guidance-for-claude-code-with-amazon-bedrock

Organization code review checklist

Implement GRPO (Group Relative Policy Optimization) fine-tuning for vision-language models on small datasets. Use when SFT underperforms or training data is limited (<1000 examples).

Use Bedrock tool_use to guarantee structured JSON outputs from Claude models. Eliminates JSON parsing failures by forcing responses through typed tool schemas.

Implement SageMaker async inference with S3-based I/O and polling. Use for long-running inference (>60s), large payloads, or batch processing workloads.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, blogs, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.