10 vibe coding tools for building better experiences

Learning to code can be a huge undertaking, from learning different languages and frameworks to mastering syntax and debugging to get a final result that works. Vibe coding tools ease that lift by turning natural-language prompts into working code. That means designers can bring ideas to life, newer developers can learn by doing, and experienced engineers can move faster and focus on bigger problem-solving.

According to Figma’s 2025 AI report, over two-thirds (68%) of developers use prompts to generate code—a strong signal that this workflow is becoming the norm. While there is still some skepticism, vibe coding tools aren’t here to replace human software developers. Instead, they exist to support them. The best vibe coding tools can help engineers ship faster, experiment more, and do more with fewer resources.

Read on to learn:

• What vibe coding is
• 10 of the top vibe coding tools
• What to look for in a vibe coding tool

What is vibe coding? And why it’s here to stay

Vibe coding is an approach to software development that uses natural language prompts to generate code with the help of large language models (LLMs). Whether you’re drafting a user interface (UI), prototyping a feature, or building an entire app, vibe coding helps teams move from idea to execution faster—no manual scripting required.

Developers often use the term “vibe coding” to describe any AI-assisted coding that blends creative input with generative output. Vibe coding tools can significantly speed up the parts that slow teams down, so you can focus on what matters most: shipping better products faster.

Read on to learn more about the top vibe coding tools and see which could help your team improve their development process.

1. Figma Make

Ideal for: Cross-functional product teams

Figma Make helps you turn ideas into working, code-backed prototypes—no engineering background required. It connects directly to your Figma Design files, so you can generate a polished, professional UI design that looks and feels like the real thing from the start. This leads to better feedback, earlier validation, and internal alignment from the start.

Figma Make gives you flexible ways to build. Use prompts to generate layouts quickly, or fine tune every detail with drag-and-drop editing. You can even go deeper and edit the code directly, all in one place.

Key features

• Design systems integration
• Multi-modal editing
• End-to-end workflows
• Enterprise readiness

2. Lovable

Ideal for: Non-technical founders wanting fast, prompt-to-app generation

Lovable is a solid pick for beginner vibe coders and early-stage builders who want to go from idea to app fast. It generates frontend, backend, and database structures from a single prompt. It’s especially useful for solo founders or non-technical teams that need something functional to test or share quickly but don’t have the resources of a large rapid prototyping tool or a development team.

Because it supports rapid iteration, you don’t need a perfect spec to get started, just a direction.

Key features

• Full-stack generation allows for small teams to work on more advanced projects
• Large template library to browse for inspiration or to jump-start project
• Supports low-fidelity imports for Figma via Builder.io
• Integrates with project management tools for additional context

3. Cursor

Ideal for: Developers who want AI assistance while writing real code

Cursor is the AI-native offshoot of VS Code that acts like a coding partner built into your editor. It’s best-suited for developers who already know their way around code but want a faster way to refactor files, fix bugs, or make improvements. Think of it like an AI coding assistant that’s an expert in your codebase.

While it’s not built for beginners, Cursor shines when working inside complex codebases. The AI understands context and can take on specific tasks, making it easier to move from edits to implementation while keeping momentum

Key features

• AI-powered integrated development environment (IDE) with existing codebases
• Delegate coding tasks the Cursor coding agent
• Full compatibility with VS Code extensions
• Context-aware suggestions based on your codebase

4. v0 by Vercel

Ideal for: Teams wanting full-stack prototypes hosted on Vercel

v0 is Vercel’s vibe coding tool that helps teams generate clean, functional user interfaces from simple prompts. It’s great for users with very little knowledge of UI design principles and it’s especially useful for quickly translating ideas into working UI, even without detailed visual direction.

Although v0 is a powerful tool for frontend development, it lacks backend capabilities, which could cause issues when it’s time to add logic and connect a database to create a fully functioning project. It also only creates React components, which may be an issue for those working in other frameworks.

Key features

• Uses multiple LLMs intelligently based on input
• Imports Figma files to create high-fidelity prototypes (although they’re recreated and not design system accurate)
• Advanced interactive development features enable users to add more complex features to their code
• Tight integration with Next.js and Vercel

5. Replit

Ideal for: Beginners learning to code quickly with AI assistance

Replit offers a strong starting point for users who need a way to generate, test, and debug code using natural language prompting. It supports a wide range of languages, allowing users to work on various types of projects, even with little to no fluency.

This makes Replit a great tool for developers looking to expand their knowledge as well, allowing them to explore new languages and frameworks with support from AI coding assistants.

Key features

• Replit Agent generates and modifies full-stack applications
• Built-in IDE with mobile support
• Extended Thinking and High Power model options for complex coding tasks
• Supports natural language prompting

6. Claude Code

Ideal for: Developers wanting conversational code assistance with high reasoning accuracy

Claude Code is a unique vibe coding tool capable of using complex reasoning and logic to generate unique code, rather than auto-completing code based on pattern recognition. This makes it a top choice for more intensive tasks, like large-scale refactors.

Along with advanced reasoning and explanations that can help less experienced engineers perform and learn about more complex coding tasks, Claude Code is also thoughtfully designed. It integrates with terminals, local file systems, and Git workflows to make work easier without learning an entirely new process.

Key features

• Powered by Anthropic’s models for complex reasoning and logic
• Integrate with local terminals, file systems, and git workflows
• Capable of completing large-scale refactors

7. Gemini Code Assist

Ideal for: Developers wanting AI-assisted coding tied to Google Cloud tools

Gemini Code Assist’s main draw is its massive context window of up to 1 million tokens. This enables it to scan large codebases and use complex reasoning that other tools can’t effectively handle. Agent Mode is also powered by Model Context Protocol (MCP), so it can access real information and use context beyond what you’ve provided via prompting.

It also offers multi-modal capabilities that generate code, logs, and documentation simultaneously. This ensures that any generated code is accessible when software developers hop in to maintain it or make essential updates.

Key features

• Fully integrated into the Google Cloud and Google IDE ecosystem
• Zero-data retention policy
• AI agent for refactoring, code generation, and debugging

8. GitHub Copilot

Ideal for: Developers wanting autocomplete-style AI pair programming

GitHub Copilot works differently from other vibe coding tools. Although it has code-generation capabilities, its chat feature works better as a coding collaborator than as a sole creator. It’s primarily an autocomplete-style tool that works within your code editor as you type, with a chat feature that can help you when you’re stuck or provide suggestions to improve your code.

Its strengths lie in pattern recognition and anticipating next steps, making it great for ideating, speeding up boilerplate code, or unblocking tricky logic. It’s not a full-stack generator, but it’s a great learning tool for newer developers since they can consult the chat for new strategies and code improvements to improve their AI coding skills.

Key features

• Copilot Workspace for brainstorming and creating specifications using natural language prompting
• Strong IDE support in VS Code, Visual Studio, JetBrains, and Vim
• Copilot Chat provides information and recommendations
• Works within GitHub ecosystem for optimized pull requests and command-line interface (CLI)

9. Bolt

Ideal for: Browser-based coding with no setup

Bolt is a browser-based vibe coding tool designed for speed. With no setup required, it runs locally in your browser so you can go from prompt to deployed app quickly. It’s best suited for generating minimum viable products (MVPs), internal tools, or early-stage experiments.

Bolt acts like a smart project manager for your code. Instead of you manually setting up software or typing complex commands, the AI automatically pulls in the necessary building blocks (like styling libraries or UI components) to assemble a functional app from scratch based on your instructions.

Key features

• Browser-based vibe coding tool
• Instant full-stack deployment
• High speed to create usable code

10. Windsurf

Ideal for: Developers who want a full AI-native IDE that supports both code generation and dev-to-deploy workflows

Windsurf is a full-featured, AI-native IDE built for developers who want deeper collaboration with their coding agent. It’s designed around “flows,” which track edits, terminal output, and cursor behavior to keep the AI in sync with what you’re doing in real time.

It also uses “Supercomplete,” an advanced form of code-completion that predicts several steps ahead, offering more than just line-by-line suggestions. Although this tool is powerful, it’s probably best suited for engineers with some experience navigating full-stack projects.

Key features

• Cascade Agent with high reasoning capabilities an ability to edit files across the codebase
• Multi-language and framework support
• “Supercomplete” uses advanced logic for better autocomplete decisions

What to look for in vibe coding tools

Vibe coding is changing how expert software developers work, not replacing them. No tool can generate completely error-free usable code without some level of intervention from software engineers, so it’s better to think of vibe coding as a way to boost efficiency and the overall quality of your team’s work.

Here are the most important qualities you should look for when working with a new vibe coding tool.

Reliable outputs

This seems like a no-brainer, but it’s important to thoroughly test a vibe coding tool before scaling its use across teams or an entire business. You may have experienced an AI tool answering your first query perfectly, but creating more errors as the chat goes on. Unfortunately, it’s a common issue with unreliable tools.

Make sure to test each tool to ensure it follows your directions, creates code that works, doesn’t hallucinate key information like non-existent codebases, and is free from syntax errors.

Strong privacy policies

If you’re building anything sensitive, always check how the vibe coding tool handles data. Look for zero-data retention policies, and double-check that your code and inputs aren’t being used to train new ​​models. This is especially important when working with proprietary or user data.

Effective code completion and suggestions

For collaborative vibe coding tools, check the quality of code completions and suggestions. This takes a keen eye from a software engineer with experience, but they should test that the suggested code works and that the tool accurately predicts what they’re trying to achieve.

Testing capabilities

Not every vibe coding tool can conduct code testing, but this feature can streamline your team’s tasks and help them find the trickiest bugs in less time. Look for tools that can generate tests for functionality, accessibility, and security to streamline the product development process.

Document generation

Document generation should be a requirement for any vibe coding tool. Your software engineers will have a very difficult time understanding and maintaining code without the essential context from documents, README files, and comments.

Launch your next product with Figma Make

Take advantage of the latest vibe coding tools, whether you’re using them to generate a quick prototype or find inspiration for a new app layout.

Here’s how Figma can help.

• Turn natural language prompts into working code with Figma Make.
• Use Dev Mode to automatically translate Figma design files into working code for your favorite agentic coding tools.
• Make a responsive website on Figma Sites using an intuitive, drag-and-drop interface.