Generating "humanlike" code for our backend SDKs

Logan Gore's article details the process undertaken by Stytch to automate the generation of their backend SDKs from protobuf specifications, aiming to produce code that appears "humanlike" and is easier for external developers to use and debug. The project evolved from a hackathon idea into a comprehensive solution that employs Python to build abstract syntax trees (ASTs) from JSON specs, addressing numerous edge cases such as utility files and nested sub-products, to ensure consistency across SDKs. The code generation process leverages both templating and tree-walking techniques, culminating in a hybrid model that allows for efficient updates and extension to new languages. This approach significantly reduces the manual effort required from Stytch's developers, while maintaining up-to-date and consistent SDKs for their clients, showcasing the utility of internal rules enforcement and code translation to streamline SDK maintenance and expansion.

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