#Docker containerization
226 related articles
·6 min
Anthropic Launches Life Sciences Hackathon with $100K to Empower AI-Driven Research
Anthropic launches a global life sciences hackathon with Gladstone Institutes, offering $100K in API credits to advance AI-driven scientific research using Claude Science and Claude Code.
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·5 min
Cursor Reshapes AI Programming: Cloud Agents, the Origin Platform, and a Custom-Built Foundation Model
Cursor launches three major products: cloud agents on mobile, Origin — an agent-native Git platform challenging GitHub, and a custom foundation model with 10-20x compute. AI coding enters the Agent-First era.
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Beware of Big Tech AI Agents: How to P…
·2 min
Beware of Big Tech AI Agents: How to Protect Your Research Intellectual Property
Are your research code, algorithms, or unpublished papers safe with Big Tech AI agents? This deep dive explores data risks and offers practical protection strategies.
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·4 min
Frontend to Full-Stack AI: A Complete NestJS + LangChain Roadmap
Pure frontend roles are shrinking fast. Learn how mastering NestJS and LangChain AI agent development can unlock a 20–30% salary boost on your full-stack AI transition path.
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·3 min
RomM: The Open-Source Self-Hosted ROM Manager for Retro Game Collections
RomM is an open-source self-hosted ROM manager with automatic metadata fetching, in-browser gameplay, and Docker deployment. Build your own retro game media library.
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·2 min
Immich: Open-Source Self-Hosted Photo Management — The Best Google Photos Alternative
Immich is a high-performance open-source self-hosted photo manager with 100k+ GitHub Stars. Features auto backup, AI search, face recognition, and Docker deployment.
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·3 min
Harness Architecture Explained: The Next-Generation Design Paradigm for Agent Development
A deep dive into Harness Architecture — the next-gen Agent design paradigm. Covers its evolution from prompt engineering and context engineering, multi-agent collaboration, sandbox security, feedback loops, and why it's a must-have for LLM developer interviews.
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·7 min
Hermes Agent Deep Dive: An AI Agent Framework That Uses Fewer Tokens Than Open Cloud
Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.
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·6 min
Agent Studio: A Unified Platform for Authoring AI Roles and Skills
Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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·3 min
n8n Beginner's Guide: Building Workflows & Understanding Core Nodes
n8n beginner's guide covering registration, interface navigation, trigger nodes, AI nodes, data processing nodes, and more. Learn to build your first automation workflow with API authentication tips.
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·3 min
The Complete Guide to Building Dify Workflows: A Hands-On Guide to No-Code AI Applications
Complete guide to Dify's five app types, Docker deployment for v1.8.0, and workflow building. Compare Dify vs Coze and learn to build enterprise AI apps with no code.
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·3 min
Dify 1.8 Deployment & Configuration Guide: Comparison with Coze, RagFlow, and N8N
Complete guide to Dify 1.8 deployment changes, five application types explained, and a detailed comparison with Coze, RagFlow, and N8N for enterprise AI platform selection.
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·4 min
Claude Code: A Complete Guide from Terminal Anxiety to AI Programming Mastery
Complete beginner's guide to Claude Code terminal version: master terminal basics, interactive sandboxes, Skills, MCP protocol, and sub-agent automation.
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·4 min
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns Explained
Deep analysis of Alibaba's AgentScope 2.0 multi-agent framework: six core upgrades including event systems, security interception, HITL, and workspace systems, plus ReAct vs Plan-and-Execute agent design patterns.
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·4 min
The Four Stages of AI Engineering Evolution: From Prompt to Loop Engineering Explained
A systematic breakdown of the four stages of AI engineering: Prompt Engineering, Context Engineering, Runtime Environment Engineering, and Loop Engineering — with core logic, bottlenecks, and real-world use cases.
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·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
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·3 min
Vibe Coding: The New AI Programming Paradigm for Full-Stack Development with Zero Coding Experience
Explore Vibe Coding's core concepts and practical applications across frontend UI generation, backend APIs, and one-click deployment, with a zero-to-hero guide for non-programmers.
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·3 min
Building AI Agents from Scratch: LangGraph Architecture and Practical Guide
A deep dive into AI agent principles and development practices, covering agent definitions, leading products (Deep Research, ChengPian, Manus), and the complete LangGraph + LangChain + MCP architecture.
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·3 min
The Ultimate Ollama Guide: A Complete Walkthrough for Running AI Models Locally
Complete Ollama guide: install and run open-source LLMs like DeepSeek, Llama, and Qwen locally on Windows/Mac/Linux. Free, private, and beginner-friendly.
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·3 min
SWE-Smith Expands to JavaScript: 6,099 Synthetic Bugs Powering Multilingual Code Repair
SWE-Smith Multilingual extends synthetic bug generation to JavaScript, validating 6,099 patches across 74 repos. Covers 14 modifiers, high-yield repo traits, and Modal cloud pipeline architecture.
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