What Is Vibe Coding and How Does It Work?
Key Takeaways
- Vibe coding uses AI to generate software from natural-language instructions, reducing how much code a person needs to write manually.
- You describe what you want, test what the AI creates and refine it through follow-up prompts.
- It can help businesses build prototypes, internal tools and simple applications faster.
- AI-generated code still needs testing and human review, especially for security, privacy and business-critical applications.
- Vibe coding is unlikely to remove the need for developers, but it may shift more of their work towards architecture, testing, debugging and review.
Vibe coding generally refers to creating software by describing what you want in everyday language and letting artificial intelligence generate much of the implementation.
In its original, narrower sense, it goes further than ordinary AI-assisted coding. The person focuses mainly on whether the software works rather than closely reading or understanding every part of the generated code.
AI researcher Andrej Karpathy coined the term in a post on 2 February 2025. The term has since entered dictionaries including Merriam-Webster and Collins and become part of wider software-development discussions.
For Singapore businesses, the appeal is easy to understand.
A founder might use vibe coding to test an app idea. An SME could prototype an internal dashboard. A developer might use AI to generate repetitive features.
But there is an important difference between getting software to work and building software that is secure, maintainable and suitable for a real business.
What Is Vibe Coding in Software Development?
Vibe coding is an AI-driven development approach where a person gives instructions in natural language and an AI system generates or modifies code based on those instructions.
Instead of manually writing every function, you might tell an AI:
“Create a customer dashboard showing monthly sales, recent orders and the five best-performing products.”
You can then continue:
“Make the dashboard mobile-friendly.”
“Add a date filter.”
“Simplify the graph.”
Depending on the tool, the AI may generate the interface, database queries and application logic.
The user spends less time thinking about syntax and more time describing the desired result.
Is Vibe Coding the Same as AI-Assisted Coding?
Not exactly. AI-assisted coding is the wider category.
A developer using AI to autocomplete Python, generate tests or suggest a function is using AI-assisted coding. They may still inspect and understand every change.
Vibe coding gives the AI substantially more control over implementation.
| Approach | Human Role | AI Role |
| Traditional Coding | Writes most code manually | Little or none |
| AI-Assisted Coding | Writes and reviews code | Suggests or generates portions |
| Vibe Coding | Describes and tests the result | Generates substantial parts of the software |
In practice, the boundaries are increasingly blurry.
How Does Vibe Coding Work?
Most vibe coding follows a simple cycle:
Idea → Prompt → Generate → Test → Refine → Repeat
Suppose a Singapore SME wants an internal sales enquiry tracker.
Someone could prompt:
“Build a simple sales enquiry tracker. Staff should be able to enter a customer’s name, company, phone number, enquiry status and follow-up date.”
The AI generates an initial version.
The user might then ask:
“Add a dashboard showing how many enquiries are new, contacted, quoted and closed.”
Then:
“Allow managers to filter enquiries by salesperson.”
The software develops through conversation.
Behind the scenes, the AI may still be creating JavaScript, Python, SQL, APIs, database structures or other conventional software components.
What Can You Build With Vibe Coding?
Suitable projects may include:
Internal Tools: Staff dashboards, quotation systems, inventory trackers and reporting interfaces.
Prototypes: Early versions of apps, SaaS products or customer portals.
Automation: Scripts that organise files, process information or generate reports.
Web Applications: Landing pages, calculators, booking interfaces and basic interactive tools.
Proofs of Concept: Small demonstrations used before committing to a larger development project.
This makes vibe coding particularly useful when the goal is to test an idea quickly.
How Do You Start Vibe Coding?
You do not necessarily need years of programming experience to experiment with vibe coding.
Start With a Small Problem
Avoid:
“Build me the next Grab.”
Start with something narrow:
“Build a web application where employees can submit annual leave requests and managers can approve or reject them.”
Describe the User Experience
Explain who will use the software and what they need to do.
For example:
“Employees should see their remaining leave balance. Managers should have a dashboard showing pending requests.”
Generate and Test
Let the AI create the first version, then test it.
Click every button.
Enter unexpected information.
Try it on mobile.
Check whether users can access information they should not see.
Refine Through Prompts
Explain what needs changing:
“Prevent employees from approving their own leave.”
“Add an export-to-CSV button.”
“Make the interface easier to use on mobile.”
Then repeat the process.
Do You Need to Know Coding to Vibe Code?
Not necessarily for small experiments.
People with limited programming experience can increasingly use AI tools to create simple applications and prototypes.
However, coding knowledge becomes more valuable as the application becomes more complicated.
If users suddenly cannot log in, an experienced developer can inspect the authentication system, database, server logs and dependencies.
A non-developer may simply ask:
“Login doesn’t work. Fix it.”
Sometimes the AI may solve the issue. Sometimes it may introduce additional problems.
That difference becomes important when moving from a simple experiment to production software.
What Are the Benefits of Vibe Coding for Singapore Businesses?
Vibe coding can lower the barrier between an idea and a working prototype.
One major advantage is speed.
Teams may be able to test concepts without manually building every part of an early version.
Another benefit is accessibility.
Product managers, entrepreneurs, marketers and operations teams can experiment with software ideas even if they cannot traditionally code.
It can also support developer productivity by generating starting points for repetitive tasks.
AI tools are already widely used in software development companies. The 2025 Stack Overflow Developer Survey found that 84% of respondents were using or planning to use AI tools in development, while 51% of professional developers reported using them daily.
What Are the Risks of Vibe Coding?
The biggest danger is assuming that software is good simply because it appears to work.
AI can generate convincing code that still contains security weaknesses, incorrect assumptions or maintainability problems.
The 2025 Stack Overflow Developer Survey found that 46% of respondents distrusted the accuracy of AI tools compared with 33% who trusted them. Around 66% said a common frustration was receiving solutions that were almost right but not quite.
For businesses, the main risks include:
Security: AI-generated applications may contain weaknesses in authentication, APIs or permissions.
Privacy: In Singapore, applications handling identifiable customer or employee information may be subject to the Personal Data Protection Act (PDPA). Businesses should consider requirements around the collection, use, protection, retention and transfer of personal data.
Maintainability: Quickly generated code can become difficult to understand or change later.
Reliability: Software that works during testing may behave differently as usage and complexity increase.
Technical Debt: Repeatedly asking AI to patch problems can make a codebase increasingly complicated.
These risks matter most when software handles payments, customer accounts, confidential information or core business operations.
When Should Businesses Avoid Pure Vibe Coding?
Vibe coding works best for experimentation and lower-risk projects.
It becomes less suitable as the consequences of failure increase.
An internal tool for five employees is very different from an e-commerce platform processing payments and storing thousands of customer accounts.
Higher-risk software requires stronger engineering practices such as security reviews, automated testing, architecture planning, monitoring and quality assurance.
A useful rule is:
The higher the business risk, the less you should rely on unreviewed AI-generated code.
Vibe coding can still be used professionally, but experienced developers should review, test and approve what the AI produces.
What Does Vibe Coding Mean for Software Developers?
There is not yet enough evidence to conclude that vibe coding will replace software developers.
It is more likely to change where they spend their time.
As AI handles more implementation work, developers may focus more on:
- Software Architecture
- AI Direction
- Code Review
- Security
- Testing
- Debugging and Problem Solving
Developers also remain cautious about giving AI responsibility for higher-risk tasks.
In the 2025 Stack Overflow Developer Survey, 76% of respondents said they did not plan to use AI for deployment and monitoring, while 69% said the same about project planning.
In other words, writing every line of code manually may become less important, while understanding and reviewing software may become more important.
Will Vibe Coding Replace Software Development Companies?
Probably not, although it may change what clients expect.
Businesses may increasingly approach software companies with AI-generated prototypes already built.
Instead of asking a developer to create an idea from scratch, they may ask:
“Can you turn this prototype into a secure, scalable product?”
Professional teams may therefore spend more time reviewing architecture, replacing weak components, integrating systems and preparing software for production.
Is Vibe Coding the Future of Coding?
Vibe coding is likely to become one part of a software development company rather than completely replacing conventional programming.
AI can increasingly generate implementation, but creating reliable software involves more than producing code.
Someone still needs to decide:
- What should the system do?
- Who should have access?
- What happens when something fails?
- Is customer information protected?
- Can the application scale?
- How will it be maintained?
For production software, organisations should retain clear human accountability for reviewing, testing and approving what is released.
Should Singapore Businesses Pay Attention to Vibe Coding?
Vibe coding makes software development more accessible by allowing people to turn ideas into working applications through natural-language instructions.
For Singapore businesses, it can be useful for prototypes, internal tools, automation and testing digital ideas before committing to a larger project.
However, speed should not be confused with software quality.
Business-critical applications still require proper architecture, security, privacy safeguards, testing and professional development oversight.
If you are looking for technology providers, developers or other business services, Listing.sg helps companies discover and compare businesses across Singapore. Businesses can also strengthen their online presence through a business listing in Singapore, making it easier for potential customers and partners to find their services.
Sources
- Andrej Karpathy, original post introducing the term “vibe coding”, 2 February 2025.
- Merriam-Webster, “vibe coding” definition.
- Collins Dictionary, “vibe coding” definition.
- Stack Overflow Developer Survey 2025, AI adoption and trust findings.
- OWASP Secure Coding with AI Cheat Sheet.
- Personal Data Protection Commission Singapore, PDPA data-protection obligations.
Frequently Asked Questions About Vibe Coding
What Is Vibe Coding?
Vibe coding is a software-development approach where you describe what you want in natural language and an AI tool generates much of the implementation.
Who Invented the Term Vibe Coding?
AI researcher Andrej Karpathy coined the term in a post on 2 February 2025.
Can You Vibe Code Without Knowing How to Code?
Yes, especially for simple prototypes. However, coding knowledge becomes more important when debugging, securing, scaling or maintaining complex software.
Is Vibe Coding Safe for Businesses?
It can be suitable for prototypes and lower-risk internal tools, but business-critical applications still need security, privacy, testing and human review.
What Is the Difference Between Vibe Coding and Normal Coding?
Traditional coding involves developers manually writing most of the code. Vibe coding shifts much more implementation to AI while the human focuses on describing and testing the desired result.
Will Vibe Coding Replace Software Developers?
There is not yet enough evidence to say so. A more likely outcome is that AI changes developer work by shifting more attention towards architecture, security, testing, review and debugging.
