Fewer brackets, more smart devices.

本文介绍一个完整的"AI智能体工厂"平台的设计与实现。该平台以本体模型（Ontology Model）作为中间表示层，打通了从原始业务需求到可运行AI智能体的完整链路：需求探索 → 本体建模 → 可视化验证 → 能力代码生成 → 技能封装 → Agent动态发布。 今天完整分享下最近通过AI编程实现的一个基于本体模型+AI大模型驱动的端到端AI智能体交付平台。包括需求分析，整体设计，核心功能实现。

Partnering with major names like Nvidia, DuckDuckGo , and Ubisoft , we are shaping the future of gaming and network technology. Why your role matters As a Network Engineering Manager at i3D.net , ...

AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...

Is Linux Kernel 7.2 really 43 million lines? We verified the count with wc, cloc, tokei, and scc tools and explain why the ...

Connect all your configuration files and autogenerate code—Jsonnet is the missing piece for large code bases.

Cordyceps, a systemic class of exploitable CI/CD vulnerabilities, allows unauthenticated attackers to hijack developer ...

整套架构本来是给程序员写代码用的，意外地特别适合当业务系统的多智能体后端。今天就把整个流程分享给大家。 做 AI 多智能体业务后端，开源框架满地都是。LangChain、LangGraph、AutoGen、CrewAI 我都试过。 结果这次我用一个"写代码用的 CLI"反而搭得最快。

CI/CD pipelines are optimized for code deployments. Long-running operational processes and self-service workflows can be orchestrated more flexibly with Kestra.

The Meta-Harness Omnigent combines AI agents like Claude Code and Codex under a common policy and collaboration layer – under an Apache 2.0 license.

Skills是Anthropic在2025年底推出的AI代理技能扩展机制，其核心是将“如何完成某类任务”的指令、脚本和模板打包成标准化的能力模块。 每个Skill本质上Skills 是一个包含指令、脚本和资源的文件夹，用于教会大模型如何更好地执行特定任务，根目录包含一个带YAML元数据的SKILL.md文件，描述技能的名称、用途和触发条件。目录内还可以包含Python脚本、参考文档、模板文件等资源 ...