What is GenAI? A Developer’s Guide to Generative AI (with Code Examples)

Heard the term GenAI buzzing around? Spoiler: it’s more than just hype.

If you’re a .net developer like me, you’re probably wondering:

“Can I actually use GenAI in my code?”
Short answer: Yes — and it’s easier than you think.

Let’s break it all down. And yeah, I’ll throw in some code.

What is GenAI?

GenAI stands for Generative Artificial Intelligence. Unlike traditional AI, which focuses on prediction and classification, GenAI creates things.

• Text (think Chatgpt)
• Images (hello DALL·E and Midjourney)
• Music
• Code (GitHub Copilot, anyone?)

It’s AI that writes, draws, sings, and codes. Sounds fun? It is.

Why Should .net Developers Care About GenAI?

Because GenAI can:

• Speed up development
• Help generate boilerplate code
• Assist with unit tests
• Summarise legacy code
• Generate documentation
• Even debug

Let’s look at how we can use GenAI in a .net app.

Using GenAI in .NET with Azure OpenAI

Microsoft has made it super easy to integrate GenAI with the Azure OpenAI Service. Here’s how to get started.

1: Set up Azure OpenAI

1. Create an Azure OpenAI resource
2. Deploy a model (e.g., gpt-35-turbo)
3. Grab your endpoint and API key

2: Install NuGet Package

dotnet add package Azure.AI.OpenAI

3: Code Example – Chat with GenAI

using Azure;
using Azure.AI.OpenAI;

var endpoint = new Uri("https://your-openai-endpoint/");
var apiKey = new AzureKeyCredential("your-api-key");

var client = new OpenAIClient(endpoint, apiKey);

var chatOptions = new ChatCompletionsOptions()
{
    Messages =
    {
        new ChatMessage(ChatRole.System, "You are a helpful .NET assistant."),
        new ChatMessage(ChatRole.User, "Generate a basic ASP.NET Core controller."),
    },
    Temperature = 0.7f,
    MaxTokens = 500
};

var response = await client.GetChatCompletionsAsync("gpt-35-turbo", chatOptions);

Console.WriteLine(response.Value.Choices[0].Message.Content);

Boom! You’re chatting with GenAI right inside your .NET app

Use Case: Generating Code

Ask it to write a controller, service layer, unit test, or even LINQ queries.

Example prompt:

“Write a C# method to paginate a list using LINQ.”

The GenAI model will return working code 9 out of 10 times. Of course, always validate before using it in production.

Best Practices for Using GenAI in Dev Work

Here are some tips:

• Use it for inspiration, not automation
• Always review the code it generates
• Don’t share sensitive data in prompts
• Use temperature settings wisely (lower = more accurate, higher = more creative)

Common Dev Use Cases for GenAI

The Future of GenAI for Developers

We’re heading toward an era where GenAI is your coding buddy. It’ll sit inside your IDE, write comments, optimise queries, and maybe even refactor your code for performance.

It’s not a replacement. It’s an enhancement. Like adding rocket fuel to your dev workflow

Summary

So, what is GenAI for us developers?

It’s a generative AI toolset that helps you code smarter, not harder. GenAI is here to stay, whether you’re using Azure OpenAI, ChatGPT, or GitHub Copilot.

Start small. Try an API call. Ask it to write a test. See how it fits in your workflow.

Trust me — once you get a taste of what GenAI can do, there’s no going back.

Explore more AI – How-to Guides