Beyond Market Intelligence/agent development

agent development

agent development on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on agent development in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around agent development, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Building a Proper Backend for My LangGraph AI Agent
Towards Data Science

Building a Proper Backend for My LangGraph AI Agent

Moving beyond demo agents, building a robust backend for your LangGraph AI agent is crucial for handling real-world data, like booking information. This post details the practical steps to transform a prototype into a reliable system capable of persistent storage and retrieval. We'll explore key architectural considerations and best practices for ensuring data integrity and scalability. For broader insights into building AI safety systems at scale, consider “Presentation: SafeChat,” which details DoorDash’s approach to content moderation.

7 Steps to Building and Deploying Your First Autonomous Agent
KDnuggets

7 Steps to Building and Deploying Your First Autonomous Agent

Ready to unlock the potential of autonomous AI agents? This article provides a clear, 7-step guide to building and deploying your first agent, covering the entire process from initial concept to live operation. We’ll equip you with the practical knowledge to move beyond traditional spreadsheet workflows and embrace a future-focused approach to data management. For a deeper understanding of the infrastructure supporting these advancements, explore "Netflix Details Its In-House LLM Serving Platform with Triton and vLLM” and discover the evolving architectures necessary for agentic AI.

Podcast: Strands Agents with Clare Liguori
InfoQ

Podcast: Strands Agents with Clare Liguori

Welcome to the podcast! Today, Thomas Betts speaks with Clare Liguori, technical lead for the Strands Agents SDK, a rapidly evolving open-source project. The discussion charts Strands Agents’ progression from a Python SDK to a robust, production-ready agent harness. Clare shares valuable lessons gleaned from scaling agents, including the strategic shift to a model-driven architecture. As the underlying LLMs continue to advance, explore what's next for this transformative technology—a topic further illuminated in "Many Companies Use AI.