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### Description

Building AI agents shouldn’t mean juggling fragmented tools or patchwork prompts.
In this session, we’ll dive deep into developing custom agents from scratch—without relying on a starter toolkit—and explore how Kiro + Bedrock AgentCore revolutionizes the workflow from concept to production.
You’ll learn how to build a fully functional agent using FastAPI and Docker, meeting AgentCore’s runtime requirements while maintaining clarity and scalability.
This hands-on workshop will walk through a live example of a Financial Advisor Multi-Agent system—covering everything from dynamic prompt handling to end-to-end deployment.
**https://github.com/jayyanar/financial-advisor-multiagent**

### Key Takeaways

#### Core Learning

  • Understand AgentCore’s HTTP and MCP protocol contracts
  • Configure /invocations and /ping endpoints for operational readiness

#### Layered Leap: From Prototype to Production

  • Natural Interface: Talk to your IDE like a co-developer
  • Layered Architecture: Integrate tools and frameworks seamlessly

#### Live Demo: Financial Advisor Agent

Explore a real-world implementation featuring:

  • Market Intelligence: Real-time market analysis with rolling lookback windows
  • Strategy Architect: Risk-adjusted portfolio planning
  • Execution Planner: Actionable, multi-horizon strategies
  • Risk Assessor: Automated alignment checks and mitigations

#### From Spec to Scale

Discover how one comprehensive specification drives an entire system—built, tested, and deployed automatically through Kiro’s intelligent development flow with Hooks, GitOps, and full observability.

AI/ML

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