

Platforms supported by this solution include Windows, macOS, Linux, and the web. This ensures broad accessibility and ease of use for users across various operating systems. Choosing such a diverse platform allows users to work with software in a comfortable environment, regardless of the device they are using.

Cursor is a fork of the Visual Studio Code code editor and includes neural network integration. It is a full-fledged IDE designed for convenient and efficient programming. In Cursor, users can choose from several language models from companies such as OpenAI, Google, DeepSeek, Anthropic, and others. This provides flexibility and variety in tool use, making development more productive and convenient. Cursor offers developers innovative features to improve the coding process and enhance the quality of their work.

Cursor's neural networks perform functions similar to those of real programmers. They not only generate code but also analyze the project's codebase, edit existing files, and create new ones. Users can simply describe the project's essence, and Cursor will automatically set up the environment, write the necessary code, divide it into modules, and fix errors. This significantly simplifies the development process and increases programmer efficiency.

Cursor's advantage is its interface, which is reminiscent of VS Code. This makes the process of mastering the editor easy and intuitive for users already familiar with the popular development environment.

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Visual Studio Code: installation, configuration, Russian language support, and hotkeys

Visual Studio Code is a powerful code editor that is widely used by developers to create and edit software. In this guide, we'll walk through the installation, setup, and localization process, and provide a list of useful keyboard shortcuts.

Installing Visual Studio Code is simple and intuitive. First, download the installation file from the official Microsoft website. Then follow the on-screen instructions to complete the installation. Visual Studio Code is available for various operating systems, including Windows, macOS, and Linux.

After installation, it's important to customize the editor to suit your needs. In the settings, you can change themes, fonts, and indentation options, as well as add necessary extensions to support various programming languages ​​and tools.

Languaging Visual Studio Code to localize the editor will help you work with it in your native language. To do this, go to the "Extensions" section and find the localization extension. Install it and restart the editor for the changes to take effect.

Keyboard shortcuts in Visual Studio Code significantly speed up your work and make your programming process more efficient. Some of the most useful keyboard shortcuts include opening the command palette, switching files, copying and pasting code, and launching the terminal. Check out the full list of keyboard shortcuts in the Visual Studio Code documentation to get the most out of the editor.

All in all, Visual Studio Code is a versatile developer tool that can be easily installed, configured, and customized to suit your needs, including localization and the use of hotkeys to increase productivity.

Code generation and project editing are the core functions of modern development tools. These capabilities enable developers to efficiently create new applications and improve existing ones. Tools capable of code generation significantly speed up the development process, allowing for the automatic creation of templates and code snippets. Editing a project provides flexibility and the ability to adapt to changing requirements, which is critical in a dynamic development environment. Using such tools helps optimize the workflow and increase team productivity.

Pricing starts at $15 per month, with a free plan also available.

Supported platforms include Windows, macOS, and Linux, and plugins are available for the most popular integrated development environments (IDEs).

Windsurf is a fork of VS Code and the main competitor to the Cursor editor. This tool offers features for code generation and project management, making it useful for developers. Windsurf's unique feature is its minimalist interface, which is ideal for users who do not often work with professional integrated development environments (IDEs). Windsurf offers convenience and simplicity, allowing you to focus on coding without unnecessary distractions.

In May 2025, OpenAI completed its acquisition of Windsurf for $3 billion. OpenAI is expected to develop exclusive features that will not be available in the Cursor product. This acquisition underscores OpenAI's commitment to innovation and expanding its capabilities in artificial intelligence.

The system has the ability to develop projects and deploy them on a local server.

The cost starts at $20 per month, a free version is also available Tariff.

Web development platforms play a key role in creating and maintaining websites. They provide convenient tools and technologies that allow developers to effectively work with content and functionality. Web platforms offer a wide range of capabilities, including content management, integration with various services, and responsive design, allowing you to create modern and functional web applications. Choosing the right platform depends on the specific needs of the project, the technical proficiency of the team, and the goals to be achieved. Effective use of web platforms can significantly speed up the development process and improve the user experience.

Replit is a cloud-based development platform that offers support for neural network agents. It is ideal for programmers creating mobile applications and websites. Users can easily launch their finished projects on Replit servers, ensuring rapid deployment and availability of applications. The platform provides powerful collaboration tools and simplifies the development process, making it more efficient and convenient.

Replit has a unique feature - it is a web service that allows you to write code directly in the browser. This functionality makes the platform accessible to users, allowing programming even on a smartphone. However, it's worth noting that the browser editor, while convenient, can be slower than native apps. Therefore, users who value high speed and performance should consider this aspect when choosing a programming tool.

Code generation, bug fixing, and research are key skills that allow you to effectively solve problems in programming and development. Code generation allows you to quickly create functional modules, significantly speeding up the development process. Bug fixing ensures software reliability and stability. Research helps find new solutions and optimize existing processes, which in turn improves the quality of the final product. These skills are fundamental to success in the IT field.

Service prices start at $20 per month.

Platforms: Web

Web platforms are powerful tools for creating and managing online content. They provide users with access to various services and applications via the internet. Modern web platforms allow you to develop interactive websites, blogs, and online stores, providing the ability to scale and adapt to various needs. Using web technologies significantly simplifies the process of interacting with customers, improving the user experience and increasing business efficiency. Content optimization for search engines (SEO) on web platforms plays a key role in attracting the target audience and increasing the visibility of the site in search results. High-quality content, well-chosen keywords, and user-friendly navigation help improve a website's search engine rankings and boost its rankings.

Devin is an autonomous AI programmer that can become an integral part of a development team. It can be integrated into a work chat and assigned tasks from a project management system. Devin analyzes the codebase, asks clarifying questions, and begins work. Upon completion, the bot uploads the completed code to the repository and generates a report on the work performed. Using Devin not only speeds up the development process but also improves code quality, making the team more efficient.

Developers recommend using Devin for routine tasks. Devin effectively handles rewriting project code to another language, updating dependencies, conducting research, and fixing errors. Using Devin allows you to reduce the time spent on these tasks and increase overall team productivity.

Generating code from scratch and fixing errors are key capabilities of modern software tools. These features allow developers to speed up the software creation process and improve its quality. Code generation automatically creates working fragments, significantly saving time. Bug fixing helps identify and resolve errors, improving application stability and performance. Using these development capabilities allows you to implement projects as efficiently as possible and achieve high results.

Prices start at $17 per month.

Platforms on which your content is available: Windows (WSL), macOS, and Linux. These operating systems provide a reliable and efficient environment for working with various applications and tools. Choosing the right platform depends on your needs and preferences. Windows with the WSL subsystem offers the ability to integrate with the Linux environment, allowing users to utilize the best features of both systems. macOS is known for its stability and user-friendly interface for developers, while Linux offers extensive customization and configuration options for specific tasks.

Claude Code is a powerful code generator for the terminal. It's based on the Claude Opus 4 neural network, which can not only create projects from scratch but also fix errors and synchronize changes with remote repositories. This tool significantly simplifies the development process, allowing programmers to focus on more important tasks. Claude Code is ideal for developers looking to increase their productivity and optimize their workflows.

The tool is designed to run in the terminal, making it more suitable for experienced developers. Beginners are advised to choose solutions with a graphical interface, as they provide a more convenient and intuitive workflow.

Code editing and error correction are key skills required for successful development and support of web projects. These skills enable developers to improve website functionality, enhance performance, and ensure stable operation. Effective code editing involves optimizing existing solutions and making necessary changes to eliminate errors, which in turn improves the user experience. Key tools for editing code and fixing errors include text editors, version control systems, and debugging tools. Professional developers must constantly update their knowledge and skills to stay current with modern technologies and methodologies, which is an important aspect of web development.

The service costs zero rubles, making it completely free.

Development platforms include plugins for VS Code, as well as solutions like Cursor and Windsurf. These tools significantly simplify the programming process, providing developers with the necessary functions and improving their productivity. Plugins for VS Code expand the editor's capabilities, allowing for the integration of various programming languages ​​and tools. Cursor and Windsurf offer unique features that promote more efficient code writing and debugging. Using these platforms helps developers optimize their workflows and achieve greater results in software development.

Cline is an open-source neural network programming agent available as a plugin for editors such as VS Code, Cursor, and Windsurf. This tool allows you to integrate any neural network using a personal API key. Cline simplifies the programming process by giving users access to powerful AI capabilities to automate tasks and increase productivity. With it, developers can significantly reduce coding time and improve the quality of their projects.

Cline's developers emphasize that the tool is completely free. Users only need to pay for the AI ​​providers' services using the tokens used. This makes Cline an affordable solution for those looking for effective tools without additional costs.

Web Applications: Key Features and Functionality

Web application development is the process of developing software accessible through a web browser. Web applications offer a variety of features that make them indispensable in today's digital world. They allow users to interact with data and perform various operations online. Web applications can include content management systems, online stores, online services, and much more. The key features of web applications are their accessibility, interactivity, and ability to run on any device connected to the internet. Using modern technologies such as HTML, CSS, and JavaScript, web applications offer users a convenient and intuitive interface. They can also integrate with various APIs, expanding their functionality and enabling the implementation of a wide variety of tasks.

Cost: Free.

Platforms: Windows, macOS, Linux. These operating systems provide users with a wide range of features and functionality. Windows is one of the most popular desktop platforms, offering a rich selection of software and games. Developed by Apple, macOS is renowned for its intuitive interface and high stability, making it ideal for design and development professionals. Linux, being an open system, offers users flexibility and customization, making it popular among developers and system administrators. Each of these platforms has its own unique features and advantages, allowing users to choose the one that best suits their needs.

GigaStudio is a neural network agent developed by the Sber team. It can create applications using React, Next.js, and TypeScript. Support for languages ​​and frameworks such as Vite.js, Python, Go, and Flutter is planned for the near future. GigaStudio is also integrated with GigaIDE, Sber's unique development environment, providing users with convenient tools for developing and optimizing their projects.

The tool is currently available in early access mode, allowing users to try out its functionality for free. To apply for testing, visit the GigaStudio website.

The system has the ability to answer questions and generate code. It is able to process requests, providing accurate and informative answers, and create software solutions in various programming languages. These features make it useful for developers, students, and anyone looking for help solving problems or learning new technologies.

Prices start at $10 per month, with a free plan also available.

Platforms: Windows, macOS, Linux. These operating systems offer a wide range of user experiences. Windows is one of the most popular platforms, offering an intuitive interface and a wide range of applications. macOS is renowned for its stability and optimized performance with Apple products. Linux, meanwhile, attracts users with its openness and customizability. Each of these platforms has its own unique features and advantages, making them suitable for different tasks and user preferences.

JetBrains AI is a suite of neural network tools, including:

• Junie – a junior agent that can be tasked with writing simple code snippets and troubleshooting errors.
• AI Assistant – a chatbot that answers programming questions.

The tools are available in official JetBrains IDEs, such as PyCharm, Android Studio, and IntelliJ IDEA. These integrated development environments provide powerful programming capabilities and help developers work effectively with various languages ​​and technologies.

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Explore our collection of materials to help you deepen your knowledge and broaden your horizons. We offer a variety of articles and resources on relevant topics that will be of interest to both beginners and experienced professionals. Don't miss the opportunity to check out our recommendations and tips to help you in your development. We are sure that everyone will find something useful for themselves.

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PyCharm: Installation and Use

PyCharm is a powerful integrated development environment (IDE) for the Python programming language. PyCharm installation is simple and is available for all major operating systems, including Windows, macOS, and Linux. To install PyCharm, visit the official JetBrains website, select the version suitable for your operating system, and follow the installation instructions.

Once the installation is complete, open PyCharm and create a new project. You can select an existing project or create a new one, specifying the necessary settings, such as the project name and its location on disk. PyCharm supports various versions of Python, so make sure you have the correct interpreter installed.

PyCharm offers many features that make the development process more convenient. These include code completion, built-in debugging, integration with version control systems, and support for various frameworks such as Django and Flask. Using these features, you can significantly speed up development and improve the quality of your code.

PyCharm also includes testing and profiling tools, allowing you to optimize the performance of your applications. Consider the available plugins, which can extend the IDE's functionality and tailor it to your needs.

In conclusion, PyCharm is an excellent choice for Python developers thanks to its multifunctionality and user-friendly interface. Install PyCharm and start using its capabilities to create high-quality and efficient Python applications.

Which language model to choose

Most modern IDEs for vibe coders offer several language models. However, it is not always possible to accurately determine which one is more efficient for working with code based on the model names. To evaluate the performance of various neural networks, we recommend using the LM Arena service. It compares how different language models perform on a variety of tasks and provides a list of the best ones. If you're looking for a language model designed for programming, be sure to select the Coding option in the filters.

If you've already mastered ChatGPT and don't want to waste time on alternative solutions from Google and Anthropic, we recommend considering the model proposed by Andrey Karpaty. This model can greatly simplify your work and increase productivity by providing more accurate and relevant answers to your queries. Choosing the right model will help you optimize your processes and get the results you need faster.

• GPT-4o — everyday questions and simple tasks.
• GPT-o3 — research, information retrieval, and complex tasks.
• GPT-4.5 — creativity and texts.
• GPT-4.1 — programming.

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7 Neural Networks for Programmers: Speed ​​Up Your Code Writing Process and Improve Its Quality

Modern technologies offer programmers a variety of tools to increase productivity. Neural networks are becoming an important assistant in software development, allowing you to write code faster and more efficiently. Below are seven neural networks that can significantly simplify the work of programmers.

1. Copilot from GitHub is a powerful tool that uses machine learning to automatically complete code lines and generate functions based on developer comments. This helps reduce the time spent writing routine code and improves the quality of the final product.

2. TabNine is a neural network that supports many programming languages. It learns from your code and offers smart hints, making the programming process more intuitive and faster.

3. DeepCode is an AI-powered code analyzer that identifies vulnerabilities and errors in your code. Its analysis capabilities help programmers write safer and higher-quality code.

4. Kite – A tool that integrates with popular code editors and offers smart auto-completion and coding recommendations based on context.

5. Codex by OpenAI – A powerful model that can convert text descriptions into code. This allows programmers to quickly implement ideas, minimizing writing time.

6. Sourcery – A refactoring tool that analyzes written code and suggests improvements to increase the readability and performance of the code.

7. Ponicode – A neural network that helps create tests for your code automatically. This significantly saves time on writing tests and improves software quality.

Using these neural networks allows programmers not only to speed up the development process but also to improve the quality of the code. These tools are becoming indispensable assistants in the world of programming, where speed and quality are crucial.

Vibe Coding in Action: Creating a Telegram Bot

Vibe coding is a concept that can be discussed endlessly, but the best way to understand it is through hands-on experience. In this tutorial, we'll create a Telegram bot that will accept a link to a GitHub repository from a user and provide information about it. The bot will send data such as the repository name, author name, number of stars, date of last release, and other important metrics to the chat. This is a great way to get acquainted with the functionality of the GitHub API and put your programming skills into practice.

We'll agree that we won't fix the code ourselves. If we find an error, we'll turn to a neural network to find a solution. Ultimately, we should have a working project that can be deployed to the server without any additional modifications. This will ensure the stable and efficient operation of our application.

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GitHub is a code hosting platform based on the Git version control system. It allows developers to collaborate on projects, track code changes, and manage versions. GitHub provides a convenient interface for managing repositories, making it a popular tool among programmers.

To start using GitHub, you need to create an account. Once registered, you can create repositories to store your code. Each repository can include different branches, allowing you to develop new features without affecting the main version of the project.

The main features of GitHub include the ability to make "commits" to save changes, "pull requests" to discuss and contribute changes to the code, and "issues" to track bugs and suggestions. You can also customize access to repositories by granting rights to other users.

GitHub supports integration with various tools and services, simplifying the development process. Using GitHub improves teamwork and simplifies project management, allowing developers to focus on writing high-quality code.

To install Cursor, visit the editor's official website, go to the "All Downloads" section, and select the file that matches your operating system. Several versions are presented on the page, and it is recommended to choose the latest one for optimal performance. Once the download is complete, run the installation file and follow the on-screen instructions to complete the installation.

When you first launch the system, you will be asked to sign in to an account or create a new one. You can use your email, Google, or GitHub profiles for this. At this stage, you also need to select a suitable pricing plan for using the service.

• Hobby is a free plan with two-week access to premium features. It only provides access to basic language models and a limited number of queries to advanced AI agents.
• Pro is a $20/month subscription that removes most restrictions and expands the context window for language models.
• Ultra is a $200/month plan with priority access to new features.

We recommend choosing a paid plan, as it provides access to an expanded set of language models, unlocks all editor features, and increases query limits. Please note that Cursor does not accept Russian bank cards, so you must use intermediaries to pay for your subscription.

Cursor's interface is similar to the Visual Studio Code editor. If you have experience with Visual Studio Code, you can easily create a project and set up an environment in Cursor. This tool provides an intuitive interface, making the development process more convenient and efficient. You'll be able to quickly adapt to the new features and capabilities Cursor offers thanks to its similarity to a popular editor.

Launch the Cursor app and select "Open project" on the main screen. In the file manager that appears, create a new folder for your project and select it.

In the second step, activate Agent mode in the chat window. This will allow Cursor to automatically edit and check the code. In addition, select the language model; In our case, we will use GPT-3.

Cursor is completely ready for use. All that remains is to formulate the prompt and send it to the chat for further actions.

We plan to create a Telegram bot, which will be easy to implement. It won't require a user authorization system, payment forms, or complex statistics collection mechanisms. The bot's main task is to accept a repository link and provide the user with the necessary information in response. This approach ensures fast and efficient interaction, making it a convenient tool for users.

Let's formulate a query to the language model to generate Python code using the Aiogram library. The most efficient way to retrieve data from GitHub servers is to use the official API. Taking these aspects into account, we'll create a prompt that will allow us to retrieve the necessary code.

Creating a Telegram bot in Python using the Aiogram library can be an excellent way to interact with users and retrieve information about GitHub repositories. Below is a sample code that accepts a GitHub repository link from a user and sends information about it in response.

«`python
import logging
import requests
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.utils import executor

API_TOKEN = ‘YOUR_API_TOKEN’

# Configure logging
logging.basicConfig(level=logging.INFO)

# Initialize bot and dispatcher
bot = Bot(token=API_TOKEN)
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)

@dp.message_handler(commands=[‘start’])
async def send_welcome(message: types.Message):
await message.reply(«Hello! Send me a link to the GitHub repository, and I'll provide information about it.»)

@dp.message_handler(lambda message: message.text.startswith(‘https://github.com/’))
async def handle_github_link(message: types.Message):
repo_url = message.text
repo_info = get_repo_info(repo_url)
if repo_info:
await message.reply(repo_info)
else:
await message.reply(«Failed to get repository information. Check the link and try again.»)

def get_repo_info(repo_url):
repo_name = repo_url.split(‘github.com/’)[-1]
api_url = f’https://api.github.com/repos/{repo_name}’
response = requests.get(api_url)

if response.status_code == 200:
repo_data = response.json()
repo_description = repo_data.get(‘description’, ‘No description’)
stars = repo_data.get(‘stargazers_count’, 0)
forks = repo_data.get(‘forks_count’, 0)
language = repo_data.get(‘language’, ‘Not specified’)
return f»Repository: {repo_name}\nDescription: {repo_description}\nStars: {stars}\nForks: {forks}\nLanguage: {language}»
else:
return None

if __name__ == ‘__main__’:
executor.start_polling(dp, skip_updates=True)
«`

This code creates a simple Telegram bot that responds to commands and accepts links to GitHub repositories. It retrieves repository information via the GitHub API and sends it to the user. Make sure you replace `’YOUR_API_TOKEN’` with your actual bot token.

This bot will be useful for users who want to quickly get information about GitHub repositories without visiting the site.

• repository name;
• author nickname;
• number of stars;
• number of subscribers;
• total repository size in KB;
• date and version of the latest release;
• license name.

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Creating Chatbots in Telegram using Python and the Aiogram Library: A Step-by-Step Guide to Developing Your First Bot.

In the modern world, chatbots have become an integral part of communication in instant messengers, and Telegram is no exception. Using the Python programming language and the Aiogram library, you can easily create your first chatbot. Aiogram provides powerful tools for interacting with the Telegram API, simplifying the development process.

In this guide, we will cover the basic steps for creating a chatbot in Telegram. You will learn how to register a bot through BotFather, install the necessary libraries, and write basic code for processing messages. We'll also discuss how to customize the processing of commands and responses to user messages.

Creating a Telegram chatbot in Python using Aiogram opens up vast opportunities for automating tasks, increasing user engagement, and improving customer service. Start your journey into the world of bot development today, and you will be able to create unique solutions for various problems.

We passed this request to the neural network, and it generated the following code files:

• bot.py - the main bot file with all its functions;
• requirements.txt - project dependencies;
• README.md - instructions for launching the bot;
• env.example - an example of implementing a virtual environment variable for the bot token.

The code appears correct, but when running it in the terminal, numerous errors are displayed. To fix them, we can use the language model. To do this, copy the terminal output and enter the command "Fix errors" in the chat. After each fix, we run the code again, record any errors that arise, and repeat the process, turning to the model for help.

It took us three iterations of edits to fix the errors in the terminal. Now we're ready to launch the bot and test it in Telegram.

The bot successfully processes links and provides information from project pages on GitHub. It ensures the accuracy and relevance of data, allowing users to efficiently obtain the necessary information about projects.

The neural network developed scenarios that were not specified in the original request. For example, if a user sends the bot a link to a non-existent project, the system will display an error message and suggest possible actions to resolve the issue. This improves user experience and makes it more efficient.

The code for the created Telegram bot is available in our GitHub repository. You can study it or run it on your computer. If you want to deepen your knowledge of Telegram bot development, we recommend checking out our detailed guide.

Read also:

Telegram Bot API: A Guide for Bot Developers

The Telegram Bot API provides developers with a powerful tool for creating bots that can interact with users and perform various tasks. This API makes it easy to implement bots for automating processes, conducting surveys, providing information, and much more.

The Telegram Bot API's core capabilities include sending and receiving messages, managing groups and channels, and integrating with external services. Developers can use various API methods to create interactive interfaces, process commands, and send notifications.

To get started with the Telegram Bot API, you need to create a bot through BotFather, which will provide a unique access token. This token is used to authenticate requests to the API. Telegram's documentation contains a detailed description of all available methods, simplifying the development process.

Creating a bot using the Telegram Bot API opens up a wide range of opportunities for businesses and individual users. Bots can significantly simplify customer interactions and improve work efficiency. Bot development is becoming accessible to programmers of all levels, thanks to its ease of use and extensive community support.

In conclusion, the Telegram Bot API is an essential tool in the developer's arsenal, allowing them to create innovative communication and automation solutions.

The Pros and Cons of Vibe Coding

At first glance, vibe coding seems like an ideal solution For developers: it allows you to reduce coding time, reduce workloads, and even work across multiple companies simultaneously. However, like any method, vibe coding has its pros and cons. It's important to consider these aspects when choosing a development approach to optimize your workflow and achieve your desired results.

Removing routine tasks with artificial intelligence. An agent can perform small but labor-intensive tasks that require significant attention and can cause fatigue. For example, neural networks effectively handle bug fixing, optimizing individual code fragments, and documenting projects. Using such technologies allows you to focus on more important aspects of your work, increasing overall productivity and the quality of your work.

Testing ideas for startups and pet projects. When an idea with the potential to become a successful startup emerges, using AI agents allows you to quickly create a prototype and test it. During testing, if changes are needed, the neural network will effectively handle these tasks. This significantly speeds up the development process and allows for faster adaptation to market demands.

An ideal solution for those with a humanities background. Previously, creating even a simple website required mastering the basics of JavaScript, HTML, and CSS, as well as a lot of practice. Today, artificial intelligence can significantly simplify the development process by providing assistance with coding and automating routine tasks. This opens up new opportunities for people without a technical background, allowing them to focus on the creative aspects of web design and content.

Data security is an important aspect for many companies, and therefore some prohibit the use of their project code in language models. This is due to the risk of information leakage that could fall into the hands of intruders. If you plan to use vibe coding as part of your work, be sure to check with your management or information security department about the restrictions and rules. This will help avoid potential threats and ensure the protection of your data.

The capabilities of neural networks continue to expand. Modern language models are capable of generating websites, developing mobile applications, creating terminal utilities, and performing many other tasks. However, neural networks currently face challenges when implementing large-scale projects such as social networks, complex games, and online stores. Despite this, the technology continues to evolve, and their ability to handle more complex projects can be expected to improve in the future.

Hallucinations in language models are a problem in which algorithms generate incorrect data or distort existing information. For example, neural network models may mention non-existent libraries, APIs, and frameworks in their responses. Therefore, it is important to carefully check the generated code and facts to avoid errors and misunderstandings. Information validation helps ensure the accuracy and reliability of the results obtained from language models.

Tips for a Vibe Coder

To ensure that neural networks consistently generate the desired content, it is necessary to adhere to several key rules. First, formulate clear and specific requests so that the system can accurately understand your idea. Second, use examples and context to help the neural network better interpret your intentions. Third, regularly refine and adapt your requests based on the results obtained, which will improve the quality of generation. Following these recommendations will ensure more accurate and high-quality completion of the assigned tasks.

• Describe the project in as much detail as possible: list the technologies that can be used, describe the functions, output format, code and security requirements. The more input, the more accurate the result will be. Otherwise, the neural network will simply invent missing items from the technical specifications, and the result will be disappointing.
• If possible, use paid plans. They have no limits on context size and the most powerful language models are available.
• Divide complex tasks into small, logically complete pieces. For example, first ask for the layout of the main page, and then add a login form and connect a payment processing service.
• Always check the generated code. Even production code can contain critical bugs. Remember that neural networks were trained on code from ordinary people, who often make mistakes.
• If the language model isn't handling the task, try changing it in the editor settings. For example, DeepSeek can help ChatGPT if it's stalled.

What to remember

• Vibe coding is a programming approach in which the developer writes code using neural network agents. The term was coined by OpenAI co-founder Andrey Karpaty in early 2025.
• The essence of vibe coding is that instead of code, the developer writes instructions in natural language, and a machine learning model generates code, divides it into modules, fixes errors, and optimizes functions.
• Neural networks are suitable for routine tasks, test projects, and simple code.
• Language models often hallucinate, so be sure to check the generated code.

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Read also:

• 30 powerful neural networks for any task
• Prompts for neural networks: how to write queries to ChatGPT and other neural networks
• TensorFlow library: writing a neural network and studying the principles of machine learning