About
SkeletIQ is the architecture layer for AI coding agents.
AI coding agents now write a large share of production software, but they start from a chat message rather than a reviewed design. There is no design artifact, so there is nothing to review before the code is written, nothing to disagree with, and nothing to check the finished code against. Teams ship systems nobody evaluated, and within months the code and the original intent quietly diverge. Existing tools generate a diagram and stop, none of them validates what it generates or stays connected to what gets built.
With SkeletIQ, Engineering teams describe a system in natural language; we generate the architecture as a structured component graph, run a deterministic critic over it — fan-out, synchronous-chain depth, blast radius, missing trust boundaries — and revise the design until the findings clear. We also run a deterministic capacity simulation that propagates a stated request rate through the graph to find the first component that saturates, and estimate cost across three cloud providers. The released version is served to the team's coding agent over the Model Context Protocol as a brief and a build order, and the same design is checked back against the code that was written to detect drift.
SkeletIQ turns a prompt into a system architecture on an editable canvas, then critiques it, costs it and orders the build. Its MIT MCP server writes the design into your repo's AGENTS.md and reports where your coding agent drifted.