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🟢 Transforming legacy code to CAP with the help of GenAI

Devtoberfest
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GenAI can help you with your cloud transformation by accelerating the migration of legacy code. We will demonstrate how new tools and even your own prompts can speed up migrations to CAP by factors using an example from the XS Classic world comprising xsodata and xsjs.

Speakers: Mamatha K H and Ajaysimha Durbhakula



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3 Comments
gregorw
Active Contributor

Thank you for the great session.

My question about  what GenAI Model is used was answered with: GPT-4o

But here is another one: How many Input / Output Tokens where needed for SHINE? (To estimate the costs).

KevinR
Developer Advocate
Developer Advocate

Hi @gregorw ,

thanks for your question. Let me find an answer and get back to you! 🙂
Cheers, Kevin

kesavan_s
Associate
Associate

@gregorw  For SHINE Application following are the tokens. Subjective to change in future as we plan to incorporate some LLM tasks on the converted CAP code for further optimisations.

Input Tokens Used: 518000
Output Tokens Used: 152000