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Converting Codebases with LLMs


Leverage LLMs with context like code structure, libraries, and screenshots to streamline code conversion tasks and accelerate development.

If a team finds their application is struggling to meet performance benchmarks, migrating to a language known for speed or efficiency can provide a significant boost. We inserted the existing prototype codebase as context into our prompt by giving a bit of text explaining what it is and then injecting the source in a human-readable way. We found that the best way to approach the generation is from backend to frontend and starting at leaf node (bottom-up tree traversal) files (utilities, libraries, database layer, etc) then up to the more common and connected (API interface or routing) ones.

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