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I’m at Stanford and I research software engineering productivity. We have data on the performance of >50k engineers from 100s of companies. Inspired by @deedydas, our research shows: ~9.5% of software engineers do virtually nothing: Ghost Engineers (0.1x-ers)

I talk a lot on my podcast and in my newsletter about the correlation between success and an obsession with velocity. So I’ve been on the hunt for a framework that actually helps you measure and increase your team's velocity. I’ve finally found it. I'm excited to introduce you to Core 4: a unified developer productivity... See more

Meta’s LLM for software testing work is super exciting. This paper describes Meta’s TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successfully clear a set of filters that assure measurable improvement over the original test ... See more

I was one of the 16 devs in this study. I wanted to speak on my opinions about the causes and mitigation strategies for dev slowdown. I'll say as a "why listen to you?" hook that I experienced a -38% AI-speedup on my assigned issues. I think transparency helps the community. https://t.co/Qc7nSFj6kR