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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.

Related topics

AI/ML

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