We confront the uncomfortable truth that the systems we build to improve things often make them worse, a tension Alexandra Vasquez highlights when she argues that AI will faithfully replicate our internal ambiguity unless we first fix our data models. While Nicolas Garnier shows how AI can subtly accelerate creative work without replacing human intuition, Heenesh Patel challenges us to admit our complicity in building addictive engagement systems that prioritize metrics over human costs. We then dig into the community's struggle between climbing the corporate ladder and loving the craft, asking whether we should try to fix these broken systems from within or build our own products to escape them entirely.
mcp is too complicated (r/UXDesign) — Tools are evolving faster than our understanding, creating confusion about how backend connectors integrate with design software.
