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AI should elevate your thinking, not replace it

koshyjohn.com

April 26, 2026

7 min read

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59/100

Summary

Software engineering is evolving, with future valuable engineers focusing on leveraging AI to handle routine tasks while maintaining a comprehensive understanding of the processes involved. This shift allows engineers to operate at a higher level, utilizing time savings for more strategic thinking and innovation.

Key Takeaways

The most valuable software engineers in the future will be those who leverage AI for routine tasks while maintaining a deep understanding of the work being done on their behalf.
AI can generate outputs quickly, but reliance on these outputs without comprehension leads to intellectual dependency and undermines long-term skill development.
The highest value in software engineering lies in judgment and problem-solving, not merely in code production, which AI can assist but not replace.
Early career experiences are crucial for developing foundational skills, and engineers must engage with challenges to build essential competencies.

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Community Sentiment

Mixed

Positives

AI can significantly accelerate coding tasks, producing results in hours that would traditionally take weeks, which highlights its potential to enhance productivity.
Using AI as an abstraction layer for coding can streamline the development process, especially for prototypes where deep understanding is less critical.

Concerns

The current experience of using AI feels exhausting, as it requires constant evaluation and refinement, detracting from the flow state that programmers typically enjoy.
Many engineers express concern that reliance on AI might lead to a lack of critical thinking skills, potentially worsening existing issues in software engineering.