Summary
This discussion explores the challenges of reviewing code generated by AI, particularly when engineers view prompting LLMs as a new high-level programming language. The core issue is a disconnect during code review: while the 'programming' happens via natural language prompts, only the generated code artifact is reviewed, leading to questions about how to effectively assess the underlying intent and process.
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