Towards Data Science

Your Agent Works in the Demo. Now Make It Survive Monday.

The article titled "Your Agent Works in the Demo. Now Make It Survive Monday" discusses the transition from a simple demonstration to a more robust, real‑world application. It highlights the challenges of ensuring an agent remains functional beyond a controlled demo environment. The piece appears on Towards Data Science.

Simon Willison
Sep 29

OpenAI DevDay 2026 live blog

Simon Willison is live‑blogging the OpenAI DevDay event in Fort Mason, San Francisco, covering the keynote and other highlights. He received a free ticket and a seat in the "creator" area for the keynote. The blog will include notes from the day’s sessions.

Towards Data Science
Oct 13

Your Agent Doesn't Need More Freedom

The article titled "Your Agent Doesn't Need More Freedom" discusses how agents have become proficient, but the real challenge lies in the surrounding environment. It highlights that the focus should shift from granting agents additional autonomy to addressing the complexities that exist around them. The piece underscores the importance of improving the context in which agents operate rather than simply increasing their freedom.

By Gursimar Singh
Towards Data Science
Sep 24

How to Maximize Your Coding Agent Subscriptions

The article titled "How to Maximize Your Coding Agent Subscriptions" discusses ways to get more out of your coding agent subscriptions. It was published on Towards Data Science and focuses on optimizing the use of these tools. The post offers practical tips and strategies for users to enhance their experience with coding agents.

By Eivind Kjosbakken
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 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
Simon Willison
Sep 24

Note on 24th September 2026

Simon Willison reflects on his experience with coding agents, noting that while they enable impressive feats, they also complicate software engineering. He emphasizes that fully harnessing their capabilities demands exceptional discipline and deep knowledge. The article highlights the dual nature of coding agents as both powerful tools and challenging additions to development workflows.

Towards Data Science
Oct 9

Build Your First AI Agent with One Tool Call

The article titled "Build Your First AI Agent with One Tool Call" introduces beginners to AI agents, presenting the first part of a series. It focuses on the foundational steps required to create an AI agent using a single tool call. The post is published on Towards Data Science and serves as an introductory guide for newcomers to the field.

By Thomas Reid
Towards Data Science
Oct 25

Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail

The article discusses how an agent can continue to produce confident answers even when its tools fail, leading to a misleadingly positive dashboard display. It highlights the issue of agents generating responses from nothing after tool breakdowns, which can create a false sense of reliability. The piece serves as a cautionary note for developers deploying agentic AI systems.

By Benjamin Nweke