It’s 2026, if you’ve been on social media long enough, you’ve seen the same phrase repeated everywhere: “vibe coding”. Internet influencers claim it’s never been easier or faster to launch your first online product or startup. They tell you it’s so fast, easy and cheap it barely costs anything. But is any of that actually true, or is it just another hype cycle designed to hook you into buying a “prompt engineering” course? Let’s dive in.
When did “vibe coding” begin to trend? #
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February 6, 2025
Andrej Karpathy first introduces the term on X (formerly Twitter), describing a new kind of coding where you "fully give in to the vibes" and "forget that the code even exists". -
Early 2025
The concept quickly gains traction in Silicon Valley, fueled by the capabilities of advanced AI models and coding agents like Cursor, Replit Agent, and Claude 3.5 Sonnet. -
March 2025
Merriam-Webster officially lists "vibe coding" as a "slang & trending" expression. -
Late 2025
The term is named the Collins English Dictionary Word of the Year for 2025, cementing its place in the cultural zeitgeist.
Why is everyone so successful with “vibe coding”? #
It seems like everywhere on social media, people are sharing their success stories with “vibe coding” and how fast it took them to launch their product. But do you ever wonder why rarely anyone talks about their actual results, and why they all seem to have an online course prepared for you to follow?
The “success” you see in your feed is often a result of two things: The Perception Gap and The Prototype Peak.
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The Perception Gap: In 2026, research from organizations like METR has shown that developers using AI agents feel about 20% faster than they actually are. In reality, while the AI writes the code in seconds, the human spends significantly more time debugging and fixing security holes that the AI or LLMs missed. Influencers show you the results of a ‘5-minute prompt’ but skip the hours or even days spent trying to make it run with minimal bugs.
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The Prototype Peak: “Vibe coding” is incredibly effective during the prototyping phase. You can spend five minutes or less describing what you want and the AI will spit out everything you need, handling all the dependencies so you can get a prototype up and running fast. This is the Prototype Peak. It looks like a finished product with a slick UI, but it is actually just a prototype. Once the project grows beyond a few files, your daily tokens start to run out faster and faster while the system begins to break. In the industry, this is what we call technical debt.
So why does everyone on social media look like they are winning with this “vibe coding” trend? It is social media, and everyone has to look good in the public eye. Another major element is survivorship bias, which is a logical error where people focus only on the visible examples of success while ignoring the thousands of failures. These apps that internet influencers “vibe coded” can actually make a return for them in other ways. They either sell an online course or leverage a large audience that is already willing to support them. In reality, very few of these fully “vibe coded” apps actually make any money on their own.
Is “vibe coding” any good? #
You can already see that things on social media aren’t as simple as they seem. However, that doesn’t mean that vibe coding is all bad. There are actually a lot of pros to doing it even if you are not a software engineer.
- Faster prototyping: This is the best part about “vibe coding”. Not every app or project needs to be shipped to end users. Sometimes you just need to get an idea out of your head to try it or to get feedback before investing more time and money into it.
- Automation: Let’s say you have a bunch of boring tasks that don’t feel worth the effort of hiring a developer to automate. Instead of doing them manually every day, this is where AI and LLMs can actually shine.
- Pattern recognition and data handling: This is a task where AI is exceptionally good. It can identify trends, anomalies, and similarities while distilling long documents or summarizing large files in seconds.
There is more to “vibe coding” than just these points, but these are some of the best use cases for the “vibe” approach.
The ugly side of “vibe coding” #
At this point, I am sure you are wondering why none of the use cases I listed are related to shipping a product to customers. Here are some of the biggest downsides of “vibe coding” for a non-engineer.
- Low code quality and maintenance: AI-generated code often lacks structure, scalability, and optimization. This creates codebases that are extremely hard to maintain over time, especially for non-engineers or non-coders.
- Technical debt: By taking the easy path with “vibe coding” and without understanding the code the AI generates, you will spend more time and money fixing it later instead of actually investing in new functionality.
- Security vulnerabilities: AI frequently introduces vulnerabilities, such as hardcoded credentials like API keys and missing data sanitization. Hardcoded API keys can easily be exposed to automated scanners and general-purpose web crawlers that continuously scan the public internet. Missing data sanitization can lead to major data breaches. One mistake will cost you a lot of money with your API provider, while the other can lead to legal fines and profound reputational damage.
- Debugging: It is not a matter of if “vibe coded” apps will fail, but rather when. When it fails, troubleshooting becomes difficult because a “vibe” coder does not understand the underlying logic.
- Limited context handling: AI and LLMs have limited context. They struggle with large systems, which results in a lot of code duplication and a loss of functionality. The larger your app gets, the slower the AI will run and the more tokens it will use for each prompt, making it incredibly expensive.
“Vibe coding” is still unsuitable for production. Every mistake will cost you more money in the long run.
Should You Vibe Coding Your Online Business In 2026? #
The reality of 2026 is that “vibe coding” has already won the adoption. Recent data shows that 92% of developers are using AI tools daily, and nearly half of all new code is AI-generated. But as we have seen, the “success” people brag about on social media is often just the beginning of a very expensive problem.
If you are a non-engineer, here is the honest truth about where this trend stands today.
When to “Vibe coding”:
- Prototyping: If you just need to see if an idea works, “vibing” is a superpower. You can build a “hollow shell” in a weekend that used to take months.
- Internal Tools: If the app is only for you or a small team where a few bugs won’t hurt anyone, go for it.
- Learning: It is a great way to see how different parts of a system talk to each other without getting stuck on syntax errors. Think of the AI as a patient mentor that always has time for your questions.
When to Hire a Professional:
- Finances and payments: Never “vibe coding” your way through a payment gateway. One security hole could cost you everything.
- Scaling: If you expect more than ten people to use your app at once, you need real architecture that an AI agent cannot yet guarantee.
- Long term business: If you want a business that lasts more than three months, you need code that a human can actually read and fix.
“Vibe coding” is a tool, not a shortcut to a successful company. Influencers sell you the “5-minute startup” because they are selling a dream, not a software business. Take the time to understand the “why” behind the code, or hire someone to do that for you :).