.NET 10 + AI = Magic: How I Built an Intelligent Web App in a Weekend

Hook/Intro:

What happens when .NET 10 meets OpenAI? You get a blazing-fast, smart, enterprise-grade web app—built over a weekend! In this post, I’ll show how I fused the latest .NET 10 features with ChatGPT/Azure OpenAI to create a responsive AI assis…


This content originally appeared on DEV Community and was authored by Nikhil Wagh

Hook/Intro:

What happens when .NET 10 meets OpenAI? You get a blazing-fast, smart, enterprise-grade web app—built over a weekend! In this post, I’ll show how I fused the latest .NET 10 features with ChatGPT/Azure OpenAI to create a responsive AI assistant in a real-world business app.

Why This Topic Works:

  • Combines the hype of AI with the stable release of .NET 10
  • Shows real use case → "weekend build" makes it accessible and engaging
  • Blends practical code, dev experience, and cool tech — a winning formula

What I Built:

  • A lightweight internal tool that allows users to:
  • Ask natural-language queries about enterprise data
  • Generate business reports using OpenAI GPT
  • Summarize customer feedback from SQL data
  • Draft internal documents and emails from structured input

Tech Stack:

  • .NET 10 Web API
  • ASP.NET Core Blazor (for UI)
  • Azure OpenAI GPT-4
  • Entity Framework Core
  • Serilog + Seq for logging
  • Redis for caching prompts

Features Used from .NET 10:

  • Minimal APIs v2 → rapid endpoint setup
  • JIT Compiler Boosts → snappy performance under load
  • Span enhancements → optimized string handling for GPT responses
  • C# 14 Field-Backed Properties → cleaner data models
  • System.Text.Json improvements → faster prompt & response serialization

ChatGPT Integration:

var response = await openAiClient.GetChatCompletionAsync(
    new ChatCompletionRequest
    {
        Model = "gpt-4",
        Messages = new List<ChatMessage>
        {
            new ChatMessage("user", "Summarize customer reviews from last week"),
        }
    });

Tip: Always cache frequent prompts with a smart key (e.g., user + time + intent).

What I Learned:

  • Prompt engineering is half the battle.
  • ASP.NET Core is incredibly fast for AI-backed endpoints.
  • .NET 10’s performance gains are visible when batching API requests.
  • Clean architecture + AI = readable, testable, maintainable.

Ready to Try?

Want the GitHub repo, tutorial series, or free starter template? Drop a comment!


This content originally appeared on DEV Community and was authored by Nikhil Wagh


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Nikhil Wagh | Sciencx (2025-06-03T21:09:37+00:00) .NET 10 + AI = Magic: How I Built an Intelligent Web App in a Weekend. Retrieved from https://www.scien.cx/2025/06/03/net-10-ai-magic-how-i-built-an-intelligent-web-app-in-a-weekend/

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" » .NET 10 + AI = Magic: How I Built an Intelligent Web App in a Weekend." Nikhil Wagh | Sciencx - Tuesday June 3, 2025, https://www.scien.cx/2025/06/03/net-10-ai-magic-how-i-built-an-intelligent-web-app-in-a-weekend/
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» .NET 10 + AI = Magic: How I Built an Intelligent Web App in a Weekend | Nikhil Wagh | Sciencx | https://www.scien.cx/2025/06/03/net-10-ai-magic-how-i-built-an-intelligent-web-app-in-a-weekend/ |

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