Harness engineering
Harness engineering
Articles on harness engineering for teams building AI agents that act in real apps.
- Harness engineering
How to evaluate AI agents that use tools (without fooling yourself)
A practical guide to evaluating tool-using AI agents: task suites, mocked vs real tools, fixtures, outcome and trajectory checks, flaky runs and release gates.
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Harness engineering
Harness engineering: the 7 layers around an LLM agent
Harness engineering covers seven layers around an LLM agent: tools, context, memory, permissions, the loop, evaluation and observability. What each one does.
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Harness engineering
What is an agent harness? The part of an AI agent that isn't the model
An agent harness is everything around the model: tools, context, memory, permissions and the loop. Learn what it does and why it decides if an agent works.