Enthusiast built a personal Cursor alternative using Claude and Google

In recent times, artificial intelligence is rapidly penetrating all spheres of our life, and software development has been no exception. One striking example is the emergence of specialized AI tools for programmers, such as the Cursor code editor. However, high subscription costs and dependence on cloud services prompted one enthusiast to create his own, fully customized alternative. Using the capabilities of Google AI Studio and Claude Chat, he demonstrated how modern large language models (LLM) are able to automate complex development processes, allowing the creation of unique tools even without deep programming skills.

The starting point of this project lay in the developer's realization of his own dependence on paid services. Paying subscriptions to Cursor and Claude Pro, he faced the limitations of closed cloud solutions and the inability to deploy locally or modify tools according to his needs. This situation pushed him toward an ambitious idea: what if he created his own analogue, fully controlled and adapted to his requirements? An important condition was the desire to do without writing code manually, relying exclusively on the capabilities of LLM.

The key tools in implementing this idea were Google AI Studio, providing access to powerful Google models with a generous free tier, and Claude Chat, acting as an intelligent assistant and code reviewer. The entire process took place in no-code mode: the user formulated his requests and wishes in text form, and neural networks independently took on tasks of designing architecture, writing code, and even debugging. This approach not only saved resources but also significantly accelerated the development process, transforming it from a labor-intensive process into a dialogue with artificial intelligence.

The results of the experiment turned out to be impressive. The developer managed to create a full-fledged alternative to Cursor that fully met his expectations. This case clearly demonstrates the enormous potential of modern LLMs not only in writing individual code fragments or solving routine tasks, but also in automating the entire development cycle of complex software products. Moreover, it opens doors for a wide range of users who, lacking deep knowledge in programming, can now create individual tools, maximally adapted to their specific workflows and needs.

Thus, the story of one enthusiast serves as a striking example of how the development of artificial intelligence is changing the software development paradigm. Rejecting dependence on expensive and closed services in favor of creating one's own customized solutions becomes a real possibility. This project is not only economically beneficial, but also allows reaching a new level of personalization in work tools, which will undoubtedly become a trend of the future in the world of technology.