Towards Data Science

8 Tips for Writing Effective Agent Instructions

The article "8 Tips for Writing Effective Agent Instructions" offers quick and simple guidance to improve the clarity and effectiveness of instructions given to agents. It presents a concise set of practical tips aimed at helping readers craft better agent instructions. The post is published on Towards Data Science.

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
Oct 2

Where the Agent Development Lifecycle Fits

The article "Where the Agent Development Lifecycle Fits" discusses how to coordinate the development of agent capabilities with the applications they power. It highlights the importance of aligning agent creation processes with the needs of the end‑use cases they support. The piece appears on Towards Data Science and focuses on integrating agent development into broader application workflows.

By Andrew Hinton
Towards Data Science
Aug 28

From One Agent to a Team: Understanding Codex Subagents

The article "From One Agent to a Team: Understanding Codex Subagents" offers a practical guide on how to create specialist agents and manage their collaboration using the Codex Command Line Interface. It explains the process of defining subagents and coordinating their tasks to build a cohesive team of AI agents. The guide is aimed at developers looking to extend Codex’s capabilities through modular, specialized agent workflows.

By Shuai Guo
Towards Data Science
Oct 4

How to Govern AI Agents

The article "How to Govern AI Agents" discusses strategies for overseeing a single AI agent and expanding those governance practices to manage a fleet of agents. It explores the challenges and solutions involved in scaling control mechanisms as the number of agents increases. The piece highlights practical approaches for ensuring reliable and ethical operation across multiple AI systems.

By Amber Roberts