Transforming Programming Efficiency with DeepSeek R1 in VSCode

Hello everyone, I am a rural programmer, an independent developer, and an industry observer, Chen Suiyi, the “Tiger of Frontend”.

• Personal website 1️⃣: https://chensuiyi.me
• Personal website 2️⃣: https://me.yicode.tech

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Transforming Programming Efficiency with DeepSeek R1 in VSCode — DeepSeek-R1

It’s incredible, everyone. DeepSeek has just released DeepSeek-R1, which performs on par with OpenAI o1 official version.

You can see that its capabilities are outstanding.

DeepSeek-r1 API pricing:

• Per million input tokens 1 Yuan (cache hit)
• Per million input tokens 4 Yuan (cache miss)
• Per million output tokens 16 Yuan.

OpenAI-o1 API pricing:

• Per million input tokens $15 (110 Yuan) (cache hit)
• Per million input tokens $7.5 (55 Yuan) (cache miss)
• Per million output tokens $60 (438 Yuan)

In terms of pricing, comparing to o1 is a huge bargain.

If it’s still not intuitive, take a look at the comparison above, it’s clear at a glance.

Some netizens commented:

This is the real OpenAI.

It does make some sense.

As a programmer, using such a cost-effective model for enhancing my coding efficiency is wonderful.

I am a fan of VSCode, I share the update content every month.

So, if I could use DeepSeek r1 in VSCode, that would be perfect.

Someone recommended I use Cursor and Windsurf. Honestly, although they are both derived from VSCode, I still prefer the original VSCode.

After some searching, I finally found a magical tool called Roo Cline.

This is a VSCode extension that connects to different AI large models to provide suggestions and modifications for our programming.

Speaking of Roo Cline, I must mention Cline.

I have previously shared about cline, and you can find more of my past articles at the end of this article.

Roo Cline is a fork of Cline, based on its open-source code, starting a new project maintained by a different group of people.

Compared to Cline, Roo Cline has the following features:

Function Enhancements and Improvements

• More aggressive update cycle: Roo Cline has a higher update frequency, supporting more experimental features such as image dragging, message deletion, feedback sounds, browser calls, etc.
• Multi-language support: Roo Cline supports multiple language interfaces (like Chinese, English, Japanese, Spanish, etc.), making it convenient for global developers to use.
• Richer model support: Roo Cline not only supports the models originally available in Cline (such as Claude 3.5 Sonnet), but also adds support for DeepSeek, AWS Bedrock, Google Gemini, etc., and can quickly follow up on new model integrations.
• Terminal output control: Roo Cline allows developers to control the number of terminal output lines passed to the model during command execution, which is very useful for debugging.

Performance and Cost Optimization

• Lower token consumption: Roo Cline may reduce token consumption during interactions through caching or batch operations, saving development costs.
• MCP protocol optimization: Roo Cline supports custom MCP (Model Context Protocol) settings, including automatic retry mechanisms and automatic approval for high-risk operations, improving development efficiency.

User Experience Improvements

• Drag and drop image and screenshot function: Roo Cline supports dragging images into the chat area and adjusting screenshot quality, allowing developers to quickly generate or modify interfaces.
• History management: Roo Cline provides more convenient history management features, supporting one-click copying of prompts and message deletion.
• Browser interaction: Roo Cline can directly launch a browser for interactive testing, supporting clicks, text input, scrolling, etc., and capturing screenshots and console logs.

Overall, Roo Cline is a comprehensive optimization based on Cline, providing richer features, lower costs, and better user experience.

For developers, Roo Cline is a more flexible and efficient choice, especially suitable for scenarios that require frequent model switching or complex debugging.

If you are already familiar with Cline, Roo Cline will bring more surprises.

On the second day after the release of deepseek r1, Roo Cline has already supported the deepseek r1 model.

After installing the Roo Cline extension in VSCode, configure it as shown in the image above. For convenience, the parameters are as follows:

1. Select DeepSeek
2. No need for https://api.deepseek.com
3. Your api key, find it in the DeepSeek user backend.
4. deepseek-reasoner

After this setup, start enjoying the programming efficiency brought by deepseek r1.

DeepSeek backend address: https://platform.deepseek.com.

I recharged 20 Yuan on December 30, and almost a month later, I still have 19.64 Yuan left.

On one hand, I really haven’t used it frequently, and on the other hand, DeepSeek’s pricing is indeed friendly.

I used to scoff at AI programming, but after experiencing it, it truly opened my eyes; the power of technology is like magic.

Let’s embrace AI together and become super programming warriors with ten times the power.

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