The current AI hype is accompanied with a lot of predictions that software development will be taken over by AI solutions soon and most software developers will lose their jobs together with most other white collar workers. While I agree that AI solutions will have a significant impact on software development, I disagree with the notion that software development will be taken over by AI solutions anytime soon.

Recently I tried to catch up with the recent developments in platform engineering when I experienced once more a just too familiar déjà vu feeling. During my research, I came across the following definition of platform engineering:

In the previous post, we started with the observation that companies (still) want to break up their monoliths into microservices. If you ask them what they expect from this measure, they typically expect to cure the “big ball of mud” issue with microservices or to improve their time to market with them.

Time and again clients approach my colleagues and me with the request that they want to break up their monolith into microservices and they ask us how to do this best. Apparently, they are convinced that breaking up the monolith into microservices will solve some big problems they had for a long time.

Recently, I had two experiences within a few days that made me think regarding system dependability. In both situations, the systems acted detached from their surrounding reality and thus became confusing or even annoying – even if it would have been easy for them to detect their reality detachment.