Bringing Backend Engineering into AI Projects

Start from the application boundary

A model call becomes useful inside a larger workflow. Someone provides input, the application prepares it, a dependency runs, and the result reaches another person or system. I find it helpful to make those boundaries visible before adding more capabilities.

• What input does this operation accept?
• What information is sent to the model?
• How does the caller distinguish success from failure?
• What evidence would support using the output?

Use small projects to expose concrete questions

DevAgent gives me a compact setting for command parsing, prompt selection, file operations, and trace output. The voice integration project raises a different set of questions around reference audio, configuration, model loading, and the interface around inference. A social-data POC adds collection and grouping stages.

• DevAgent: how are a command, a prompt, and a trace connected?
• Voice workflow: where do input checks and model configuration belong?
• Social workflow: which collection and processing steps shape a generated summary?

Distinguish structure from behavior

A repository can show how modules are separated. A successful run can show that one set of inputs completed. Neither alone establishes that an application is reliable across inputs and operating conditions. I want project records to keep those levels of evidence separate.

The connection to system modernization

My current enterprise modernization work involves technical discovery and POC planning for a move toward .NET 10 and ASP.NET Core. There, the question is how to understand existing behavior and define representative validation before broader migration. AI can assist understanding and specification work, while the proposed interpretation still needs engineering review.

Write down what remains unknown

A useful project note can include unresolved questions. A deployment can exist while recovery behavior is still being checked. An inference interface can be implemented while model compatibility has not been revalidated. Recording that boundary gives future work a clearer starting point than a broad claim of completion.

The direction of this site

I am collecting these projects as engineering records: what the work is trying to do, what can be inspected, and what is still in progress. The aim is to make the work understandable enough for another developer to ask a useful question or compare an approach.