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AI engineers need custom harnesses for context engineering

By PulseAugur Editorial · [1 sources] ·

Harness engineering is a crucial skill for AI engineers, as demonstrated by Omar Sanseviero. He emphasizes that effective harnesses are not one-size-fits-all and should be tailored to solve specific context engineering problems. Sanseviero advises building a minimal harness to understand fundamental components like system prompts and tool calling, which can then be applied to more sophisticated, production-ready harnesses. AI

IMPACT Harness engineering is highlighted as a key skill for AI professionals to optimize agent performance.

RANK_REASON The item is an opinion piece from a researcher about a specific skill in AI engineering.

Read on X — Omar Sanseviero (HF research) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI engineers need custom harnesses for context engineering

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The item is an opinion piece from a researcher about a specific skill in AI engineering.
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COVERAGE [1]

  1. X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 ·

    Not all harnesses are created equal.

    Not all harnesses are created equal. And there is no one-size-fits-all. A good harness should solve your context engineering problems. Understanding and optimizing lower-level details like system prompts, caching, and effective tool calling is how the harness stands out. This

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