Hi, I am Flo

When AI produces most of the artifacts, the job shifts to prioritising, saying no, judgment and feedback. Not only for engineers. Why attention and agency are now on everyone, and the hard question of how much companies should help people get there.

Every company has some kind of AI strategy, but almost none has a clear picture of what it now expects from its engineers. Two groups of engineers, a widening gap and a lot of open questions for the people who have to evaluate them.

A frustrated Reddit post about being a condom between an AI and production made the rounds in our team. Here is why I think the opposite is true and what it means for how we review code, plan work and think.

Get from idea to prototype to production faster and more efficiently. Our experience with the BETH stack, how our improved tech stack looks like, and which type of projects can profit from this enhanced approach.

Creating a sense of ownership in the team is crucial for the success of a project. What's the right angle?