from vibe coding to agentic engineering - practice makes claude perfect

最新Docker容器技术，从真实案例中学习最佳实践！| Learn and understand Docker&Container technologies, with real DevOps practice!

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Introduce technologies on blockchain and distributed ledger, from theory to practice with bitcoin, ethereum and hyperledger.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

Machine Learning and Agentic AI Resources, Practice and Research

A curated library of 68 plug-and-play product management skills for AI agents, covering the complete product lifecycle with templates, workflows, and sample outputs.

Kubernetes Goat is a "Vulnerable by Design" cluster environment to learn and practice Kubernetes security using an interactive hands-on playground 🚀

A local-first framework and skill collection for architecture firms to build and share AI-assisted workflows using Claude Code.

AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)

求是Skill——从经典唯物辩证法与实践哲学中提炼出一条总原则和九大方法论工具武装AI大脑。Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.