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
🔥🔥🔥🔥🔥
76/100
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.
Coverage & discussions
Hacker News · human-in-the-loop.bearblog.dev
Community discussions
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Community Sentiment
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.




