Heike Terhechte

Moin *

I enjoy figuring things out.

Over the years, that curiosity has taken me through academia, data science, software engineering and engineering leadership. Today I am a Director of Engineering at MOIA, where I spend much of my time thinking about people, systems and increasingly, AI.

I do not consider myself an expert on most of the things I write about. This blog is simply a notebook of things I’ve learned, questions I explored and ideas I wanted to think through more carefully. Some articles grew out of questions I found myself answering again and again. Others started as small experiments or observations that refused to leave my head.

If something here gives you an idea, saves you some time, or helps you look at a problem differently, then it has done its job.

Heike Terhechte

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AI

Trying to Keep Up With AI

I used to know what keeping up with technology meant. In Python or data science, it meant reading release notes, trying a few libraries, following a few people whose judgment I trusted and occasionally reading a paper that seemed relevant. There was always more to learn, but the shape of the work was understandable. Most changes were incremental. The important developments were usually visible. If I fell behind for a few weeks, I could catch up.

Leadership

The Attention Economy Inside Engineering Organizations

Together with our Staff Engineers and Tech Leads, we had mapped technical risks, organizational bottlenecks and initiatives worth addressing. We used the classic Eisenhower Matrix in a workshop and agreed on what was important, what was urgent and which topics we wanted to address first. The week afterwards, none of the topic were in my calender.