Supercharge Your Development with Local AI: Unlock the Power of DeepSeek and CodeGPT
As artificial intelligence technology rapidly evolves, developers are increasingly looking to integrate AI into their workflows. While cloud-based AI services offer remarkable capabilities, they often come with issues like privacy concerns, data security risks, high usage costs, reliance on an internet connection, and limited customization options. By running DeepSeek locally, developers can tap into the power of AI to enhance development efficiency while maintaining full control over their data.
CodeGPT, based on GPT technology, is another revolutionary AI tool designed to assist software developers with tasks like code generation, optimization, debugging, documentation, and precise suggestions based on context. When integrated with DeepSeek, it forms a powerful local development environment that allows you to leverage AI without depending on external cloud services.
🔥This guide will show you how to set up and run DeepSeek and CodeGPT locally, using ServBay as the integration platform. You’ll be able to enjoy seamless, AI-assisted development in a private, secure, and cost-effective manner.
✅Step 1: Install ServBay and CodeGPT in VSCode
To get started, we first need to install Ollama, which allows us to run large language models (LLMs) on our local machine, and CodeGPT, a VSCode extension that integrates these models to provide intelligent coding assistance. While Ollama can be used directly, it often requires cumbersome command-line interactions and suffers from slow download speeds. For a more user-friendly experience, I recommend using ServBay, a platform designed to simplify this process.
What is ServBay?
ServBay is a comprehensive tool that makes running local development environments easy. It’s an intuitive graphical interface for managing multiple services like web servers, databases, and development tools on macOS. Unlike other platforms like XAMPP or Docker, ServBay is streamlined for AI development, providing developers with an environment that supports web development, Python, PHP, and AI models – all in one place.ServBay comes with built-in support for Ollama, so you can install it and run it seamlessly. It’s ideal for developers looking for a flexible local environment for their AI workflows.
How to Install ServBay:
1.Visit the ServBay website and download the installer for macOS (currently, ServBay is macOS-exclusive).
2.During the installation, make sure to select the option to install Ollama.
3.Once installed, you can easily install DeepSeek from the ServBay interface with just a few clicks.
Install CodeGPT in Visual Studio Code:
1.Open VSCode and navigate to the Extensions Marketplace (Cmd + Shift + X on macOS).
2.Search for CodeGPT and click Install.
3.Alternatively, create a free account at CodeGPT.co for additional features.
With Ollama and CodeGPT installed, you’re now ready to set up DeepSeek and begin coding locally with AI assistance.
✅Step 2: Download and Configure the AI Models
Now that you have ServBay and CodeGPT set up, it’s time to download the models that will drive your local AI environment.
Chat Model: deepseek-r1 (Choose the model you need independently) This model is optimized for smaller environments and can run smoothly on most computers. It’s designed for general code assistance, explanations, and debugging.
To download and use it:
1.Open CodeGPT in VSCode.
2.Navigate to the Local LLMs section in the sidebar.
3.Select Ollama as the local LLM provider.
4.Choose deepseek-r1: 7b（eg.）
Once the model is set up, you can interact with it directly in your code editor. Highlight code and use powerful shortcuts like:
•/fix – Fix errors or suggest improvements.
•/refactor – Clean up and restructure code.
•/explain – Get detailed explanations of any code snippet.
🧠2. Autocompletion Model: deepseek-coder (latest)
This model uses Fill-In-The-Middle (FIM) technology to intelligently autocomplete code, predicting and suggesting intermediate portions of functions and methods. As you write code, it will suggest the next part of the function or logic.
To install and use it:
1.In the Local LLMs section, select deepseek-coder: latest.
2.Once the model is selected, start coding in VSCode. The model will provide real-time suggestions as you type, making it easier to complete code blocks and entire functions.
✅Step 3: Enjoy Seamless, Local, and Private AI-Driven Coding
Once everything is installed and configured, you can start enjoying the benefits of local AI-driven coding.
🚀Why Local AI Is a Game-Changer:
Privacy: By running everything locally on your machine, you eliminate the risks associated with uploading sensitive code or data to the cloud. All your information stays secure on your computer.
**Efficiency: **With DeepSeek and CodeGPT, you can automate many tedious coding tasks, such as bug fixing, refactoring, and optimization, which drastically improves your development speed.
Cost-Effective: You won’t have to pay for cloud-based AI services or worry about usage limits. By running everything locally with ServBay, you ensure a one-time setup with no recurring costs.
⚙️By using ServBay to integrate Ollama, DeepSeek, and CodeGPT, you’ve set up an incredibly powerful and efficient development environment. With these tools, you can harness the full power of AI locally – without the need for external services – giving you a more secure, customizable, and cost-effective way to write code.
Whether you’re working on a small project or developing a larger application, this setup allows you to evolve as a developer more efficiently, boost your productivity, and write cleaner, optimized code.
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