Vibe coding is a new way to produce code using AI. You describe your software idea in plain English and AI helps you code. This means everyone can build apps even if you have no coding skills. In this post we’ll explain how vibe coding works, the benefits and the tools to get started.
Understanding Vibe Coding
Vibe coding introduces a new way of building software with AI tools and their capabilities.
This approach prioritizes the idea over writing code by hand and is attributed to Andrej Karpathy’s thinking, he’s an ai expert. Vibe coding has changed the way we build software, so anyone can express their idea clearly and simply and anyone can build working apps by using this vibe code approach.
Vibe coding stands out because of its simplicity and conversational dialogue flow where you refine your input as you work with AI to achieve your intent.
The software development landscape is shifting, moving away from expert-only approaches to more accessible, user-friendly methods. With the rise of low-code/no-code platforms and AI-assisted tools, people without technical skills now have the power to turn ideas into prototypes quickly.
This new era in development allows for rapid prototyping and innovation while still leveraging human creativity.
- Accessibility: AI and low-code/no-code platforms make software development more accessible to people without technical skills.
- Empowered creativity: These tools allow individuals to bring their ideas to life quickly, fostering innovation.
How AI Generates Code
AI generated code is a sign of how far we’ve come in technology, using machine learning and natural language processing to generate code on its own. By reading natural language prompts, these AI systems can understand what you want and generate the corresponding code.
This makes coding more accessible and much more efficient and accurate in software development.
AI enabled coding tools do more than just generate code. They give you suggestions to improve and refactor existing code based on best practices. This means the output isn’t just working but also well optimized.
Big win for non developers as it simplifies complex programming tasks and helps fix issues and boost productivity with AI.
As an AI pair programmer, AI generates actual working code that matches what you imagine. Along with human imagination, this helps to streamline the development process and cut down the time it takes to turn ideas into working software.
With AI in their toolkit, developers can focus on creative solutions and let the AI handle the boring parts of their work.
Tools for Vibe Coding
Many platforms have emerged to support vibe coding, each with their own set of features to help with this new way of working. Key ones are Cursor, Replit, Lovable.ai and GitHub Copilot.
These tools give you a seamless and user friendly coding environment with features like real time rendering, undo and one click deploy. This makes it super fast to turn ideas into functional code in under 24 hours for app development.
Cursor
Cursor is an AI powered code editor that helps you code faster by allowing you to write and edit code using natural language commands. It integrates with VS Code so you get the environment you’re used to and those without technical expertise can participate in coding tasks.
The different modes in Cursor allow for different levels of autonomy in coding, so you can choose precise guidance or more freedom when coding.
This allows you to articulate your ideas and needs for coding at this moment in plain language, creating an inclusive and team friendly development environment. In this case documentation is key.
Replit
Replit is for people who don’t code. We provide an environment for you to build apps without the complexity of programming. By having a simple interface, we let you focus on bringing your ideas to life and not worry about the details of the programming language. That’s why Replit is the go to for building apps without needing deep technical skills.
By adding AI, we enable non developers to automate many coding tasks which leads to more creativity and productivity.
The platform lets you turn simple language instructions into fully working apps that can run tasks - perfect for spinning up weekend projects or tackling bigger projects.
Lovable.ai
Lovable.ai lets you describe your idea in your own words and it turns it into a full blown application design. This way you can create applications much faster as you can just describe the features in plain English.
Lovable.ai takes care of the back-end services like database and API connections so you get a full development experience.
A key feature of Lovable.ai is that you get to own the generated code and it integrates seamlessly with GitHub. This means you can modify and improve your projects, combining AI convenience with the control of traditional coding.
GitHub Copilot
GitHub Copilot is an AI coding assistant that integrates with GitHub to make development easier. It gives developers recommendations and auto-completions to make coding more fun and less boring.
By the power of AI, developers can focus on the creative and tricky parts of their work and let AI handle the boring coding.
The partnership between developer expertise and machine capability means the code produced is not only working but finely tuned for performance, so you get more done.
Codeium
Codeium is a free AI code generator that works with many IDEs and supports 70+ languages. Fast, lightweight and focused on productivity. Autocomplete, natural language prompts and inline documentation generation for both beginners and pros to get unstuck and stay in flow.
What sets Codeium apart is its speed and privacy-first approach — perfect for developers who want AI assistance but don’t want to share sensitive data.
Its flexibility and wide IDE support makes it great for teams using multiple stacks.
Tabnine
Tabnine is an AI code completion tool used by many and supports multiple IDEs and languages. It uses machine learning models trained on open-source code and provides real-time code suggestions, completions and documentation hints — just like Copilot and Codeium.
What’s special about Tabnine:
- Privacy-first: Great for teams that want local models or self-hosted options.
- Enterprise-ready: Features for team collaboration, code consistency and secure environments.
- Fast & lightweight: Smooth performance across all development environments.
Popular in companies that have high security requirements or want fine-grained control over how AI is used in their development workflows.
From Manual Coding to Functional Software in Less Than a Day
The power of vibe coding lies in how fast you can go from an idea to functional software—no more tedious manual coding or the need to copy paste stuff from forums and Stack Overflow.
Thanks to AI-assisted workflows, you can create software that actually runs stuff with just a few refined prompts. Whether you're building a prototype for your startup or just spinning up a throwaway weekend project, AI tools enable you to do it in less than a day.
Even AI researchers are now exploring vibe coding as a legitimate evolution in development, not just a productivity boost. Instead of getting bogged down by boilerplate code, you can now focus on what matters—your unique idea and how it works in the real world, and you can test it effectively .
This shift is redefining the entry point for building applications, allowing more people than ever to participate in creating software that’s clean, scalable, and efficient.
The Benefits of AI-Assisted Coding
So, what’s the point of all this?
AI-assisted coding helps developers become more productive by automating repetitive tasks, allowing them to focus on the more challenging and creative aspects of software development. By speeding up code production and reducing errors, AI tools can enhance project completion times and improve the quality of software.
This blend of human expertise and automation ensures that developers can focus on innovation while leaving mundane tasks to AI.
- Increased productivity: AI automates repetitive tasks, freeing up time for more complex problem-solving.
- Faster project completion: AI tools help speed up the development process, allowing quicker software delivery.
- Error reduction: AI detects patterns and irregularities, minimizing human errors in the code.
- Bug identification and security: AI analyzes large codebases to spot bugs and suggest fixes, improving software security.
- Enhances teamwork: By automating mundane tasks, AI allows developers to focus on high-level problem solving and innovation.
Vibe Coding Challenges
While vibe coding makes software development faster, if you don’t have a solid foundation in programming principles you’ll end up with subpar code. You need to test your app after every update to proactively find and fix bugs which is what you do in traditional development. That way code gets scrutinized.
The concept of technical debt arises as another issue. This is the danger of standardized solutions and less innovation from relying too much on AI tools.
As more people create apps with AI help, there’s a fear they might do so without understanding how these systems work under the hood – and potentially create more reliance on AI for troubleshooting and create two paths for developers.
For organizations to succeed in vibe coding software development, you need to cultivate skills in high velocity coding and meticulous engineering practices. Adding new features can break existing ones.
So clear communication about the problems with the underlying AI system is necessary.
Consistent attention must be paid to maintenance challenges to preserve quality and performance when using vibe coding.
Vibe Coding in Real Life
Startups are using vibe coding to quickly build and iterate on their minimum viable products and get to market faster. Inside larger companies, vibe coding is being added to enterprise platforms to create and automate boring programming tasks so engineers can focus on more complex system design.
In creative areas like UI/UX, developers are using vibe coding alongside AI to make design changes that follow the rules.
Replit’s AI lets people without coding experience turn text descriptions into working apps. Agencies like Deduxer specialize in building digital solutions with no-code principles and AI logic.
This includes perfect landing pages for customer engagement, lead generation systems for efficiency, full-stack software creation services – all to build MVPs and prototypes fast.
They build scalable web and mobile apps with high conversion rates and automated processes and AI-powered UX designs.
Vibe coding is being used across multiple industries and that’s a proof of its flexibility and effectiveness in changing the way software is built. This is the future of codebase and code creation across industries by showing many practical use cases.
The Future of Vibe Coding
Vibe coding is the future of programming where we use natural language to write code.
By 2025 AI will be writing up to 90% of all code and we will rethink how we develop software, requiring a deep understanding of coding principles .
This will create a divide among developers – those who get the basics and those who don’t. To navigate this new world we need to find a balance between using AI tools for development and having an in-depth understanding of software engineering principles to avoid any roadblocks.
Vibe Coding Best Practices
Companies should be building a combination of rapid vibe coding and established engineering skills to produce solid software. As the role of a software engineer evolves, there will be more emphasis on learning advanced concepts over simple coding tasks.
When formulating prompts for AI assistance, be clear and detail actions, inputs and sequences so your instructions are understandable. Start with a simple prompt so you don’t confuse the AI. Then you can add more complexity as you go and refine your application.
Be patient during the vibe coding phase as it often takes multiple attempts to get it right.
With AI becoming more and more embedded in development workflows, companies need to invest in AI-assisted training programs for new hires and upskilling existing talent. Follow these best practices to make sure vibe coding is sustainable long term.
AI in Software Development
In software development, AI is a partner that helps engineers focus on solving problems and designing architecture.
The recommended approach to adding AI to coding is enhancement not replacement, keeping human ingenuity and skill at the core, along with thorough documentation.
AI is most prevalent in roles that require advanced skills and higher salaries, like software developers and data scientists. By using AI in their workflow, there’s an emphasis on striking a balance between using AI tools and the art of programming.
This balance allows developers to offload mundane tasks to AI so they can focus on more creative and innovative projects.
Summary
Vibe coding is changing the way we build software, making it more accessible and faster. It uses AI powered tools, built with an ai model, where you write in plain language and it will turn it into working applications.
Developers who use vibe coding and follow best practices can unlock the full potential of AI in building modern software.
Vibe coding is going to be big. To really succeed with vibe coding it’s not just about generating outputs — it’s about crafting the right prompt, having clear documentation, and having a deep understanding of your project.
While AI can reduce the need to copy paste code snippets or boilerplate logic, developers still need to explain their intent and iterate based on feedback. The real magic happens when human creativity and strategic thinking guides the process, turning quick prototypes into scalable, production ready projects with intention and clarity.
