09 May, 2026 I Here is k10s: https://github.com/shvbsle/k10s/tree/archive/go-v0.4.0 234 commits. ~30 weekends. Built entirely on vibe-coded sessions with Claude, whenever my tokens lasted long enough to ship something. I'm archiving my TUI tool and rewriting it from scratch. k10s started as a GPU-aware Kubernetes dashboard (and my first foray into building something serious with AI). Think k9s but built for the people running NVIDIA clusters, people who actually care about GPU utilization, DCGM metrics, and which nodes are sitting idle burning $32/hr. I built it in Go with Bubble Tea [1] and it worked. For a while... :( I learned over these 7 months is worth more than the 1690 lines of model.go I'm throwing away. And I think anyone doing serious vibe-coding can benefit from this, because this part doesn't surface much (I feel it gets buried under the demo reels and the velocity wins). tl;dr: AI writes features, not architecture. The longer you let it drive without constraints, the worse the wreckage gets.…