Why Software Engineering Matters in Web Application Development and the Hidden Vibe Coding.

Introduction

Today, web applications are part of almost everything we do. We use them to shop online, communicate, access educational resources, manage finances and even run businesses. Behind these applications are developers who work to make sure everything functions as expected.

With the introduction of Artificial Intelligence (AI), building applications has become much easier. Tools such as ChatGPT and GitHub Copilot can now generate code, suggest solutions and even help developers build entire websites and applications within a short period.This has introduced a growing trend known as Vibe Coding, where developers use natural language prompts to tell AI what they want and allow it to generate most of the code.

While this sounds exciting, it also raises an important concern: Just because an application works does that mean it is properly built?
A web application may look attractive and perform its basic functions perfectly, but what happens when it is exposed to hackers, handles sensitive information or starts receiving thousands of users?
This is why Software Engineering remains important. Building software is not just about making something work; it is about making sure it works properly, safely and reliably.

What Is Software Engineering?

Software Engineering is the process of applying proper principles, methods and techniques to develop and maintain software.
In simple terms, it is the difference between just writing code and actually knowing how to build a complete software system.
It involves several stages, including understanding what users need, planning how the application will work, designing its structure, writing the code, testing it and maintaining it after deployment.
Some important practices in Software Engineering include:

1. Requirements Analysis: Understanding what the application is supposed to do and what users expect from it.
2. System Design: Planning how the different parts of the application will work together.
3. Coding: Writing clean, organized and secure code.
4. Testing: Checking for errors and making sure the application works as intended.
5. Documentation: Keeping records that help developers understand and maintain the application.
6. Maintenance: Fixing problems, updating features and improving security over time.
7. These practices help developers create applications that are not only functional but also dependable.

Why Is Software Engineering Important in Web Application Development?

Developing a web application involves more than creating pages, adding buttons and connecting a database. There are several things developers must consider to make sure the application is safe and useful.

1. Security
   Security is one of the biggest reasons Software Engineering is important.
   Most web applications collect or process user information, such as names, email addresses, passwords and sometimes financial details. Without proper security measures, this information could fall into the wrong hands.
   For example, a poorly developed login system could allow unauthorized users to access someone else's account.
   Practicing secure software development helps prevent common attacks such as SQL Injection, Cross-Site Scripting (XSS) and unauthorized access.

2. Reliability
   Users expect applications to work whenever they need them. Imagine trying to make an online payment only for the application to crash halfway through the transaction.
   Proper development and testing help reduce errors, prevent unexpected failures and ensure that applications perform consistently.

3. Maintainability
   No application is perfect from the beginning. Developers regularly need to fix bugs, add features and make improvements.
   When code is properly organized and documented, it becomes easier for another developer to understand it and make changes without affecting the entire system.

4. Scalability
   An application might initially have only 20 users, but what happens when it grows to 10,000 users?
   Without proper planning, the application may become slow or stop responding.
   Software Engineering encourages developers to build systems that can grow and handle increasing numbers of users.

5. Saving Time and Money
   It may seem faster to skip planning and testing, but this can create bigger problems later.
   Fixing a security vulnerability or rebuilding an application after deployment can be much more expensive than identifying the problem during development.
   Vibe Coding: The New Way of Building Applications
   Vibe Coding has become popular because it allows people to create software without necessarily writing every line of code themselves.

For example, a developer can simply ask an AI tool to create a login page, connect it to a database and add user authentication. The AI then generates the code based on the instructions provided.
This can be helpful, especially for beginners, students and developers who want to create prototypes quickly.

However, there is a difference between using AI to assist with development and depending on AI to do everything without understanding what it produces.
AI tools are not perfect. They can generate incorrect code, overlook important security requirements or suggest solutions that appear to work but are technically unsafe.
The real problem begins when developers copy, paste and deploy generated code without reviewing or testing it.
Using AI to write code is not the problem. Trusting code you do not understand is.

The Hidden Dangers of Vibe Coding

Although Vibe Coding makes development easier, there are some risks that developers should not ignore.

1. Security Vulnerabilities
   AI-generated code can contain security weaknesses. For instance, it might generate a login system without properly checking user permissions or protecting passwords.
   A developer who does not review the code may unknowingly introduce vulnerabilities that attackers can exploit.

2. Poor Code Structure
   Sometimes AI generates code that works but is poorly organized. It may contain repeated functions, unnecessary libraries or complicated structures.
   This can make the application difficult to understand, update and maintain.

3. Lack of Understanding
   One major disadvantage of depending too much on AI is that developers may become unfamiliar with the code they are using.
   Imagine building an entire application with AI and then encountering an error that you cannot explain or fix because you do not understand how the different parts work.
   This can become a serious problem when maintaining real-world applications.

4. Data Privacy Risks
   Developers sometimes share code, database information or other project details with AI tools to get assistance.
   If sensitive information such as passwords, API keys or private user records is included in these prompts, it could create unnecessary privacy and security risks.
   Developers must be careful about what information they share with AI platforms.

5. Incorrect Information and Solutions
   AI can sometimes produce code that looks correct but contains logical errors or uses outdated methods.
   The danger is that beginners may not recognize these mistakes and may assume everything is working correctly simply because the application runs.

6. Overdependence on AI
   AI should help developers become more productive, not replace their ability to think and solve problems.
   When developers rely on AI for every task, they risk weakening important skills such as debugging, logical reasoning and independent problem-solving.
   What Can Go Wrong When Web Applications Are Built Without Software Engineering?
   The dangers are not limited to AI-generated applications. Even experienced programmers can create insecure and unreliable systems when they ignore proper Software Engineering practices.

Consider an online banking application.
At first glance, the application may look perfect. Users can log in, check their account balances and transfer money. However, if the developer fails to implement proper authorization checks, one user might be able to access another person's account.

Another example is an online shopping platform. If payment processes and product prices are not properly validated on the server, attackers may manipulate transactions or interfere with the purchasing process.
These situations can result in:

1. Loss of sensitive user information.
2. Financial fraud and unauthorized transactions.
3. Website failures and service interruptions.
4. Data corruption or permanent data loss.
5. Loss of customer trust.
6. Legal problems and financial penalties.
7. Damage to a company's reputation. This shows that an application can look good and still be dangerous underneath.

The Cybersecurity Side of Software Engineering
One thing every developer should understand is that security should not be an afterthought.
It should be considered from the very beginning of the development process.
The OWASP Top 10 is a useful resource that highlights some of the most serious security risks affecting web applications. These include Broken Access Control, Security Misconfiguration, Injection and Insecure Design, among others.

• To reduce these risks, developers should:
• Validate user input before processing it.
• Use secure authentication and authorization methods.
• Store passwords using strong hashing algorithms.
• Protect sensitive information through encryption.
• Regularly update software libraries and dependencies.
• Test applications for security weaknesses.
• Avoid exposing passwords, API keys and other credentials.
• Monitor applications and fix discovered vulnerabilities.

Another useful resource is the NIST Secure Software Development Framework (SSDF), which provides recommendations for integrating security into the software development process.
The main idea is simple: It is better to build security into an application from the beginning than to wait until something goes wrong.

Can We Combine AI with Proper Software Engineering?

Definitely!
There is no reason developers should completely avoid AI. In fact, AI can be a very useful tool when used correctly.
It can help generate code, explain difficult programming concepts, identify possible errors and speed up repetitive tasks.
However, developers still have responsibilities.

Before using AI-generated code in a real application, developers should:

1. Understand what the code is supposed to do. 2.Review the generated code instead of accepting everything blindly. 3.Test the application to identify errors. 4.Check for security vulnerabilities. 5.Use Git and other version control tools to track changes. 6.Protect sensitive information and application credentials. 7.Document the system properly. 8.Continue maintaining and updating the application.

NB: AI can make development faster, but Software Engineering makes the results more dependable.

Conclusion

Technology is changing, and AI is making software development more accessible than ever before. Today, someone with little programming experience can use AI tools to create an application that might previously have required several hours or even days of coding.
However, we should not confuse building an application quickly with building it correctly.
Software Engineering is still necessary because it provides the knowledge and discipline needed to create applications that are secure, reliable, efficient and easy to maintain.
Vibe Coding is not necessarily a bad approach. The problem is using it without understanding the code, testing the results or considering the security risks involved.
As future developers, we need to understand that our responsibility does not end when an application starts working. We are also responsible for the people who use it and the information they trust us to protect.
AI can help us write the code, but it takes Software Engineering knowledge to build software that people can trust.

References:OWASP Top 10 – Web Application Security Risks.
OWASP Top 10:2025.
NIST – Secure Software Development Framework.
OWASP Juice Shop – A deliberately insecure web application for security learning.