How AI is reshaping the software engineer's workflow
By
Andrew Diamond
Summary
The article discusses how AI has transformed software engineering workflows. The author, a software engineer and novelist, contrasts the pre-AI development process (writing code from scratch, debugging manually) with the modern AI-assisted approach where developers prompt AI models to generate, review, and debug code. It explores the implications for programmer productivity, code quality, and the changing nature of the software engineering role — shifting from writing code to curating and validating AI-generated code.
Source
Hacker NewsHow AI is reshaping the software engineer's workflowadiamond.meKey quotes
· 3 pulledBefore programmers started using AI, a typical workflow looked like this: Someone asks you to add a feature to an existing codebase.
Because it has studied trillions of lines of publicly accessible source code, because code solves problems with testable right and wrong solutions, and because code is structured specifically to be understood by computers, AI has gotten very good at writing code.
The role of the software engineer is shifting from writing code to curating and validating AI-generated solutions.
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