Automate Your Coding with Agentic Workflows
Introduction to Agentic Workflows and OpenRouter
Hello everyone, welcome back to my channel. Today, I'm going to introduce you to a tool that helps you code via the agentic workflow, called Cline. I'm also going to introduce you to OpenRouter, where you can connect the tool to some free source large language model APIs.
This is the caption for the image, showing the OpenRouter interface
OpenRouter is a unified interface for large language models. On the website, you can check the models you can connect using this platform, and in the large language model ranking, you can see how many tokens were generated using different models via this platform.
Setting Up Cline in VS Code
To get started, you need to install the Cline extension in your Visual Studio Code (VS Code). You can search for Cline in the extension marketplace, and it should be in the first place with over 53,800 downloads. After installing it, you can create a directory for the project and rearrange the Cline window in VS Code.
This is the caption for the image, showing the Cline extension in the VS Code marketplace
Configuring API Key and Choosing Model Providers
To use Cline, you need to configure the API key. You can choose different model providers and use their corresponding API keys. For example, you can use OpenRouter to link with free large language models.
This is the caption for the image, showing the configuration of API key and model providers
Choosing Free Models and Starting the Coding Process
After configuring the API key, you can choose free models and start the coding process. For example, you can choose the DeepSeek R1 model, which is a free model.
This is the caption for the image, showing the selection of free models
The Coding Process and Debugging
After choosing the model, you can start the coding process. The model will generate code based on your prompts, and you can see the token usage and context window.
This is the caption for the image, showing the coding process
In the coding process, you may encounter errors or issues. The model may not always provide the correct code, and you may need to debug and improve the code.
Debugging and Improving the Code
To debug and improve the code, you can try different models, check the context window, and prompt the model to improve the code.
This is the caption for the image, showing the debugging and improvement process
Conclusion and Recap
In conclusion, using Cline and OpenRouter can help you automate your coding workflow. You can choose different models, prompt the model to generate code, and debug and improve the code.
This is the caption for the image, showing the conclusion and recap
This is the caption for the image, showing the final thoughts
This is the caption for the image, showing the final image
Remember to like, comment, and subscribe to the channel for more AI and coding tutorials. Thank you for watching!