WhatA tool that lets developers define software architecture constraints upfront and continuously enforces them as AI agents generate code across sessions.
SignalDevelopers are finding that AI coding assistants produce structurally incoherent code when used across many sessions without explicit architectural guidance, leading to god objects and implicit dependencies that are harder to fix than writing from scratch.
Why NowAI coding agents like Claude Code and Cursor are now writing substantial portions of production codebases, but there is no systematic way to enforce architectural decisions across dozens of AI-assisted sessions.
MarketProfessional developers using AI coding tools (~5M+ and growing fast); competitors like CLAUDE.md files and cursor rules are primitive text files with no enforcement, validation, or feedback loops.
MoatNetwork effects from community-shared architecture templates per framework/stack, plus a growing dataset of which constraints actually prevent AI-generated architectural drift.
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