The 80% Problem: The Last 20% Is Where the Engineer Used to Live
This article explores the limitations of generative AI in software engineering, noting that while AI excels at creating initial drafts, it struggles with the complex edge cases and operational realities that define the final stages of development. The author argues that relying on AI for the bulk of coding may hinder the development of critical engineering judgment.
Why it matters
It highlights a potential long-term skill gap in the software industry as developers increasingly rely on AI to handle foundational tasks.
AI gets you to a working draft fast. The trouble is what the missing fifth contains, the edge cases and operational reality that used to teach engineers their judgment, and who builds that muscle now.
The article provides a balanced, analytical perspective on a technical trend without political or ideological framing.
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