TL;DR I'm a non-coding engineer (operations background) who builds tools through AI collaboration. This post argues that non-coding engineers — not programmers — are positioned as AI's biggest beneficiaries in the current era. The diagonal-axis engineer thrives via 5 layers: dimensional crossover, value asymmetry, handover ability, ownership avoidance (AI-to-AI handover spec), and diagram-as-source. "Trivial" tech (pandas + Excel batch files) wins in business contexts because operators can pick it up and adapt it. The market value of the AI era boils down to the ability to travel across industries . 1. An Ode to "Trivial" Tech, Continued from This Morning This morning I wrote about solving the "can't send business data to LLMs" problem with one line of pandas + Faker. (See the earlier post: How I Built a Masking Tool Without Showing AI Any Real Data .) In the programmer world, that's: "pandas? Yeah, sure." "Faker? Old hat." "Column-wise shuffling? Standard de-identification." — completely trivial tech .…