Tongyi Lingma + DeepSeek: The powerful combination of AI programming assistants makes development efficiency soar!

A new breakthrough in AI programming assistants, Tongyi Lingma and DeepSeek models combine to help developers achieve a leap in efficiency.
Core content:
1. Tongyi Lingma's multi-language support and powerful function integration
2. The performance characteristics of DeepSeek-V3 and DeepSeek-R1 models
3. A new programming experience brought by Tongyi Lingma combined with DeepSeek models
With the rapid development of AI technology, the field of programming has also ushered in profound changes. The emergence of AI programming assistants has not only improved development efficiency, but also lowered the threshold of programming, allowing more developers to easily cope with complex development tasks. Recently, Tongyi Lingma, a subsidiary of Alibaba Cloud, announced full support for DeepSeek-V3 and DeepSeek-R1 models, which marks another important step in the field of AI programming . This article will introduce in detail how Tongyi Lingma combines the DeepSeek model to bring developers an unprecedented programming experience.
1. Tongyi Lingma: A new milestone in AI programming
Tongyi Lingma is an intelligent coding assistance tool jointly created by Alibaba Cloud and Tongyi Lab . Based on Tongyi big model technology, it provides developers with a variety of programming assistance functions. It supports more than 200 programming languages such as Java , Python , Go , TypeScript , JavaScript , etc. , covering front-end and back-end development , and can complete complex coding tasks from zero to one through dialogue collaboration.
Why choose Tongyi Lingma?
1 ) Multi-language support: Tongyi Lingma supports more than 200 programming languages, covering front-end and back-end development, providing great convenience for developers, especially in full-stack development and multi-language scenarios.
2 ) Powerful functional integration: In addition to code generation and completion, Tongyi Lingma also has functions such as multi-file level coding task automation, intelligent question and answer, code optimization, etc., which greatly improves development efficiency.
3 ) Large user base: Since its launch in November 2023 , Tongyi Lingma's plug-in downloads have exceeded 10 million times, making it one of the developers' favorite coding assistants.
2. DeepSeek-V3 and DeepSeek-R1 : Powerful model support
1. DeepSeek-V3 : An efficient basic model
DeepSeek-V3 is a high-performance language model with 671B parameters and a mixture of experts ( MoE ) architecture. It performs well in text generation, code completion, and multilingual tasks, and is particularly suitable for daily programming needs . Developers can easily call DeepSeek-V3 through Tongyi Lingma to quickly generate high-quality code snippets.
2. DeepSeek-R1 : Expert in Deep Reasoning
DeepSeek-R1 is a model that focuses on complex reasoning and deep thinking, and is good at handling mathematical problems, code analysis, and logical reasoning. It significantly improves reasoning capabilities through reinforcement learning technology and can provide precise analysis and solutions. In actual development, DeepSeek-R1 can quickly generate complex algorithm code to help developers solve difficult programming tasks.
3. Tongyi Lingma + DeepSeek : Powerful Function Combination
1. Intelligent code generation
Tongyi Lingma combines the DeepSeek model to quickly generate code snippets based on natural language descriptions. Whether it is a simple function implementation or a complex class structure design, Tongyi Lingma can handle it easily.
2. Multi - file level encoding task automation
Tongyi Lingma supports multi-file level coding tasks, such as requirement realization, problem fixing, and batch generation of unit tests . Developers can automatically complete these tasks through AI programmers, greatly improving development efficiency.
3. Model selection function
Tongyi Lingma has launched a new model selection function, supporting DeepSeek-V3 and DeepSeek-R1 models. Developers can freely switch models according to specific project requirements, further lowering the threshold of AI programming technology. For example, when dealing with complex algorithms, developers can choose the DeepSeek-R1 model; in daily development tasks, the DeepSeek-V3 model is a better choice .
4. Installation and Usage Guide
1. Install the Tongyi Lingma plug-in
Tongyi Lingma supports VS Code and JetBrains IDEs , and the installation process is very simple. Developers can search and download the Tongyi Lingma plug-in in the plug-in market, and restart the IDE after the installation is complete .
2. Log in to Alibaba Cloud
After restarting, you need to register and log in to an Alibaba Cloud account
3. Configuration Model
In Tongyi Lingma, developers can select DeepSeek-V3 or DeepSeek-R1 model through the input box. After selecting the model, Tongyi Lingma will generate code or execute tasks according to the selected model. (You can switch models in the lower left corner)
However, the experience is not very good, the response speed is very slow , and sometimes it can't even come out (probably because DeepSeek is too popular recently, many people use it, and the background resources are tight) . In order to avoid delaying work, you can temporarily switch to Qwen-2.5 as an alternative .
5. Application Cases in Actual Development
1. Fast code generation
Tongyi Lingma combined with DeepSeek model can quickly generate high-quality code snippets. For example, developers can enter " create a Python function for calculating addition, subtraction, multiplication and division " , and Tongyi Lingma will quickly generate the corresponding code.
2. Unit test generation
Tongyi Lingma's unit test generation capability has been significantly improved with the support of the DeepSeek model. Developers can enter " generate unit tests for the current function " and Tongyi Lingma will automatically generate high-quality test code.
3. Implementation of complex algorithms
The DeepSeek-R1 model is good at handling complex mathematical problems and logical reasoning. Developers can enter " implement a quick sorting algorithm " and Tongyi Lingma will generate efficient code.
VI. Conclusion
Tongyi Lingma combines DeepSeek-V3 and DeepSeek-R1 models to provide developers with powerful programming assistance functions. Tongyi Lingma can easily handle both simple code generation and complex algorithm implementation. Through the model selection function, developers can choose the most suitable model according to specific needs, further lowering the threshold of AI programming technology.
In the future, Tongyi Lingma will continue to support more models and provide developers with more open and diverse tool services. If you are looking for a tool to improve development efficiency, Tongyi Lingma is definitely worth a try !