Vibe coding: when a neural network does the taxes and a lawyer writes the code

Only yesterday, the term vibe coding looked like an ironic joke from Twitter. Today it is turning into a real strategy for launching startups. The idea is simple: you don't write code in the usual sense, you dictate what you want to a neural network, and it turns your wishes into a working product. That is how a new tax consulting project is being born, one that promises to overturn the way businesses should deal with fiscal authorities. Its creator decided not to hire a team of programmers, and instead to use the power of modern language models to build a tool that understands the subtleties of tax law better than the average accountant.

The context matters more here than the technology. Traditionally, developing software for niches as complex as taxes or law turned into an endless game of broken telephone. Lawyers tried to explain their requirements to developers, the developers nodded, and what came out had nothing to do with reality. Vibe coding removes that middleman. Now a person with deep tax expertise can dictate the application's logic personally. That makes it possible to build tools that don't merely store documents but actually analyze risks and predict inspectors' actions.

Why is this happening right now? The answer lies in the qualitative leap of models like Claude 3.5 Sonnet and the arrival of advanced development environments like Cursor. They let a person with a minimal technical background maintain a complex application architecture. For tax control, that means being able to quickly adapt the software to constantly changing legislation. While large corporations are still approving a budget to update their ERP system, a lone vibe coder can ship, overnight, a patch that accounts for a fresh government decree.

The project aims to give businesses a tool for preventive protection. Instead of frantically gathering documents after receiving a demand from the tax authority, a company can use a system that monitors weak spots in real time. This changes the very paradigm of tax support: we are moving from a reactive, firefighting model to proactive risk management. The irony is that such complex, high-stakes functionality is being built with a method that, just six months ago, was considered a toy for making simple landing pages.

Of course, vibe coding has its skeptics. Many believe neural networks are prone to hallucinations, and that code written without a professional architect will turn into an unmanageable mess. Yet for applied business tasks, where speed and accuracy of logic matter more than the elegance of algorithms, this approach turns out to be remarkably effective. If the tax control app can really automate consultants' routine work, it will be a powerful signal to the whole market. We are on the threshold of a time when domain expertise again matters more than the skill of writing Python code.

The key point: vibe coding legitimizes the creation of complex systems by experts from the real economy. Will neural networks be able to replace tax consultants entirely, or will they simply become their main tool?