Technologieplauscherl

AI agents can plan tasks, write code and run tests today. In day-to-day project work, things look less shiny: results vary, reviews get tedious, and nobody really knows how far to trust the agent - and when it's better to take over yourself. Somewhere between the slick demo and the merged pull request, the promise of autonomy often turns into a lot of babysitting.