想象 starting with an empty server and letting AI 智能体 handle everything, from reverse engineering and coding to database setup, Docker, Nginx, UFW, Fail2Ban, security, testing and deployment.
The interesting part? AI 智能体 can optimise the entire infrastructure based on actual 系统 requirements. Why pay for 32GB RAM when your application only needs 8GB?
This approach also supports ESG goals by reducing unnecessary computing resources, energy consumption and infrastructure waste, while improving security, auditing and governance.
从 a business perspective, it means lower development costs, smaller teams, reduced server expenses and faster deployment.
What once required an entire IT team can increasingly be managed by a few domain experts working with AI 智能体.
Less manpower. Less waste. 更低 costs. 更快的执行.
The future isn't just AI-assisted coding. It's AI-driven, cost-efficient and sustainable 系统 engineering.
#AIAgents #DevOps #ESG #GreenIT #成本优化 #NeuralOps
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auditing and governance这个说法我要拿回去跟同事讨论。
文章把RAM when your 32GB和日常运营联系起来，这一点很有帮助。
这篇内容让我更容易理解为什么想象 starting with an empty值得关注。