Shift infrastructure validation left by surfacing construct incompatibilities at file save and pull request time. Protect your downstream retail services from silent failures caused by shared library updates.
Overview
This Guidance helps retail platform teams eliminate manual cross-team impact assessment by deploying an AI agent that automatically validates shared AWS CDK construct changes against all downstream consumer applications before merge. When engineers modify shared infrastructure constructs in their IDE, the agent authenticates to GitHub, discovers all dependent repositories across e-commerce, point-of-sale, inventory, loyalty, and supply chain systems, then clones and tests each one against the proposed changes. The agent uses Amazon Bedrock AgentCore Runtime with Claude Sonnet to analyze dependencies, run CDK synthesis and tests, and post structured review feedback directly on pull requests with a clear blast radius summary. You reduce the risk of breaking changes reaching production during critical retail events like Black Friday and holiday promotions, while eliminating weeks of manual coordination and testing across multiple application teams.
Benefits
Detect breaking changes before merge
Automate cross-repository blast radius analysis
Eliminate manual testing across consumer repositories with an AI agent that discovers, clones, and validates all dependent services automatically. Reduce your change assessment time from hours to minutes.
Enforce consistent code review quality
Generate structured, repeatable compatibility reports on every pull request using managed AI agents on Amazon Bedrock AgentCore. Ensure no downstream impact goes undetected regardless of team size or repository count.
How it works
This architecture diagram shows how two AI agent layers protect shared CDK construct libraries from breaking downstream retail services. Amazon CloudWatch and AWS X-Ray provide observability across the pipeline.
Download the architecture diagram.
Step 1
A platform engineer edits a shared AWS CDK construct in Kiro IDE. The hook triggers the local guardian agent on file save.
The local agent authenticates to GitHub via a scoped credential, validates the construct against standards, and searches for consumer repos. It surfaces blast radius feedback to the developer in Kiro IDE.
The developer opens a pull request on the shared constructs library hosted on GitHub.
GitHub sends a webhook to Amazon API Gateway, secured by a resource policy scoped to GitHub's IP ranges. AWS Lambda verifies the HMAC signature and assumes a least-privilege AWS Identity and Access Management role.
AWS Lambda invokes the Strands agent on Amazon Bedrock AgentCore Runtime—a managed execution environment for AI agents. The agent calls Amazon Bedrock for LLM inference via Anthropic's Claude Sonnet.
The agent discovers all consumer repos (e-commerce, POS, inventory, loyalty, supply chain, promotions) via the GitHub MCP Server—an externally hosted MCP-compatible interface to the GitHub API.
The agent clones each consumer repository via the GitHub MCP Server, resolves the shared construct to the PR branch version, and runs AWS CDK synth and tests to detect breaking changes.
The agent posts a structured review comment on the GitHub PR via the GitHub MCP Server, summarizing breaking changes and blast radius impact across all retail services.
Deploy with confidence
Everything you need to launch this Guidance in your account is right here.
Let's make it happen
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.