The original title is "AI Agents Don't Fix Bad Architecture. They Accelerate It."

Short summary

AI agents generate code at remarkable speed but cannot invent architectural boundaries — they simply build unmaintainable systems faster. The core issue is semantic ownership: who owns state, who triggers invalidation, and what is source of truth versus derived result. The author's open-source project signal-kernel demonstrates that explicit architectural boundaries give agents clearer guardrails and better outcomes.

• •AI agents accelerate bad architecture, not fix it — semantic boundaries matter more than code generation speed
• •Unclear data ownership creates invisible time bombs: state consistency, invalidation, source of truth, async lifecycle
• •signal-kernel project shows explicit boundaries give agents natural guardrails for better decisions

Generated with AI, which can make mistakes.