Articles

Every few months, a new wave of headlines declares that AI is about to make software developers obsolete. For .NET and full stack developers in particular, the message can feel personal — after all, tools like GitHub Copilot, Cursor, and Claude can now write controllers, scaffold APIs, and generate entire React components in seconds. But a closer look at how software actually gets built shows a different story: AI is changing the job, not eliminating it.

Claude Code has quickly become a popular AI coding assistant for generation, debugging, and architecture reasoning — but cloud subscriptions and token billing can add up fast. This guide shows how to run Claude Code locally with Ollama, pointing it at open models like Qwen3-Coder at 32B, 7B, or lightweight 3B tiers depending on your hardware. You'll install Claude Code and Ollama on macOS, Linux, or Windows, pull models, configure environment variables to redirect the API to localhost:11434, and understand the trade-offs between cost savings, privacy, and local model quality.

Modern web apps rely heavily on images, but writing meaningful captions and alt text for every upload is tedious manual work. This article shows how to integrate Google's Gemini AI into ASP.NET Core MVC (.NET 10) to automatically analyze uploaded images and generate SEO-friendly captions and alt text in multiple languages. You'll build a GeminiService that sends base64 image data to the API, wire up upload and result views, register dependencies in Program.cs, and see how AI-generated descriptions improve accessibility scores and Google Image Search visibility.