This podcast episode introduces Guardrails, a tool that helps developers control AI outputs by enabling them to specify and enforce constraints. It also explores the challenges and considerations involved in developing guardrails, SLAs, and ensuring authenticity in LLM outputs. Finally, it discusses the rewards and challenges of contributing to and maintaining open-source projects, as well as the potential of AI-generated code and self-healing software.
