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。
AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...
XDA Developers on MSN
I built repeatable agentic AI workflows that code without me, and the results surprised me
All my agents needed was a little bit of codified workflows to follow ...
How-To Geek on MSN
I stopped maintaining 30 JSON files by hand with this one tool
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 ...
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.
💡 Pro Tip: EasyEnv is perfect for testing libraries, running CI/CD pipelines, teaching Python, and keeping your development environment pristine. Think of it as "Docker for Python, but faster and ...
score: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R ...
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