Content Introduction
In this video, the presenter explores the newly released version of Codex by OpenAI and its integration within an IDE to manage a Flutter project. The demonstration includes testing Codex's ability to understand and extend an existing project originally developed with Augmented Code. The presenter showcases installing Codex, setting it up with API access, and asking it to incorporate AI functionalities like a chatbot for health and fitness inquiries. Throughout the demonstration, the presenter highlights Codex's performance in adding necessary dependencies and creating relevant files, showcasing the seamless integration of AI capabilities. The video's conclusion reflects on Codex's performance compared to other solutions like Kilo Code and Cloud Code while promising further comparison videos in the future.
Key Information
- OpenAI has released a new version of CodeEx that allows users to access CodeEx directly within their favorite IDE, like VS Code.
- The video demonstrates testing CodeEx on a larger codebase, specifically a Flutter application.
- The presenter aims to use CodeEx to understand and integrate AI functionalities into their existing Flutter application.
- A functionality added by CodeEx was a chatbot that allows users to ask questions about health and fitness.
- The integration of CodeEx with the Open Router API enables access to different AI models, specifically demonstrating the use of GLM 4.6.
- The final implementation successfully adds a chat functionality to the application, allowing it to share meal plans and respond to user queries.
Timeline Analysis
Content Keywords
Codeex
OpenAI has released a new version of Codeex that integrates with your favorite IDE, allowing developers to access and test how Codeex works with existing codebases, including Flutter applications.
Flutter Application
The video showcases a Flutter application running in the browser, illustrating its functionalities, with a focus on integrating AI capabilities.
AI Features
The video aims to use Codeex to understand and enhance an existing application by adding AI functionalities, particularly a chatbot for health and fitness inquiries.
Open Router
Open Router is a platform for accessing various AI models via API. The video explains how to obtain an API key and integrate AI functionalities into the project using this platform.
Chat Widget
The presenter aims to add a chat widget to the application using Codeex, demonstrating a process of integrating new AI functionalities within the existing Flutter app.
Integration Performance
After substantial effort, the integration of the AI chatbot is successful, making the functionality work correctly, albeit it being less efficient compared to other platforms like cloud code.
Future Comparisons
The presenter plans to create a comparison video between Codeex, cloud code, and kilo code, highlighting the performance differences among the various AI coding platforms.
Related questions&answers
What is the new version of Codeex about?
How can I access Codeex?
What type of applications is being demonstrated with Codeex?
What are the functionalities being integrated with Codeex?
How does Codeex compare to other AI coding assistants?
What API is being used in the application?
What specific feature was added to the Flutter application?
How effective is the integration of the chatbot?
What features were updated in the Flutter app?
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