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Harness is the new code: why agent performance depends more on the runtime environment than the model

Trocar o modelo e manter o mesmo ambiente de execução raramente produz o salto que o marketing promete. O que muda o resultado, em muitos casos, é o conjunto que envolve o modelo: ferramentas disponíveis, regras de uso, memória de sessão, planejamento, subagentes, validações e o modo como o agente lê e escreve no repositório. Esse conjunto tem nome na literatura recente: harness. Dois trabalhos…

Translated from Portuguese Read in Portuguese

Two recent studies, "Beyond the Model: Demystifying Harness Effects in Software Engineering Agents" and "Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents", highlight the importance of the "harness" in software engineering agents. The harness refers to the set of tools, rules, and configurations that surround a model, and can have a significant impact on its effectiveness.

The studies found that a well-designed harness can lead to more stable and predictable results, while a poorly designed one can lead to failures. The harness is seen as a critical component in making software engineering agents reliable and efficient.

Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

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How I Built an Approval Queue So My AI Agent Only Interrupts Me When It Matters

TL;DR I run a fully autonomous implementation system built on Claude Code that ships code while I sleep. The thing that made it usable wasn't a smarter model, it was a three-tier permission model plus…

  • Author implements approval queue for AI agent
  • Three-tier permission model: Green, Yellow, Red
  • Approval queue stored as JSON files in directory

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