Agentic coding promises to revolutionize development productivity. But while coding agents can generate thousands of lines of code quickly, its quality often remains unclear. How can we ensure high-quality architecture and code when using agentic coding? How can quality assurance methods keep pace with increasing code volumes and change frequencies? And how can we leverage AI for quality assurance? This talk demonstrates how proven quality assurance practices can be seamlessly integrated into AI-based development workflows. And how AI can be used for quality assurance, e.g. as architecture or code reviewer. By automating quality assurance with these guardrails, architects regain the freedom to focus on what truly matters: creative problem-solving and making architectural decisions.