AI in the place to be!

Description and use

Optimizing AI use in code automation: AI is applied only where interpretation is needed, while deterministic steps are handled by traditional automation.

Problem

Determining how much of a code automation task actually needs AI, especially when traditional automation can handle most steps.

Outcome

The deterministic pipeline handled all mechanical steps, while AI was invoked only for contextual Spanish translation, demonstrating efficient use of AI.

Workflow

• Locate text properties in designer files
• Generate standardized resource names
• Replace literals with resource references
• Modify .resx files
• Regenerate designer code
• Collect modified files
• Present changes for review
• Use AI to adapt texts into Spanish with context and preserve names
• Finalize deterministic process

Evidence

I start with a C# WinForms designer containing literal UI texts in English and automate the process of converting them into multilingual resources.

Source

The language model only enters the pipeline for the part where language understanding is actually useful: adapting the texts into Spanish while taking their context into account and preserving class and control names.

Source