Articles

Harness engineering is a discipline that flips the traditional approach to AI coding, where humans review every line of code written by agents. Instead, it builds the environment the agent works in, using a framework of scaffolding, constraints, and feedback loops.

The increasing sophistication of conversational AI and voice cloning technologies has created a new vulnerability in human behavior, making it easier for attackers to manipulate individuals and gain access to sensitive information.

From the user's point of view, AI products seem simple, but behind the clean interface is a large amount of software engineering. This article focuses on the engineering work that turns a model API call into a reliable product feature.

Most engineering teams don't set out to manage infrastructure, but over time, it becomes a growing layer of responsibility, affecting their productivity and focus.

Most engineering teams don't stall because of missing skills, but because no one makes the first move. Discover why this happens and learn how to overcome it.

When leadership fails to prioritize error budgets, the consequences can be severe. A recent experience highlights the importance of treating SLO math as a guiding principle, not a suggestion.

Every engineering team has said it at least once: 'it worked on my machine.' This phrase is often used to describe a situation where a piece of code or software works perfectly on one person's machine but fails on another's.