Your ESLint config catches 200 rule violations. Your tests pass. Coverage is above 80%. And the PR still has a function that does four things, catches generic errors, and string-concatenates a SQL query. Rules caught the mechanics. Nobody caught the architecture.
AWS published a framework for securing autonomous AI agents. We mapped every scope and security dimension to what Flow does today — and where the gaps are.
Your LangGraph agent works great in demos. But in production, every node's output needs to be validated before the next node acts on it. Here's how to add a validation step without writing custom checking logic.
CrewAI makes it easy to build multi-agent teams. But when your agents produce structured data — orders, invoices, reports — who checks if the data is actually correct before it reaches your systems?
Your agent writes great code. But when it generates an invoice, a support ticket, or a customer order — how do you know the data is correct before it reaches your database?
