AI Code Architecture Validator

As AI generates more code, developers need automated checks to validate architecture patterns, dependencies, and code structure compliance. A tool that scans AI-generated code against custom architecture rules and flags violations early.

The explosion of AI-generated code via Copilot, Cursor, and similar tools has created a real and growing problem: codebases accumulate structural debt faster than teams can review it, and standard linters don't enforce architectural intent. The closest substitute is something like Structurizr or ArchUnit, but neither is positioned around AI-generated code specifically or offers the kind of rule-customization that enforces team-specific conventions. The $1k–5k/mo revenue band is realistic for a dev-tools product selling to small engineering teams, though it implies staying at the lower tier of seats or usage without aggressive expansion revenue. The biggest risk is that this gets absorbed into existing static analysis platforms — SonarQube or Semgrep could ship a feature like this in a quarter, making it hard to hold a defensible position without deep specialization in a specific language ecosystem or framework.