I built an intelligent error analysis system that automatically investigates AWS Lambda failures using AI agents. When a Lambda function fails, the system autonomously gathers source code, execution logs, and searches documentation to provide root cause analysis and specific fix recommendations—typically in under a minute. ⚡

What are Strands Agents?

🧠 They're a framework for building production-ready AI agents that can use tools, reason through complex problems, and take autonomous actions. Think of them as AI assistants that can actually do things—not just chat. They leverage Amazon Bedrock's foundation models (like Claude Sonnet 4) with built-in orchestration, memory, and tool integration.

What it does:

📦 Automatically retrieves source code from S3 or Lambda deployment packages
📊 Analyzes CloudWatch logs filtered by execution context
🔍 Searches a knowledge base for error patterns and best practices
📈 Provides confidence scoring based on evidence quality
⚙️ Runs event-driven using EventBridge—no manual intervention needed

Tech Stack: AWS Strands SDK, Claude Sonnet 4, Amazon Bedrock, EventBridge, Lambda, DynamoDB, CDK

This sample is now part of the official Strands Agents repository, helping developers understand how to build autonomous AI systems.