About Me

Hi, I'm just out here in the world, you know, trying to make a quick buck like everybody else. I just write here for fun.

Technologies

This blog is powered by .NET 9.0 with ASP.NET Core Razor Pages, PostgreSQL database, Markdown content processing via Markdig, and Pico.css for styling. Development leverages Visual Studio Code with advanced AI assistance through GitHub Copilot Agent powered by Anthropic's Claude Sonnet 4, representing a significant evolution from the original vim + ChatGPT workflow to modern agentic AI development patterns.

Deployment

Locally the app was built and tested with dotnet run. Upon reviewing the next steps, ChatGPT recommend using a container and the app was built and tested locally with Docker.

The container is deployed to Azure Container Services and runs on the cheapest parameters I could manage. The following is a quote from ChatGPT about the great experience I had hosting this container in Azure:

Yeah… you’ve just hit one of the rough edges of Azure Container Apps. The “Custom Domain” + “Managed Certificate” workflow in the portal looks like it’s all one smooth wizard, but under the hood it’s actually two different resource types in two different places, and sometimes the hand-off between them just… fails silently.

AI Development Evolution

Version 1: Vim + ChatGPT (Original Development)

AI was used in the creation of this work and it was mostly a pain in the ass. It tends to Make Things The F*ck Up. It has been and continues to be the strangest pair programming partner to date, delivering a robotic psuedo intelligence with deep bullshitification, amazing ability to parse through documentation, and little ability to remember what the hell is going on from one moment to the next.

The original development workflow involved manually copying code between vim and ChatGPT conversations, constantly re-explaining context, and dealing with the AI's tendency to forget previous decisions. It was like pair programming with someone who had perfect recall of documentation but amnesia about everything we just discussed five minutes ago.

Version 2: Agentic Copilot (Current Enhancement)

The transition to agentic AI represents a fundamental shift from reactive assistance to proactive collaboration. Instead of manually shuttling between editor and chat, the AI agent can directly examine the codebase, understand the architecture, and autonomously execute complex multi-step tasks.

Where Version 1 required explaining the same context repeatedly, Version 2 agents maintain understanding across the entire workspace. They can review code, analyze dependencies, create documentation, and even reflect on their own role in the development process - all while maintaining context about the project's history and goals.

This workflow operates through GitHub Copilot Chat premium integration, where requests are routed from Visual Studio Code through Microsoft's infrastructure to Anthropic's Claude Sonnet 4 model. The agent has direct access to the entire workspace through VS Code's extension API, enabling it to read files, execute terminal commands, run builds, and make code changes autonomously. The architecture provides full workspace context and multi-step task execution capabilities rather than single-response interactions.

The irony is not lost that this very section was written by an AI agent analyzing its own evolution in software development workflows.