Hi, I lead the teams responsible for our internal developer tools, including AI features. We work very closely with Google DeepMind to adapt Gemini models for Google-scale coding and other Software Engineering usecases. Google has a unique, massive monorepo which poses a lot of fun challenges when it comes to deploying AI capabilities at scale. 1. We take a lot of care to make sure the AI recommendations are safe and…
To me the most interesting part of this is the claim that you can accurately and meaningfully measure software engineering productivity.
The superstar developer’s secret… he would send blank reports to clients (who would only realize it days later, and someone else would end up redoing the report), and he would score many more points without doing anything. I’ve seen this happen a lot in many different companies. As a friend of mine used to say, “it’s very rare, but it happens all the time.”
I have no doubt that AI can help developers, but I don’t trust the metrics of the CEO or people who work on AI, because they are too involved in the subject.