AI is replacing Software engineering completely wrong! It's evolving into it.
As a Junior software engineer, I have noticed the skills I am building everyday are exactly the essential foundation for AI engineering.
APIs and backend systems (FastAPI, PostgreSQL, Redis) the infrastructure that serve AI models.
Validating and handling data cleanly, the fuel for any ML pipeline.
Testing debugging discipline, essential when working with non deterministic AI outputs. Python fluency the main language of AI.
AI engineering is an extention, not a leap, you keep your fundamentals and add prompting model integration, and production LLM on top.
The thriving engineers are not the ones who fear AI. They are the ones who learn to laverage it, to their advantage.
Anyone else making this transaction? I'd love to know how you are approaching it.
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