In 2026, AI code generation ceased to be an experiment and became an industrial standard. Statistics show that up to half of the software in major technology companies is created by algorithms. However, the mass adoption of tools like Yandex Code Assistant reveals a systemic problem: the phenomenon of vibe coding. The essence of the risk lies not in the quality of generated code, but in the developer's loss of agency and understanding of processes.
Testing the assistant on a secrets storage task demonstrates a critical gap between AI's ability to write code and its understanding of security context. AI may generate a syntactically correct solution, but without the developer's domain knowledge, this solution carries fatal vulnerabilities. The article emphasizes that automation of deployment and code writing shifts the focus of responsibility from mechanics to architecture and control.
A comparison of functionality with the Cursor tool indicates market convergence, where the key factor is not the presence of a model, but the quality of integration into the workflow. The main conclusion of the analysis is obvious: AI is becoming a powerful co-author, but not a replacement for the engineer. In projects with a high cost of error, human control remains the only guarantee of security, and vibe coding without deep understanding of the domain becomes a risk for business. It is important to clearly distinguish areas of responsibility: AI generates options, humans make decisions.