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TechXConf , AI & Cloud Conference 2025 - Saturday, November 1, 2025
9:00 AM to 6:00 PM IST
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Online Events:
Adding Memory: Building Context-Aware AI Agents in Bedrock AgentCore
Supercharging Agents with Built-in Tools: Code Interpreter & Browser in Action
Production-Ready AI: Observability, Scaling, and Best Practices in AgentCore
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Going Beyond Basics: Custom Agent Development Without the Starter Toolkit - Wednesday October 15 9.00 PM IST (Today)
Innovate
🧠 Financial Advisor Multi-Agent System — Repository Overview
Repository: jayyanar/financial-advisor-multiagent
Concept: A complete example of building a multi-agent AI system for financial advisory — from prototype to production.
Goal: Demonstrates how multiple AI agents collaborate to analyze markets, create strategies, assess risk, and deliver insights responsibly.
Tech Stack: Strands Agents SDK, Kiro (spec generation), and AWS Bedrock AgentCore for deployment.
Focus: Turning an AI concept into a deployable, production-ready system using spec-driven workflows and modular architecture.
🚀 What You Can Learn from This Project
1️⃣ End-to-End AI Agent Lifecycle:
Learn how to go from a manual Jupyter prototype → spec generation → system design → production deployment.2️⃣ Multi-Agent Collaboration:
See how specialized agents (Market Intelligence, Strategy Architect, Risk Assessor, etc.) interact and coordinate through an orchestrator.3️⃣ Spec-Driven Development:
Explore how tools like Kiro convert plain-language prompts into structured specs, tasks, and design blueprints — reducing dev time.4️⃣ Production Readiness:
Understand how to integrate CI/CD pipelines, security validations, runtime configs, logging, and monitoring for reliable deployment.5️⃣ Transparent Architecture & Docs:
The repo includes clear architecture diagrams, testing modules, and documentation that make it easy to follow and extend.6️⃣ Ethical & Domain Awareness:
Learn how to build AI systems responsibly — especially in regulated fields like finance — with disclaimers and compliance principles.
I shared that in recent Data/AI Day at Bengaluru on October 9th 2025
Elevate
Podcast Title: Orchestrating Intelligence: Context Engineering Strategies for Multi-Agent Workflow using AgentCore Memory
By: Ayyanar Jeyakrishnan
Join me as we explore how context engineering empowers scalable, intelligent multi-agent systems. Discover strategies that enable agents to share memory, align goals, and coordinate tasks through structured context and semantic reasoning. We’ll move beyond prompt engineering to design collaborative, memory-driven workflows that transform industries like finance, healthcare, and logistics.
Disclaimer “AI Generated Podcast” but content curated by me
Thanks for TRESIDUS for sponsoring this blog