The premise that Amazon Bedrock simplifies AI application development is valid, but it also risks underestimating the need for foundational understanding. Relying solely on a managed service can lead to a disconnect with underlying AI principles, which may present challenges in troubleshooting or optimizing performance when necessary. How do you see developers maintaining their expertise while embracing such abstracted tools?