We’ve all built a link shortener to learn a new language, but in the age of GenAI and Cloud-native orchestration, a simple redirect isn't enough. What if your link shortener didn't just shorten a URL, but understood its content, crafted a tailored social media campaign, and scheduled the posts automatically?

In this session, we take the classic "Link Shortener" project and supercharge it using the modern .NET stack. We will walk through the journey of building a Social Distribution Engine, a project that serves as the perfect playground for mastering Aspire, Azure OpenAI, and background service orchestration.

We’ll dive deep into the technical architecture, including:

The Intelligent Pipeline: Using Azure OpenAI to scrape destination content, summarize key takeaways, and generate platform-specific social media copy (X, LinkedIn, Mastodon).

Cloud-Native Orchestration: How Aspire simplifies the "wiring" of our web frontend, Redis cache, and background worker services without a single manual connection string.

Scheduled Execution: Implementing reliable background processing to handle rate-limiting and auto-scheduling for social API broadcasts.

Observability by Default: Leveraging the Aspire dashboard to trace an incoming link through the AI generation process to a successful social post.

This isn't just a "how-to" on link shortening; it’s a masterclass in using .NET to build integrated, AI-driven workflows that solve real-world productivity gaps.