1 hour ago · Tech · 0 comments

After the detour we made the last few weeks exploring the state of the hardware and software stack of local AI inference, I want to come back to one of the topics I promised to address in my posts about agent engineering. In this post I want to try to answer a question that I’ve been asking myself since the last time I wrote a line of code by hand. This is a question that I feel has been bugging everyone in the tech sector in the last few months: how is the role of software engineers changing in the age of LLms, agents, and wide-spread intelligence?Let me share my view on the matter.How I got hereMy relationship with AI coding tools has gone through different phases in the past year and a half. I think it is worth sharing my personal journey because I suspect most of you may have gone through similar phases.My first phase in this journey was the “LLM as a rubber duck” phase. When ChatGPT, Gemini and Claude came out, I’d paste in some code, describe a problem to the model, and argue…

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