Why are companies adopting AI coding tools like AWS Kiro, GitHub Copilot, and Cursor when they often rely on Claude underneath?

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Summary

The article discusses why enterprises adopt AI coding tools like AWS Kiro, GitHub Copilot, and Cursor even when they rely on Claude as the underlying model, focusing on enterprise needs such as security, compliance, and workflow integration.

Many organizations are adopting AI coding assistants such as AWS Kiro, GitHub Copilot, Cursor, and similar tools. However, several of these platforms appear to use underlying models like Claude for code generation and reasoning. If the core coding intelligence comes from Claude, what advantages do companies gain by using Kiro, Copilot, or Cursor instead of accessing Claude directly? Is it mainly about enterprise security, compliance, workflow integration, governance, cost management, vendor relationships, or something else?
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Agent Toolkit for AWS helps AI coding agents build, deploy, and manage applications on AWS, with plugins for Claude Code, Codex, Cursor, and Kiro.