AI coding agents, such as OpenAI's Codex, are transforming software delivery by enabling agent-first engineering. Harness engineering, which involves structuring codebases and workflows for agent readability and execution, is becoming a key competency for teams leveraging AI in production CI/CD pipelines.
Birgitta Böckeler's article on harness engineering at Thoughtworks distinguishes between 'guides' and 'sensors' for AI agents. Guides direct agent behavior proactively, while sensors catch and correct it after producing unsatisfactory outputs.
O conteúdo discute por que modelos de IA falham em produção e introduz a 'Harness Engineering' como a solução para construir sistemas robustos. Ele detalha três pilares: conversão de tarefas em estados estruturados, decomposição de fluxos de trabalho em Sub Agentes isolados e tratamento de falhas de API.
This article argues that "Harness Engineering," which involves interacting with AI models, is a legitimate and complex form of engineering, refuting claims that it is merely "typing words at a model." It asserts the professional validity and technical depth required in this emerging field.