UNIT.City — місце, де люди працюють... КРАЩЕ! Обирай свій простір просто зараз 👉
Олег ОнопрієнкоAI Eng
24 May 2025, 11:19
2025-05-24
Top 10 AI tools for vibecoding that bring back the excitement of development
In 2025, coding is no longer limited to mechanical typing of characters. With the new wave of AI tools, the phenomenon of «vibecoding» has emerged — a state when code is written easily, intuitively, with a buzz. dev.ua has prepared a selection of the 10 best tools that help developers enter this state of flow.
In 2025, coding is no longer limited to mechanical typing of characters. With the new wave of AI tools, the phenomenon of «vibecoding» has emerged — a state when code is written easily, intuitively, with a buzz. dev.ua has prepared a selection of the 10 best tools that help developers enter this state of flow.
Content
Cursor
Cursor is a code editor built on top of Visual Studio Code, with deep integration of the capabilities of the large language models GPT and Claude. Cursor allows developers to use natural language to perform complex operations on code. By highlighting a piece of code, the user can enter a query such as «optimize this algorithm», «add typing», or «convert this code to functional style». The editor analyzes the query and provides the corresponding modified code.
Integrated AI models (GPT and Claude) provide smarter code completion that takes into account not only syntax, but also semantics and project context. This allows you to speed up the code writing process and reduce the number of manual operations.
Cursor is able to generate new code snippets based on textual descriptions. The user can describe the desired functionality, and the editor will suggest the corresponding code, including the necessary imports and basic logic.
Cursor can provide detailed explanations of highlighted code snippets, which is useful for understanding complex or unfamiliar code. The editor has built-in support for Git version control systems, which makes it easy to work with repositories directly from the interface.
Because Cursor is based on VS Code, it retains a familiar interface, supports most extensions, and customizations, making it an easy transition for existing VS Code users.
Cursor has several subscriptions with different pricing policies and functionality:
Free version — basic functionality based on GPT-3.5, 2000 completions, limit of 50 requests.
Pro Plan — from $20/month provides access to GPT-4 Turbo, unlimited completions, 500 queries per month.
Business — from $40/month, privacy mode, centralized team billing, access to the admin panel with usage statistics, SAML/OIDC SSO.
Continue
Continue is an extension for Visual Studio Code that integrates an AI assistant directly into the development environment. Its main functionality is to provide contextual assistance to the developer through a chat interface and automate routine code-related tasks.
As with Cursor, the user can highlight an incomprehensible piece of code and ask Continue to provide a detailed description of its functionality, variable assignments, and execution logic.
Continue can automatically generate unit tests based on current code, which helps improve the quality and reliability of your software. The extension offers capabilities for automated code refactoring, such as renaming variables, isolating functions, or simplifying complex areas.
Continue supports the use of locally deployed language models, such as Ollama, which ensures code privacy and independence from cloud services.
Pricing policy Continue:
For solo developers, it is completely free, allowing you to create personalized AI assistants with their subsequent integration into VS Code and JetBrains.
Team plan — from $10/month, the same benefits as the free plan + centralized management of private AI assistants and additional protection through authorization and proxy for using API keys without disclosing them.
Business — price is discussed separately, has the advantages of cheaper plans + authentication via Enterprise SSO (SAML/OIDC), local proxy for data isolation.
Windsurfing
Windsurf is a rebrand of one of the fastest autocomplete assistants, Codeium. Previously, Codeium was an extension for VS Code, JetBrains, and other IDEs that provided autocomplete and AI suggestions. Now, Windsurf is a full-fledged AI with an integrated development environment, built from the ground up for deep integration with AI assistants and agents.
Windsurf provides real-time, context-sensitive code suggestions, supporting over 70 programming languages. Its Supercomplete feature analyzes the context of the code before and after the cursor to more accurately predict next steps.
An integrated chat interface called Cascade allows you to ask questions about the codebase and get explanations for complex pieces or general programming principles. Windsurf stores information about previous development sessions and the environment used (packages, tools) to provide more relevant suggestions.
Last week, it became known that OpenAI acquired Windsurf for $3 billion, the largest in the company’s history.
Windsurf has already announced the launch of new models, the SWE-1, which should compete with the Claude 3.5 Sonnet, GPT-4.1 and Gemini 2.5 Pro.
Windsurf pricing policy:
The free plan offers a two-week trial, which includes 25 prompt credits on the SWE-1 Lite model, deploying one project per day.
Pro — from $15/month provides 500 prompt credits, five deployments per day.
Team plan — from $30/month, the same as Pro + access to the admin panel and priority support.
Business — from $60/month, has the benefits of cheaper plans + 1000 prompt credits.
Sweep
Sweep is a GitHub agent that takes an issue and generates a pull request on its own. It analyzes what needs to be changed and suggests clean, logical code. Sweep’s purpose is essentially to automate routine tasks.
Sweep can be configured to monitor new issues in the repository. It analyzes the problem description and automatically plans the necessary code changes. Based on the issue analysis, Sweep automatically generates a pull request with the code that solves the problem or implements the requested functionality.
Sweep can automate tasks such as writing tests, improving documentation, refactoring code, fixing bugs, and updating code style.
Sweep pricing policy
Free — a free plan with a limited number of chats (75) and the use of autocomplete.
Pro — $20/monthwith more chats (500) and enhanced autocomplete capabilities.
Cody by Sourcegraph is an AI assistant designed to help developers understand, write, and debug code. It features deep integration with the codebase to provide contextually informed answers and suggestions.
Cody analyzes the entire repository, both local and remote, to provide answers and suggestions that take into account the structure, API, symbols, and code usage patterns across the entire project.
Users can ask Cody questions about the codebase in natural language, receiving structured answers based on the context of the relevant files. There is the option to specify specific files to provide context.
Cody provides a set of ready-made prompts for common tasks such as documenting code, explaining snippets, and generating unit tests. Users can create and save their own prompts.
Cody currently supports various major language models, including: Claude 3.5 Sonnet, Gemini 1.5 Pro, Mixtral, and in the paid version of Cody Pro — Claude 3 Opus and GPT-4o. In addition, the AI assistant is available as a plugin for popular IDEs such as VS Code and JetBrains
Cody pricing policy:
Free — a free plan for one user with a limit of 200 chats and a limited number of available language models, there is an option to upgrade the plan to the Pro level for $9/month.
Enterprise Starter — $19/monthunlimited number of chats, support for up to 50 users, more language models.
Enterprise —$59/month, all the benefits of Starter with an emphasis on support.
Codex
Codex is a large language model developed by OpenAI, which is an improved version of GPT-3, specifically trained on a large amount of code and natural language. Its main function is to generate code based on natural language queries.
The model is trained on a wide range of languages, including Python, JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, and Shell. It performs best with Python. Codex is used to provide intelligent code completion in various IDEs, such as GitHub Copilot.
Codex can be used to detect and fix simple errors in code, as well as perform basic refactoring.
Codex does not yet support image input for front-end development, and users cannot intervene during a task. OpenAI expects future versions to be able to engage in more complex, asynchronous collaboration, with agents capable of handling advanced, multi-faceted tasks.
Codex pricing policy:
The AI agent is already available for ChatGPT Pro and Enterprise users, and will later be available for Plus users.
Pro — $200/month.
Business —individual pricing.
Opus 4
Claude Opus 4 is a new language model developed by Anthropic. The company claims that Opus 4 is the most powerful language model and backs up its claims with benchmarks. According to tests, the model is the leader among coding models, showing the highest results on SWE-bench (72.5%) and Terminal-bench (43.2%).
The model is capable of maintaining high performance over multi-hour sessions involving thousands of steps required for complex projects, significantly exceeding the capabilities of previous Claude Sonnet models.
When providing access to local files, Opus 4 efficiently preserves key information, improving long-term consistency and performance in agent tasks.
A new feature in Claude 4 is «reasoning summaries,» which condense chatbots’ reasoning processes into easy-to-understand insights. The beta also launches an «extended thinking» feature that lets users switch models between reasoning modes or use tools to improve performance and response accuracy.
Opus 4 pricing policy:
Claude Opus 4 and Sonnet 4 are available on the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI platform, and both models are included in Claude’s paid plans along with the beta feature of augmented thinking. Free users only have access to Claude Sonnet 4 for now.
Pro —$17/month.
Max —$100/month.
Warp Terminal
It’s a modern AI-assisted terminal that explains commands, saves blocks, lets you rerun previous actions, and looks like a designer product.
Each command and its output are encapsulated in a separate block, making it easy to navigate, copy, and share results. Built-in AI helps find commands based on natural language descriptions, explains errors, and suggests solutions to problems.
Warp allows you to share terminal sessions in real time for collaborative debugging, training, or monitoring of long-running processes.
The built-in Editor allows you to edit configuration files or other text directly in the terminal. Terminal sessions can be shared in real time for collaborative debugging, training, or monitoring of long-running processes.
A feature for saving and organizing frequently used commands in the form of Workflows with the possibility of parameterization. Also supports the creation of interactive Notebooks for documenting processes.
Warp Terminal pricing policy:
Free —150 AI queries, access to 10 Workflows and three Notebooks, 5 real-time sessions.
Pro —$15/month, 1000 AI queries, unlimited Workflow and Notebooks, unlimited real-time sessions.
Turbo — $40/month, 3000 AI queries.
Enterprise —individual pricing, all bonuses of previous levels + personal support via Slack, SAML/OIDC SSO.
Reply
Replit is a cloud-based integrated development platform that provides users with an environment to write, execute, and deploy code without the need to install software locally.
Replit runs entirely in a web browser, making it accessible from any device with an internet connection. Replit simplifies the process of deploying web applications and websites with a few clicks without complex configuration. The built-in code editor features syntax highlighting, basic auto-completion, and other standard IDE features.
Built-in Git support lets you manage code changes, connect GitHub repositories, and perform basic version control operations. Replit allows multiple users to work on the same project simultaneously, observing each other’s changes in real time.
The platform supports over 50 programming languages, including popular options like Python, JavaScript, Java, and C++.
Replit pricing policy
Free —The free version allows you to upload up to 10 projects.
Core —$20/month, unlimited project downloads, access to Claude Sonnet 4 and OpenAI GPT-4o.
Teams — $35/month, ability to deploy private projects.
Enterprise —individual pricing, all bonuses of previous levels + personal support, SAML/OIDC SSO.
Devin 2.0
Devin 2.0 is an evolution of Cognition AI’s autonomous AI agent designed to assist in software development. It is a cloud-based integrated development environment where multiple parallel agents can work on different parts of a project simultaneously.
Devin 2.0 is capable of analyzing codebases, identifying issues, suggesting fixes, and even executing solutions on its own without direct human intervention.
Supports running multiple parallel Devin sessions, each with its own isolated cloud IDE. This allows you to handle different project tasks simultaneously.
The user can provide a general idea, and Devin quickly identifies relevant files and develops a preliminary plan of action. The plan can be modified to align with the developer’s intentions.
An AI agent automatically indexes repositories, creating detailed wikis with architectural diagrams, source links, and documentation. Updated every few hours.
Devin 2.0 pricing policy:
Core —Pay-as-you-go, support for up to 10 simultaneous sessions, autonomous task execution, Devin IDE.
Team — $200/month, access to API, receiving new features before public access.
Enterprise —individual pricing, all bonuses of previous levels, the ability to create custom «Devins», personal support, SAML/OIDC SSO.
We’ve reviewed just ten of the best AI assistants for programming. Each has its own unique benefits and approach to optimizing the coding process. Choosing the perfect assistant depends on your individual needs, habits, and technology stack.
And what tools do you prefer? Do you have any AI assistants in your arsenal that help you catch the same coding vibe? Share your experiences in the comments.
«This leads to severe degradation and laziness.» Ukrainian programmers shared the secrets of effective vibe coding and the «side effects» of using AI when creating code
«Чи є у мене талант, якщо комп’ютер може імітувати мене?». Штучний інтелект пише книги авторам Amazon Kindle. The Verge поспілкувався з авторами та виявив багато цікавого
Письменники-романісти використовують штучний інтелект для створення своїх творів. Видання про технології The Verge поспілкувалося з письменницею Дженніфер Лепп, яка випускає нову книгу кожні дев’ять тижнів, й дізналося про те, як працює штучний інтелект для написання романів. Наводимо адаптований переклад статті.
Have important news to share? Message our Telegram bot
Key events and useful links in our Telegram channel
Comment hidden for violating commenting rules.