WhatA structured specification language that sits between natural language and code, giving developers precise control over AI-generated output without writing the code themselves.
SignalThe post argues that natural language is too imprecise for complex software while raw code remains necessary — there is a missing middle layer that lets developers express intent with the specificity of code but the speed of prompting.
Why NowAI coding agents have hit mainstream adoption but users are discovering that English prompts produce unreliable results for anything beyond trivial tasks, creating urgent demand for better input formats.
MarketEvery developer using AI coding tools (tens of millions); competes with raw prompting in Cursor/Copilot/Claude Code. Gap: no one owns the 'spec layer' yet.
MoatNetwork effects from a shared spec language — if teams adopt it, it becomes the standard interchange format between humans and AI agents, similar to how SQL became the database lingua franca.
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