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What Is Harness Engineering? Why AI Agents Need Control
Video in Vietnamese Published
About this video
What is Harness Engineering? Why can the same AI model produce an agent that only answers questions, while another can write code, run tests and fix errors?
Harness Engineering is the practice of designing the operating system around an AI model, connecting reasoning with tools, the execution environment and verification. It is not a new AI model; it is the foundation that lets an AI Agent do work through a controlled process.
In November 2025, Anthropic shared a method for maintaining agent progress across multiple sessions. In February 2026, Mitchell Hashimoto and OpenAI continued to clarify the role of the harness in programming with AI.
In this video, you will explore:
- What Harness Engineering is and how it differs from Prompt Engineering and Context Engineering.
- How a harness coordinates tools, context and the agent's execution loop.
- Why automated testing helps an agent detect and fix errors.
- Lessons from Anthropic on managing progress across sessions.
- The limits of a harness and the engineer's role in control.
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