AI natural language models have the potential to significantly improve the developer experience by automating tedious tasks & assisting with code and configuration generation. In this talk, we will explore the various tools that utilize these models to streamline the work of platform engineering teams, making their work with K8s, OPA and Helm more efficient and allowing them to focus on higher-value tasks. We will discuss the benefits of using AI for code & config generation and the potential challenges for implementing these technologies in production. Through real-world examples & use cases, we will demonstrate the impact that these tools can have on productivity & how they enable better developer experience. By leveraging the power of AI natural language models, devs can work more efficiently & effectively, ultimately leading to better outcomes for the entire organization.