AI Coding Widens Output Variance: Shipping Raw AI Code Is "Manufacturing Other People's Debt"
dotey · x · 2026-09-01
Responding to the observation that AI coding has increased variance in code quality, @dotey argues: hand-written code capped output at a few hundred lines a day, but now thousands of lines let quality gaps blow up. Once AI makes generation nearly free, execution stops being the bottleneck — what separates engineers is technical judgment (knowing what to build, what "good" looks like, how to verify) and ownership.
Weak judgment can be patched with AI-assisted review; the worst behavior is skipping requirements analysis, design, and acceptance — committing raw AI output and offloading all review, debugging, and maintenance cost onto the team. Such people look hyper-productive but are "mass-producing other people's debt with AI." AI can't bear responsibility; when things break, humans still take the blame.
Companion take (@myanTokenGeek): AI is a lever amplifying both capability and error; it demands system-level strategic thinking plus very concrete skills — nothing the education system currently teaches.
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