Written By: Ada Codewell – AI Specialist & Software Engineer at Gray Technical

Stop Wasting Money on AI Subscriptions: Run Your Own Local Coding Assistant

Are you tired of paying exorbitant fees for cloud-based AI coding assistants like GitHub Copilot? You’re not alone. Developers worldwide are seeking alternatives to cut costs and maintain privacy. The solution? Visual Studio AI Assistant by Gray Technical.

The Problem with Cloud-Based AI Coding Assistants

Cloud-based AI coding assistants like GitHub Copilot have revolutionized the way developers write code. However, they come with significant drawbacks:

• Subscription fees that add up over time
• Privacy concerns due to sending code to external servers
• Limited control over AI models and updates
• No offline capabilities

Why This Problem Happens

The main reason developers face these issues is the centralized nature of cloud-based services. Companies like GitHub control both the pricing and the data, leaving users with limited options. Additionally, the lack of offline support means developers are always dependent on an internet connection.

Real-World Examples

Example 1: Expensive Subscriptions

Consider John, a freelance developer who uses GitHub Copilot for his projects. He pays $100 annually for the service. Over five years, that’s $500—money that could have been invested in better hardware or other development tools.

Example 2: Privacy Concerns

Sarah works on a highly confidential project for her company. Using GitHub Copilot means sending sensitive code to GitHub’s servers, which poses a significant security risk. Any data breach could result in severe legal and financial consequences.

Example 3: Lack of Offline Support

Michael often works from remote locations where internet access is unreliable. Relying on cloud-based AI tools means he can’t always get the assistance he needs when he’s offline, slowing down his productivity.

Step-by-Step Solution: Visual Studio AI Assistant

Visual Studio AI Assistant offers a robust alternative to cloud-based solutions. Here’s how you can make the switch:

Step 1: Download and Install

Visit the Visual Studio AI Assistant page, download the software, and follow the installation instructions. The tool is compatible with Visual Studio 2022 Community, Professional, and Enterprise editions.

Step 2: Configure Your AI Provider

After installation, configure your preferred AI provider. Visual Studio AI Assistant supports various providers like Ollama, OpenAI, and Claude. You can switch between them anytime without reinstalling.

Step 3: Start Coding with AI Assistance

Use the AI chat panel to ask questions about your code, get inline completions, and review suggestions in a diff view before applying them. You can also fix build errors and generate git commit messages automatically.

Extra Tip: Utilize Data Chunker Pro for Large Codebases

For large codebases, consider integrating Data Chunker Pro. This tool organizes and converts entire codebases into usable knowledge that AI can understand, making it invaluable for diagnosing source code.

Conclusion

Visual Studio AI Assistant provides a cost-effective, privacy-focused solution for developers seeking to reduce their dependence on cloud-based AI tools. By running your own local AI coding assistant, you save money, maintain control over your data, and enjoy the flexibility of offline capabilities.

Ready to take control of your development environment? Check out Visual Studio AI Assistant today and start coding smarter, not harder.

Written By: Ada Codewell – AI Specialist & Software Engineer