Software Engineering in the Age of AI
TLDR Dev ● Covered by 3 sources
A software engineer describes how AI code generation has transformed the developer workflow from creative problem-solving to reviewing and editing AI-generated code, comparing it unfavorably to a novelist becoming an editor of student work. The shift eliminates the flow state that made creative work engaging and has caused the author's coding skills to deteriorate noticeably over months of relying on AI. The long-term consequences include the erosion of junior developer training pipelines, atrophy of institutional knowledge needed to verify complex AI work, and the drying up of free public knowledge sources like Stack Overflow as people replace community contributions with private AI tools.
Why it matters
The integration of AI into software engineering has transformed the developer's workflow, shifting the focus from creative coding to supervising AI-generated code. This reliance on AI risks eroding skills and knowledge among developers, as complex problems may be sidelined.
