AI is removing the middle class of software engineering
blog.florianherrengt.com
August 12, 2026
7 min read
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68/100
Summary
AI tools are increasingly automating software engineering tasks, leading to a decline in the demand for mid-level engineers who traditionally oversee code quality and architecture. The result is a potential erosion of best practices in code management and an increase in technical debt within codebases.
Key Takeaways
- AI tools are enabling faster project development but are leading to a decline in code quality and engineering practices.
- Teams are increasingly relying on AI-generated code without fully understanding the underlying architecture, resulting in convoluted projects.
- The reliance on AI for coding tasks is causing a disconnect in team knowledge, making it difficult for team members to troubleshoot or maintain projects effectively.
- The rapid pace of AI-assisted development is creating a scenario where software engineering culture is deteriorating, leading to potential project failures.
Community Sentiment
Positives
- AI is enabling faster implementation of ideas, allowing teams to ship features in a fraction of the time it would normally take.
- The automation of coding tasks is seen as a boon for productivity, with some engineers noting that AI can handle implementation better than many human teams.
Concerns
- The rise of AI in software engineering is amplifying the impact of 'bad' engineers, leading to poor quality code being shipped without proper oversight.
- There's a growing concern that the influx of AI tools is gutting the personnel pipeline, leaving a shortage of experienced senior developers in the future.
- Many fear that the current job market is becoming less accessible for entry and mid-level engineers, as AI makes it easier to produce software but raises the bar for what constitutes a senior role.
