AI is automating some aspects of SQL development, but SQL developers are still essential. Tools like AI-powered query optimization, automated database tuning, and natural language-to-SQL converters can speed up work, but they lack deep problem-solving abilities.
AI can assist in writing and optimizing queries, but data modeling, security management, and troubleshooting require human expertise. Instead of replacing SQL developers, AI is enhancing their efficiency, allowing them to focus on architecture, data governance, and performance tuning.
How AI Impacts SQL Development:
Automates basic query generation & optimization.
Enhances performance tuning but lacks strategic thinking.
SQL developers remain essential for security & complex data modeling.
Branislav Totic
Fullstack Developer
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Milena Brankovic
Fullstack Developer
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Nemanja Milićević
Data Scientist
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Darko Simic
Fullstack Developer
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Marko Tadic
iOS Developer
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Emir Salihović
Fullstack Developer
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