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.