Towards a Harness That Can Do Anything
The author proposes a framework for building 'harnesses' to improve the reliability and autonomy of Large Language Models (LLMs) outside of chat interfaces. It emphasizes leveraging existing coding environments and Unix-like design principles to manage agent failures and reduce cognitive load.
Why it matters
As LLMs move toward autonomous agentic workflows, robust infrastructure is required to manage errors and ensure reliable execution of complex tasks.
I've been thinking about how to free LLMs from the chat pane for a few years now. Watching what people have tried and seeing what worked (and didn't), I've formed my own opinions on the right way to approach it. Here are my thoughts, and what I've been working on recently.
With the advancing intelligence of LLMs, harnesses will eventually be reliable . The real matter at hand is reducing how much cognitive load (measured in tokens) you are putting on your bot.
The most important things we've learned over the years.
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