Grounding AI in reality: Building reliable infrastructure development workflows

While LLMs offer exciting possibilities for infrastructure as code development, their hallucinations pose risks. Learn how to build reliable AI workflows by grounding LLMs with execution feedback, turning them into effective orchestrators of your development tools — suggesting changes, receiving validation feedback, and iteratively improving solutions. Leave with practical insights into transforming AI from a potential liability into a trustworthy development companion.

Level 300 - HashiCorp customer use cases based on specific journeys (typically multi-product)
Location: Cloud Engineering Track 2