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I Tested OpenAI Codex on a Real Flutter App... Here's What Happened

#AI Tools
2025-10-27 19:128 min read

Content Introduction
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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?

The new version of Codeex allows users to access it directly inside their favorite IDE, enabling better integration and functionality.

How can I access Codeex?

You can access Codeex directly inside your IDE after installing it.

What type of applications is being demonstrated with Codeex?

The demonstration is based on a Flutter application, showcasing how Codeex integrates with it.

What are the functionalities being integrated with Codeex?

The video demonstrates integrating AI functionalities into the application using GLM 4.6 through Open Router.

How does Codeex compare to other AI coding assistants?

The creator plans to make a comparison video between Codeex, Cloud Code, and Kilo Code to evaluate their performance.

What API is being used in the application?

The application uses the Open Router API to access different AI models.

What specific feature was added to the Flutter application?

A chatbot functionality was added, allowing users to ask questions about health and fitness.

How effective is the integration of the chatbot?

The integration was successful, with the chatbot responding appropriately, confirming that the model is functioning as expected.

What features were updated in the Flutter app?

The app was updated to include an HTTP dependency for API calls and new Dart files for handling chatbot interactions.

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