Watch It Burn - Claim Your Cluster

BurritoBot is a deliberately permissive demo chat agent and burrito-ordering application used in the Unleash an Agent, Watch It Burn security workshop. Running as part of a Kubernetes-based internal developer platform, it uses kagent on Amazon Bedrock and can reach cluster operations and other tools, including listing pods, deploying images, reading files and secrets, and calling MCP tools. The workshop has participants repeat attacks against the agent while adding Kubernetes controls and agent-specific guardrails for its inputs, outputs, budget, tools, and permissions.

Workshop Studio is a hosted Jupyter notebook environment with pre-created AWS accounts for building and testing an agent. In the described workshop, it hosts notebooks for developing a customer-service agent with Strands Agents, testing tool-call controls, adding skills and steering handlers, and preparing deployment to Amazon Bedrock AgentCore.

The Mastering AI Observability Workshop repository is a hands-on workshop resource for building a trace-backed support-agent improvement workflow with Braintrust. It provides a local Python workshop app, setup instructions, a support agent using tool calls, seeded evaluation cases, production-like trace generation, Braintrust datasets and evaluations, hosted scorers, Topics facets, sample-trace imports, and optional draft evaluation cases derived from traces. The workflow connects tracing and online analysis to offline evaluations, custom scoring, failure investigation, regression cases, and reviewable code changes. The repository includes a public WORKSHOP.md guide, environment setup through uv and Make commands, local database seeding, a web interface, and configuration for Braintrust Gateway model calls.

A GitHub-hosted hands-on workshop repository for wiring AI-powered UI verification workflows. It covers a podcast landing-page challenge with easy and medium paths, using a Chrome extension for deterministic visual annotation, a coding agent, and the Nova Act SDK to find and fix rendered UI discrepancies and verify design expectations and user flows. The annotation workflow lets participants select elements, draw on a page, or drop pins and export structured feedback; the verification workflow crawls a site, checks the resulting interface, and generates a report. The repository includes workshop instructions, setup prerequisites, integration code, and a Bee Wearable reverse proxy that surfaces completed-conversation feedback as sidebar cards with Apply and Dismiss actions.

Amazon Bedrock AgentCore is an AWS service for deploying and operating AI agents in production. It provides a framework- and model-agnostic runtime for agents built with systems such as Strands Agents, CrewAI, LangGraph, LlamaIndex, Google ADK, or OpenAI Agents, with support for Python and TypeScript applications. Its capabilities include managed agent runtime hosting, sessions, memory, identity and access management, a gateway for turning APIs, Lambda functions, and services into MCP-compatible tools, built-in tools such as code execution and web search, and OpenTelemetry-based observability for tracing, debugging, and monitoring. The linked AWS Labs repository provides sample applications, tutorials, deployment templates, integrations, and blueprints covering these capabilities. The AgentCore CLI scaffolds projects, supports local development with hot reload and local invocation, and deploys agents to AWS with commands such as `agentcore deploy` and `agentcore invoke`. The samples repository is licensed under Apache 2.0.