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In this blog I share my experience in building a Python REPL augmented with ChatGPT. I explore how the application is built, and speculate on software engineering patterns and paradigms that might emerge in systems built on Large Language Models (LLMs).
GEPL - Generate, Evaluate, Print, Loop Link to this section Introduction The Lisp programming language made REPLs (Read, Evaluate, Print, Loop) famous. REPLs are interactive programming environments where the programmer gets immediate feedback on lines of code they just typed.

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Langchain Prompttemplate , Software Engineering , Google , Large Language Models , Chat Model , Chat Models Langchain , Code Generation , Code Executed Prompt , Code Execute Prompt , Generated Code Executed , Toy Python ,

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