Resources for Learning Harness Engineering
Resources for Learning Harness Engineering
An overview of several resources for learning harness engineering that will assist in creating effective agents.
Resources for Learning Harness Engineering
Here are a few resources that I have been enjoying studying lately:
https://walkinglabs.github.io/learn-harness-engineering/en/ — an excellent course on how to productively constrain agent behavior, the issues that arise when using LLMs (especially with context retention), and how to make the harness more agent-like and capable of completing tasks correctly.
https://twotimespi.dev/ — create a simplified agent in Python (Tau). Start with
uv tool install tau-ai.https://humanlayer.dev/blog/skill-issue-harness-engineering-for-coding-agents — lessons and takeaways from failures and successes in building harnesses for coding agents over 12+ months.
https://langchain.com/blog/the-anatomy-of-an-agent-harness — a high-level overview of many components that need to come together correctly in a harness for the agent to function.
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Why it matters
AnalysisThese resources provide valuable information for developers looking to create effective agent systems. Learning harness engineering will enhance the performance and reliability of AI agents.
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