Towards Data Science

Build and Run Your Own AI Agent in the Cloud

Build and deploy an agent on AWS with Strands and AgentCore The post Build and Run Your Own AI Agent in the Cloud appeared first on Towards Data Science .

Towards Data Science
Sep 8

Introducing ShipAI

Towards Data Science has released a video showcase titled "Introducing ShipAI," which highlights real‑world AI work. The post announces this new visual resource and its focus on practical AI applications. It is positioned as a first look into the platform’s capabilities.

By TDS Editors
arXiv AI
Jun 2

Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access

arXiv:2605. 27575v2 Announce Type: replace Abstract: As organizations move toward production deployments of AI agents, which execute non-deterministic workflows, maintain stateful sessions, and often operate with privileged access to internal services, the engineering challenge shifts from building individual agents to operating them at scale with proper isolation, governance, and security.

By Nikita Benkovich, Vitalii Valkov
Towards Data Science
Aug 27

How to Work with AI Coding Agents

The article "How to Work with AI Coding Agents" offers a practical guide aimed at improving code quality rather than merely increasing quantity. It focuses on strategies and best practices for effectively collaborating with AI coding tools to produce better code. The post was originally published on Towards Data Science.

By Sara A. Metwalli
Towards Data Science
Aug 28

Connecting My LangGraph AI Agent to Postgres

The article explains how to connect a LangGraph AI agent to a Postgres database. It covers running the backend locally using Docker and deploying it in the cloud. The guide provides practical steps for setting up the database connection and managing the agent’s data storage.

By Soner Yıldırım