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AI should elevate your thinking, not replace it (koshyjohn.com)

868 points by koshyjohn · 79 days ago · 602 comments on HN

Article summary

The article discusses the impact of AI on software engineering, highlighting the importance of using AI to augment human thinking rather than replace it. It argues that engineers who use AI to avoid thinking and understanding will ultimately be less valuable than those who use AI to elevate their thought process. The article also notes that the ability to distinguish between polished output and real judgment will be a key trait of strong engineering leadership in the AI era. This distinction will be crucial in identifying and rewarding engineers who truly understand the work they are doing.

Main themes

  • AI in software engineering
  • Critical thinking and problem-solving
  • Engineering education and training
  • Leadership and management
  • Automation and augmentation

What commenters say

  • Some engineers believe that a degree is not a guarantee of competence and that many graduates lack critical thinking skills.
  • Others argue that it is possible to graduate with an engineering degree without being able to think critically or solve problems.
  • There is a concern that AI will make it harder for leaders to detect incompetence and that it may even enable mediocre engineers to advance in their careers.
  • Some commenters think that the tech industry has lost its way and that AI is not the primary cause of its problems, but rather a symptom of deeper issues.
  • It is suggested that a good engineer should be able to produce something of value, regardless of their educational background or degree.
  • The importance of distinguishing between polished output and real judgment is emphasized, with some arguing that this will be a key trait of strong engineering leaders.
  • There is disagreement about the value of formal education in software engineering, with some arguing that it is not necessary and others believing that it provides a foundation for critical thinking and problem-solving.
  • Some commenters believe that the practice of software engineering is not well-taught in universities and that many graduates are not prepared for the realities of the field.