The video explains how to use Google Gemini 2.5 for coding tasks through the R Code tool within Visual Studio Code, highlighting the setup process, including obtaining an API key and configuring settings. It demonstrates the AI’s ability to generate code in real-time for tasks like creating a landing page, while also providing tips on managing code changes with version control using GitHub.
In the video, the presenter discusses how to utilize Google Gemini 2.5 for coding tasks using a tool called R Code, which allows users to generate code for free. Initially, the presenter highlights the capabilities of Gemini in creating code but points out a limitation: it can only generate code in a single file. To overcome this, they introduce a workaround using a tool called Bolt DIY, which enables users to create websites through text prompts. However, the presenter emphasizes that this requires downloading additional software, which may not be user-friendly for those accustomed to Visual Studio Code.
The presenter then demonstrates how to set up R Code within Visual Studio Code, explaining that this extension allows for natural language communication with an AI model to generate code. They guide viewers through the installation process, starting with downloading Visual Studio Code and then adding the R Code extension. The video also mentions the importance of configuring settings to select the appropriate API provider, such as Google Gemini or Open Router, to access the desired AI capabilities.
After setting up the environment, the presenter shows how to obtain an API key from Google AI Studio, which is necessary for using Gemini 2.5. They explain the process of creating a project and generating an API key, which can then be integrated into Visual Studio Code. The presenter also discusses the limitations of the free version of Gemini and suggests using Open Router as an alternative for more extensive usage without strict caps.
Once the setup is complete, the presenter demonstrates how to prompt the AI to create a simple landing page. They showcase the AI’s ability to generate code in real-time, allowing users to see the coding process unfold. The presenter highlights the interactive nature of the tool, where users can request modifications to the generated code and see immediate results, making it a powerful resource for coding tasks.
Finally, the video concludes with tips on managing code changes through version control using GitHub. The presenter emphasizes the importance of saving changes to maintain a history of the project, which can help in rolling back to previous versions if needed. They encourage viewers to engage with the community for further learning and support, inviting them to join discussions and Q&A sessions. Overall, the video serves as a comprehensive guide for leveraging AI tools for coding, particularly focusing on the capabilities of Google Gemini 2.5 and R Code.