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# Introduction
Coding has traditionally been a major pillar of most software engineers and developers’ work, whether implementing algorithms, building business logic, or maintaining complex systems. But due to advances made by large language model (LLM)-powered applications like chatbots, this is rapidly changing. Web Coding Using modern chatbot apps to explain software requirements and intent in natural language, and handing over the generation and modification of code to artificial intelligence (AI), sometimes with little direct understanding of its internal logic.
This article adopts a “Expectations vs. Reality“Based on research of real success and failure stories, the approach to Demistai, what are the capabilities and limitations of Vibe Coding.
# Vibe Coding Explained
the term “Web Coding“Was developed in early 2025, and can be defined as a chatbot-driven software development approach, as developers describe a project or task to LLM. As a result, the model generates code that meets the specifications defined by user prompts.
Ideally, if we stick to the original idea behind it literally, webcoding will attract the fact that the developer will not need to check the generated code, but instead they accept AI-infused code. Yet, in practice, this approach is not without risks—from hidden bugs and subtle security issues to difficulties with maintainability—so at the end of the day, most generated code results require some degree of human oversight and refinement to be productive.
Interested in getting a deeper, more concrete understanding of vibe coding first? Here are some important Kdnuggets articles you might want to take a look at:
# Reviewing success and failure stories
Now that we have a clear understanding of what web coding is, it’s time to look at examples of projects or real-world initiatives where it yielded successful results, as well as failure cases.
Success stories include:
- This Minecraft styled flight simulation game Developed using webcoding, i.e. putting together thousands of cues that together form complete gaming applications from start to finish: no coding involved.
- Vibe is another popular example of a coded application Creator Hunter: In the words of its creator, conceived while referring to a train journey. The app aims to connect content creators with startup founders. While at first raising expectations, later traction dynamics results indicated that the resulting product growth peaked very quickly. So, while we can certainly consider Creator Hunter’s stay a success story in its own right, its long-term status is as such.
- On the third example, we have a New York Times (NYT) Successful attempts by journalists to create several small apps to enhance personalization in daily life tasks. There is an example Lunchbox friendsan assistant that recommends meals based on what ingredients are in your fridge. Despite receiving criticism for the idea behind the app not being original or important, from a web coding usage perspective, it’s a bit of a success empirically speaking. Certainly, there are many things to improve. Maybe, but let’s point out that vibecoding is a very new paradigm that may still require a lot of maturity.
Meanwhile, some of the failure stories to point out include:
- This Copy The story seems to cross the boundaries between reality and science fiction. One company used the popular Webcoding tool to build an AI agent that managed a professional network for its SaaS product. What started as sheer, addictive joy using a web coding tool ended in a disaster, with valuable database entries containing data on executives and companies. The most surprising part: the AI ​​agent admitted to doing it, arguing that it had seen empty database queries, and that panicked Instead of thinking practically how to create a process. The rest is history: months of data collection, processing and storage destroyed in mere seconds.
- Another well-known case of failure came from startup Enriched when trying to use Webcoding, specifically building its app entirely. Cursor AI. Appearing functional and secure at launch, soon after being deployed in the real world, it fell victim to exploits of serious security breaches by attackers, such as the lack of proper input validation mechanisms requiring authentication and even contaminating databases. Part of the reason behind this phenomenon is said to be a lack of technical expertise to diagnose or repair cascading cases that may seem harmless at first glance. The entire project eventually had to be shut down.
# Final thoughts
Looking at the above success and failure stories, we can conclude that if we adopt a critical, ambitious approach, it may be difficult to find great webcoding success stories to date. Most of these cases have their own nuances, proving that webcoding is still a paradigm in its infancy and it may take a long time to make it truly reliable in real-world settings, especially—if we look at the failure stories—in terms of security and robustness against unexpected or less likely situations.
// The key path
- Vibcoding can enable rapid code generation, but human understanding and validation is still crucial. AI tools used in web coding lack the cognitive understanding needed to debug, or maintain code for long periods of time.
- As with almost every technology, patience is the key to seeing real success stories. As the founder Suster The community stated, “It will be a long and contentious journey where we all want them to stay in most commercial use cases.”
Ivan Palomares Carrascosa Is a leader, author, speaker, and consultant in AI, Machine Learning, Deep Learning, and LLMS. He trains and guides others in real-world applications of AI.