Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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2 solutions
anthropic-ai-runbook-automation-for-smb-devops-incident-recovery
SMBs lack dedicated DevOps: agent runbooks are either nonexistent or stale, causing prolonged downtime when AI agents fail. Manually writing and maintaining them isn’t viable.Automatically generate and test agent incident runbooks from your service repositories, then trigger them via durable workflows.
aws-bedrock-mcp-server-for-github-small-business-devops
Small dev teams waste time navigating GitHub's UI to gather information across repos, losing context when switching between tasks and needing answers from past pull requests and issues.Give your developers an MCP server that lets AI agents query GitHub repositories, issues, and pull requests using natural language through AWS Bedrock.