Use ChatGPT's code evaluator to safely inspect, clean, and understand a zip file containing an unknown project before running it locally.
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.
Use GitHub Copilot to refactor code by renaming generic UI elements like 'button1' to meaningful names derived from their hardcoded text labels.
Prompt an AI model like ChatGPT to extract hardcoded language strings from source code and generate an i18n-compatible JSON resource file.
General-purpose LLMs can produce incorrect translations for ambiguous words like 'home' or 'resume' due to a lack of specific context.
Use specialized translation tools like DeepL with context hints and custom glossaries to resolve ambiguity and enforce brand-specific terminology.
Structure a front-end application using i18n keys and automate the translation of resource files with an API for a predictable and efficient workflow.
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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Ismaning, Germany
31:39Rainer Stropek
31:30Ramona Domen
32:26Krzysztof Cieślak
30:24Markus Walker
25:17Scott Hanselman
31:12Daniel Töws
24:24Damir
26:38Michael Niebisch
Jobs that call for the skills explored in this talk.
Collaboration Betters The World GmbH
Simon-Kucher & Partners
Berlin, Germany
KI Group
Frankfurt am Main, Germany
KI Group
Berlin, Germany
ADLON Intelligent Solutions GmbH
Ulm, Germany
