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LLMs are eroding my software engineering career and I don't know what to do

LLMs are eroding my software engineering career and I don't know what to do

human-in-the-loop.bearblog.dev

June 7, 2026

9 min read

🔥🔥🔥🔥🔥

69/100

Summary

Large Language Models (LLMs) are impacting the job market for software engineers, causing concerns about career stability. A software engineer with ten years of experience, primarily in backend development, expresses uncertainty about the future of their profession due to the rise of LLMs.

Key Takeaways

  • LLMs are increasingly capable of generating design documentation and coding, which diminishes the value of domain-specific knowledge for software engineers.
  • The author experienced a decline in the importance of their accumulated knowledge in implementing complex systems due to the efficiency of LLMs.
  • Despite advancements in LLMs, the author believes that debugging remains a critical skill that cannot be easily replicated by AI.
  • The author was encouraged by their employer to utilize AI tools for coding and documentation, leading to a significant shift in their workflow and productivity.
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Community Sentiment

Negative

Positives

  • LLMs excel at tasks like refactoring and debugging existing code, showcasing their utility in enhancing software engineering processes.
  • The democratization of job opportunities for brilliant engineers without deep domain knowledge is a positive shift, allowing diverse talent to enter the field.

Concerns

  • LLMs frequently produce hallucinations, leading to significant risks in regulated environments, as seen in the FinTech sector.
  • The reliance on LLMs may undermine the value of domain expertise, potentially pushing out engineers who have invested years in specialized knowledge.
  • LLMs are often unable to handle complex domain-specific tasks effectively, resulting in errors that require human oversight to correct.

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