Stop AI Code Sprawl Before It Destroys Your Software Design
The New Stack, Thursday, September 10th, 2026
AI-generated code that works but breaks architectural boundaries creates Comprehension Debt; executable architecture tests in CI can stop it.
The New Stack warns that AI coding agents can produce functionally correct code that quietly violates domain boundaries, creating "Comprehension Debt" as teams lose their mental model of the system.
Documentation will not constrain agents, and human reviewers cannot catch drift across thousands of PRs. The author advocates Executable Architecture: encoding boundary rules as tests with Python tools like pytest-archon or import-linter that fail CI builds, then feeding failures back to the agent.
Complexity gates like Ruff, Radon or SonarQube and reviewing interfaces rather than every line further help.