Build a Free AI Coding Environment that Beats Cursor and Windsurfer
Welcome to Agent Workflow, where we explore the latest advancements in AI technology. In this article, we will discuss how to build a free AI coding environment that can compete with Cursor and Windsurfer.
Introduction to the Stack
The stack we will be using consists of VS Code, RueCode, DeepSeek R1, GitHub Copilot, and Gemini. These tools are all free or low-cost, making them an attractive alternative to more expensive options.
Why This Stack Matters
This stack matters because it provides a comprehensive and cost-effective solution for AI coding. With VS Code as the base IDE, RueCode and DeepSeek R1 provide additional functionality for AI-powered coding. GitHub Copilot and Gemini offer further enhancements, making this stack a powerful tool for developers.
Cost Comparison
The cost of this stack is significantly lower than that of Cursor and Windsurfer. VS Code and RueCode are free, while DeepSeek R1 is only 1% of the cost of OpenAI's model. GitHub Copilot offers 50 free calls per month, and the unlimited plan is only $10/month.
Setting Up the Stack
To set up the stack, start by installing VS Code and the RueCode extension. Then, add the DeepSeek R1 API and GitHub Copilot to your VS Code setup.
Using the Stack
Once the stack is set up, you can start using it to code. The RueCode extension provides AI-powered coding suggestions, while DeepSeek R1 offers advanced reasoning capabilities. GitHub Copilot and Gemini provide additional functionality, making this stack a powerful tool for developers.
Conclusion
In conclusion, building a free AI coding environment that can compete with Cursor and Windsurfer is possible using the stack consisting of VS Code, RueCode, DeepSeek R1, GitHub Copilot, and Gemini. This stack provides a comprehensive and cost-effective solution for AI-powered coding, making it an attractive alternative to more expensive options.
Future Developments
The future of AI coding is exciting, with new developments and advancements being made every day. As the technology continues to evolve, we can expect to see even more powerful and cost-effective solutions for AI-powered coding.