AI Made Writing Code Easier. It Made Being an Engineer Harder
ivanturkovic.com
March 1, 2026
17 min read
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65/100
Summary
AI tools have simplified code writing through features like function autocompletion and feature scaffolding based on plain English descriptions. Despite these advancements, the complexity and demands of daily software engineering have increased significantly in recent years.
Key Takeaways
- AI tools have made writing code easier, but the expectations for software engineers have increased significantly, leading to greater complexity and demands in their work.
- A study found that 83% of workers reported an increased workload due to AI, with 62% of associates and 61% of entry-level workers experiencing burnout.
- Nearly two-thirds of engineers feel burnout despite the use of AI in development, and over a third reported decreased productivity even as companies invested more in AI tooling.
- Many software engineers are struggling with a shift in their roles from writing code to managing AI-generated code, which conflicts with their passion for coding.
Community Sentiment
Positives
- AI has significantly accelerated the code writing process, enabling engineers to ship projects much faster, which can lead to increased productivity and innovation.
Concerns
- The increase in code production due to AI tools has resulted in more complexity, a higher maintenance burden, and an increased likelihood of bugs, complicating the engineering process.
- AI has shifted the expectations of engineering roles, making jobs harder as it removes simpler tasks and forces engineers to tackle more complex challenges.
