This hands-on demo showcases the development of an AI agent designed to manage refunds with human oversight.
Businesses often face challenges in efficiently handling refund requests while ensuring customer satisfaction. An AI agent can streamline this process, but it requires careful design to incorporate human approval for sensitive transactions.
Outline the specific tasks the AI agent will handle, focusing on refund requests and the need for human approval.
Prepare the necessary tools and frameworks, including AWS Bedrock and LangChain, to facilitate the coding process.
Write the code to create the AI agent, integrating functionalities for processing refund requests and incorporating a human approval mechanism.
Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
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