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The ladder is missing rungs – Engineering Progression When AI Ate the Middle
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Overview
AI is achieving high levels of proficiency in tasks traditionally performed by early-career engineers, which were essential for developing judgment and intuition. The absence of these foundational experiences may hinder the growth of future engineers who would build and supervise advanced AI systems.
Summary from negroniventurestudios.com.
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negroniventurestudios.com
The ladder is missing rungs – Engineering Progression When AI Ate the Middle
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Community reactions
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Hacker News · negroniventurestudios.com
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Based on 5 sampled comments from this thread. Analyzed 2026-03-31.
- Praise: The demand for software is increasing, and as costs decrease, there will be a greater need for training new engineers, which is essential for sustaining innovation.
- Praise: The evolution of AI tools should ideally lead to more efficient development processes, allowing experienced developers to leverage their skills more effectively.
- Concern: The article's perspective on the necessity of low-level engineering tasks for training judgment is misguided, as many of these tasks were simply undesirable busywork.
- Concern: There is a significant disconnect in the article regarding the current capabilities of AI models, as experienced developers report faster workflows with modern tools.