2026 is the Year of the Harness: Harness Engineering Strategies to Save AI Coding Agents from Infinite Loops

AI coding agents can perform well on short tasks, but in real development work, the longer a task becomes, the more likely they are to lose context or repeat the same fixes. This session looks at these issues not simply as limitations of model performance, but from the perspective of the environment in which the model works, state management, validation loops, and tool design.

The key idea is the “harness” around the AI model. We will introduce how to design structures that help AI models continue working without getting lost by combining mechanisms for recording progress and decisions, documentation structures that allow step-by-step access to necessary knowledge, focused execution environments that avoid excessive tool use, and automated checks that preserve architectural boundaries.

Attendees will gain perspectives on moving AI coding beyond individual trial and error and integrating it reliably into the team development process, along with practical harness design patterns they can apply in real-world work.