Building a Slack-powered AI development agent with Kiro CLI and headless authentication
DevOps & Developer Productivity Blog
This article demonstrates building a Slack-integrated AI development agent using Kiro CLI with headless authentication, AWS Lambda, and API Gateway to eliminate context-switching during code analysis tasks.
- Use Slack slash commands to trigger Kiro CLI analysis without leaving chat
- Implement headless authentication with API keys stored in AWS Secrets Manager
- Deploy a two-Lambda architecture: Dispatcher acknowledges within 3 seconds, Worker runs async analysis
- Package Kiro CLI in a container image pushed to Amazon ECR due to 250 MB Lambda layer limit
- Verify Slack requests using HMAC-SHA256 signing secret validation
- Post results directly to Slack via response_url webhook within 30-minute expiration window
- Deploy infrastructure with AWS SAM template defining both functions and API Gateway endpoint
The solution eliminates engineering context-switching by bringing code analysis directly into Slack workflows, reducing time spent navigating repositories and terminals.
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