The video demonstrates how to integrate ChatGPT with an IDE to assist in coding tasks, showcasing a scenario where a developer resolves a payment integration error by sharing code context with ChatGPT. By selecting the appropriate model and allowing ChatGPT to analyze the code, the developer receives targeted assistance that identifies a camel case issue, streamlining the troubleshooting process and enhancing coding efficiency.
The video demonstrates how to integrate ChatGPT with an Integrated Development Environment (IDE) to streamline coding tasks. It begins by explaining how to access ChatGPT using the option plus spacebar shortcut and how to enable it to work with various applications. Users need to grant permissions either through system settings or directly within the app to allow ChatGPT to access the necessary context for coding assistance.
The presenter, a developer, illustrates a practical scenario involving a checkout page for a bookstore. While testing the payment integration, an error occurs due to a missing parameter. To resolve this issue, the developer opens ChatGPT and requests help in fixing the error, emphasizing that the problem is specifically related to the checkout page.
To provide context to ChatGPT, the developer clicks the “work with apps” button, which shares the entire code from the relevant file in the IDE. The video highlights the importance of selecting the appropriate model for coding tasks, opting for the “03 minihigh” model, which, while slower, is particularly effective for coding use cases. This allows ChatGPT to analyze the code and provide targeted assistance.
As ChatGPT processes the request, viewers can see its thought process and the steps it takes to arrive at a solution. The model identifies that the developer used camel case instead of the required snake case for the payment provider’s parameters. This insight is crucial for correcting the code and resolving the error.
Finally, the video showcases the seamless integration of ChatGPT with the IDE, allowing for automatic code editing. The developer confirms the changes made by ChatGPT, updates the return URL to the correct format, and saves the code. This process illustrates how ChatGPT can significantly reduce the time and effort required to troubleshoot coding issues, eliminating the need for manual error copying and API documentation searches.