AI Didn't Simplify Software Engineering: It Just Enabled Bad Engineering at Scale
By
birdculture
Toasted golden, schmeared with insight. Top of the rack.
Summary
The article argues against the prevailing industry narrative that AI (specifically LLMs) has made software engineering obsolete. While acknowledging that AI can write code and sometimes save time, the author contends that it primarily enables bad engineering practices by allowing inexperienced developers to produce low-quality code at scale. The piece pushes back on the idea that "anyone can do it now," asserting that genuine software engineering skills—understanding architecture, security, maintainability, and system design—remain essential. The author calls out the hype cycle and warns that relying on AI-generated code without proper engineering knowledge leads to technical debt and fragile systems.
Key quotes
· 3 pulledThe software industry is trying very hard right now to convince itself that software engineering is no longer necessary. Now anyone can do it. I'm calling bullshit!
Large language models can certainly write code, and sometimes that can be a time saver.
Rather than searching Stack Overflow and other sources I can go from description to code quickly. Sometimes it's spot on. Often times not.
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