Introduction
Almost everyone is building web applications (WebApps) today. With AI tools like ChatGPT, Claude and Cursor, you can simply type, "Build me an online shopping website," and receive generated code within seconds.
This approach is commonly known as Vibe Coding — a way of developing software by prompting AI tools and relying heavily on the generated results, sometimes without fully understanding, planning or reviewing the code.
It feels fast. It feels exciting. It can even feel magical.
But when building real-world web applications that people depend on, relying blindly on this approach can be dangerous.
Software engineering is not old-fashioned. It is one of the foundations of building reliable, secure and maintainable web applications.
It is what helps ensure that applications do more than simply look good and work during a demonstration.
What Is Software Engineering?
Software engineering is not just about writing code. It is the systematic discipline of designing, developing, testing, deploying and maintaining software applications.
It involves several important stages:
- Requirements Engineering – Understanding what users actually need from the application.
- Design – Planning the system architecture, database structure, user interface and security considerations before implementation.
- Implementation – Writing organized, understandable and maintainable code.
- Testing – Checking that the application works correctly and that changes do not introduce new problems.
- Deployment and Maintenance – Making the application available to users, fixing problems and keeping it updated.
In simple terms:
Think first. Plan properly. Build carefully. Test thoroughly. Maintain continuously.
What Is Vibe Coding?
Vibe Coding involves using natural language prompts to generate software with AI tools, often accepting the generated code without fully understanding how it works.
For example, someone might ask an AI tool to create a complete e-commerce website. The tool may generate the interface, database connections and application features.
However, the person building the application may not understand the code, how the different components communicate or whether the generated implementation is reliable.
The danger arises when developers accept and deploy generated code without proper review, testing or validation.
Why WebApps Need Software Engineering
Web applications are different from small experimental projects. They may be publicly accessible, handle real user information and serve many people simultaneously.
This makes proper software engineering practices essential.
1. Security
A web application may store passwords, phone numbers, payment information and, in healthcare systems, patient records.
Without proper security practices, a small vulnerability can expose sensitive information.
Developers must consider secure authentication, password hashing, input validation and protection against attacks such as SQL injection and Cross-Site Scripting (XSS).
2. Scalability
An application that works perfectly for ten users may struggle when thousands of people access it simultaneously.
Without proper architecture, database optimization and performance testing, the application may become slow or unavailable as demand increases.
3. Reliability
Users expect important applications, such as banking and school portals, to work consistently.
Software engineering practices such as testing, error handling, monitoring and backups help improve reliability and reduce unexpected failures.
4. Maintainability
A real web application may operate for several years.
If its code is poorly organized, difficult to understand or lacks documentation, future developers may struggle to fix bugs and introduce new features.
Good software engineering makes applications easier to understand, maintain and improve.
5. User Trust
People trust web applications with their personal information, money and important activities.
An application that frequently fails, loses information or exposes user data can quickly destroy that trust.
Building reliable software is therefore not just a technical responsibility; it is also a responsibility to the people using it.
The Dangers and Disadvantages of Vibe Coding
Vibe Coding can be useful, but relying on it without proper engineering practices introduces several risks.
1. Security Disasters
AI-generated code can contain security weaknesses, especially when developers fail to review and test it.
For example, an application might use weak password storage, lack proper input validation or contain vulnerabilities that expose it to SQL injection and XSS attacks.
A developer who does not understand the generated code may struggle to identify and correct these weaknesses.
2. No Understanding, No Fixing
If developers do not understand the code they deploy, fixing problems becomes difficult.
They may repeatedly ask AI to generate new solutions without understanding why the previous versions failed.
This can create even more complicated code instead of solving the original problem.
3. Hidden Bugs and Broken Logic
A Vibe-Coded application may look perfect on the front end while containing serious errors in its underlying logic.
For example:
- An online shopping application might incorrectly calculate product prices or allow invalid transactions.
- A hospital application might display incorrect patient information if its access controls and data relationships are poorly implemented.
These problems may not be obvious during a simple demonstration, but they can have serious consequences in real-world use.
4. Poor Testing and Documentation
Some developers focus so much on generating code quickly that they neglect important activities such as writing test cases, documenting requirements and explaining how the system works.
Without proper documentation and testing, maintaining the application becomes difficult.
If the original developer leaves the project, another developer may struggle to understand and continue the work.
5. Technical Debt and Higher Future Costs
Technical debt occurs when shortcuts taken during development create problems that must be corrected later.
An application built quickly without proper planning may require significant time and money to repair when it becomes more complex.
What appears to save time during development can eventually increase maintenance costs, reduce productivity and damage user confidence.
6. Legal and Ethical Risks
Developers and organizations have responsibilities when collecting, storing and processing user information.
If an application exposes personal data because of poor development or security practices, the consequences may include financial losses, reputational damage and legal or regulatory action.
Blaming AI for the problem does not remove the responsibility of the people and organizations deploying the application.
Vibe Coding Is Not Useless — But It Has Its Place
Vibe Coding is not necessarily a bad development approach. Like other development tools, its usefulness depends on how it is applied.
Vibe Coding can be useful for:
- Building quick prototypes.
- Learning programming concepts.
- Participating in hackathons.
- Testing new application ideas.
- Automating simple development tasks.
However, extra care is needed when developing:
- Banking and financial applications.
- Hospital and healthcare applications.
- School management and student information systems.
- E-commerce platforms handling real transactions.
- Applications that store sensitive user information.
- Systems that require high availability and long-term maintenance.
The important lesson is that AI should be used as a development assistant, not as a replacement for software engineering.
Developers can allow AI to help generate code, explain concepts and identify possible errors. However, they must still understand, review, test and take responsibility for the software they deploy.
Conclusion
Artificial intelligence has made building web applications faster and more accessible than ever before.
However, making software development easier does not mean that software engineering has become unnecessary.
In fact, as AI-generated code becomes more common, the importance of understanding software requirements, system design, testing, security and maintenance becomes even greater.
AI can help developers write code, but it cannot remove their responsibility to build applications that people can trust.
The goal should not simply be to build web applications quickly. It should be to build applications that are reliable, secure, maintainable and capable of solving real-world problems.
References and Further Reading
OWASP Foundation: OWASP Top 10 – 2025 — A guide to some of the most critical security risks affecting web applications.
National Institute of Standards and Technology (NIST): Secure Software Development Framework (SSDF) — Guidance on practices for developing secure and reliable software.
NIST Special Publication 800-218: Secure Software Development Framework, Version 1.1 — Recommendations for reducing software vulnerabilities throughout the development process.
