My musings on anything from leadership to technology to entrepreneurship and back.
Discover how GPT-4 can assist in writing tests for JavaScript code. In this blog post, we dive into a practical example of generating Jasmine tests for a given JavaScript function. Not only does the AI model understand the code's structure and logic, but it also creates detailed, meaningful tests. And here's a twist - this entire post, including the code examples and tests, was written by GPT-4 itself.
Many tech teams don't use any KPIs at all. Or they use too many metrics that are misleading. That does not lead to the right things being built. Let's check out an approach that can fix metrics paralyzation.
Growing tech organizations sometimes face the problem that they don't have team leads in each and every team. That's were the People Coach role can be really useful.
Most problems in your tech department are people problems and not tech problems. Let's checkout some research and real-life examples.
Not updating your software and systems will save a lot of time at the beginning. But it will hit you after a while and it will bring your engineering department to a halt. Let's discuss a simple solution.
Procastination sucks. But there are some ways to fight it! Let's check out some best-practices.
If you are a manager then OKRs are a great way to manager your teams. They allow you to set expectations straight and follow the progress of your teams over time. You should use them!
Let's check out some best practices for running great one-on-one conversations!
Deciding whether an engineering department rocks or sucks is surprisingly simple. Here are two simple characteristics to drive towards.
An engineering organization makes many decisions. Let's explore an approach that allows you to travel back in time and find out why decisions have been made in a certain way. That approach makes it also a lot simpler to think in a structured way about current challenges.