Nate Meyvis explores why AI-assisted coding hasn't produced visibly more great new software, offering several conjectural explanations: improvements are subtle (fewer bugs, better performance), most people don't adopt new software frequently, organizational politics slow adoption, AI creates ephemeral or private software rather than visible consumer products, and the industry may be making more software instead of making it better.
Background
Published October 2026, this essay addresses a common AI skeptic argument: if AI coding tools are truly transformative, where are the visible results? Nate Meyvis is a software engineer and writer who regularly publishes essays on technology trends.
- Source
- Lobsters
- Published
- Oct 13, 2026 at 05:14 PM
- Score
- 5.0 / 10