Andreas Erben & Tim Cadenbach
Useful AI friends for developers – building a multilingual app
#1about 2 minutes
Inspecting untrusted code with ChatGPT's code evaluator
Use ChatGPT's code evaluator to safely inspect, clean, and understand a zip file containing an unknown project before running it locally.
#2about 6 minutes
Refactoring a poor UI layout using Azure AI Studio
Provide a system prompt and detailed instructions to an AI model in Azure AI Studio to refactor and improve a poorly designed Windows Forms UI.
#3about 2 minutes
Renaming UI elements programmatically with GitHub Copilot
Use GitHub Copilot to refactor code by renaming generic UI elements like 'button1' to meaningful names derived from their hardcoded text labels.
#4about 3 minutes
Extracting hardcoded text for internationalization with AI
Prompt an AI model like ChatGPT to extract hardcoded language strings from source code and generate an i18n-compatible JSON resource file.
#5about 1 minute
Understanding the limits of general LLMs for translation
General-purpose LLMs can produce incorrect translations for ambiguous words like 'home' or 'resume' due to a lack of specific context.
#6about 5 minutes
Improving translation accuracy with context and glossaries
Use specialized translation tools like DeepL with context hints and custom glossaries to resolve ambiguity and enforce brand-specific terminology.
#7about 5 minutes
Automating the i18n process in a JavaScript app
Structure a front-end application using i18n keys and automate the translation of resource files with an API for a predictable and efficient workflow.
#8about 3 minutes
Q&A on AI code security and decoupling translations
The speakers address audience questions regarding the security of sharing code with AI services and best practices for decoupling language resources using i18n standards.
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