Everyone talks about using AI to write new code, but the real enterprise headache is existing infrastructure. This talk explores how senior backend engineers can design strict testing and architectural "guardrails" (Quality Gates) around AI agents to modernize legacy systems safely.

Key Takeaways:
How to structure "Prompt-to-PR" workflows that automatically run comprehensive integration tests before a human even reviews the code.
Strategies for using AI to analyze, document, and break down monolithic backend services into microservices.
Real-world lessons on catching hallucinated dependencies or insecure code before it hits the main branch.