#Linux ops
344 related articles
·6 min
herder: A Terminal Multiplexer for Multiple Coding Agents — Say Goodbye to Session Management Chaos
herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.
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·5 min
Natively Porting Command & Conquer: Generals to macOS and iOS with the Fable Framework
Using the Fable porting framework, Command & Conquer: Generals has been natively ported to macOS, iPhone, and iPad. Explores DirectX-to-Metal challenges, touch adaptation, and game preservation.
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Launch a Cloud Dev Environment in One …
·4 min
Launch a Cloud Dev Environment in One Prompt: A Deep Dive into the Codex DigitalOcean Plugin
OpenAI Codex's DigitalOcean plugin lets developers launch persistent cloud dev environments with a single natural language prompt. A deep dive into capabilities, use cases, and risks.
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·6 min
Gas Town: A Multi-Agent Workspace Manager Built in Go
Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.
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·3 min
Build a Smart World Cup Calendar with AI Agent in 6 Minutes — Auto-Push Schedules to WeChat
Build a smart 2026 World Cup calendar with AI Agent in 6 minutes — zero code, WeChat push notifications, smart match recommendations, and post-match summaries.
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·4 min
Adding a 'Repair Layer' to Open-Source Models: How DeepSeek Can Outperform Claude Opus
Independent developer Ahmad Awais found that open-source LLM failures stem from Tool Calling bugs, not model capability. A deterministic repair layer + repair hints can make DeepSeek outperform Claude Opus.
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·3 min
Why Claude Code Ditched RAG for Grep: The Engineering Logic Behind the Decision
Why did Claude Code abandon RAG for Grep? Breaking down the three root causes — undiagnosability, the multiplication effect, and index staleness — behind the shift to Agentic Search.
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·3 min
AI Agent vs. Automation Scripts: Goal-Driven vs. Fixed Workflows
AI Agents aren't advanced scripts. Scripts follow fixed instructions; Agents pursue goals, plan dynamically, call tools, and self-correct. A deep dive using Linux ops examples.
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·3 min
Programmer's Guide to the AI Era: Application Development Is a Real Opportunity for Ordinary Developers
Too hard to become an algorithm engineer? Too basic to just use AI tools? This guide breaks down the three levels of AI adoption for programmers, with a focus on Agent development and large model engineering — including salaries, timelines, and window risks.
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·7 min
AI Agent Practical Guide: From Content Generation to Enterprise Applications
A deep dive into AI Agent's two core directions: 2C content generation (text/images/video) and 2B enterprise applications (RAG/AutoGen/LLM integration). With real startup cases and practical methods.
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·5 min
Reproducing GitHub Projects from Scratch: A Practical Step-by-Step Guide
A complete guide to reproducing GitHub projects from scratch: due diligence, virtual environments, dependency installation, script interpretation, and breakpoint debugging — helping grad students and junior developers run others' code efficiently.
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·7 min
Complete Guide to OpenCode: Installation, Configuration, and Custom Commands in Practice
A systematic guide to OpenCode, the open-source terminal AI coding tool: installation methods (including WSL), model configuration, rules files, Agent types, custom commands, and MCP tool extensions.
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·7 min
GPT Account Sharing Traps: The Hidden Risks Behind Low-Cost Shared Subscriptions
Is GPT Pro carpooling or account top-up really reliable? This article analyzes the risks of low-cost sharing including account security, privacy leaks, financial loss, and compliance issues.
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·7 min
Cost Optimization for AI Agent Fleets: Why an Expensive Commander + Cheap Workers Is More Cost-Effective
Deep analysis of multi-agent system cost optimization: why the 'expensive commander + cheap workers' combination outperforms all-frontier fleets, covering decision-intent cost logic and Sonnet 5 tokenizer traps.
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How GitHub Manages Open Source Depende…
·4 min
How GitHub Manages Open Source Dependency Compliance at Scale: An OSPO Practitioner's Guide
GitHub's OSPO uses automated dependency scanning, policy enforcement, and transitive risk detection to embed open source license compliance into CI/CD pipelines at scale.
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·4 min
How Daytona Is Redefining AI Agent Compute Sandbox Infrastructure
Deep analysis of how Daytona pivoted from browser IDE to AI Agent sandbox infrastructure, achieving 60ms startup times, 850K daily sandboxes on bare metal, and why Computer Use opens a trillion-dollar market.
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·4 min
Complete Beginner's Guide to Claude Code in 19 Minutes
A complete beginner's guide to Claude Code covering setup, Plan Mode, CLAUDE.md project memory, MCP connectors, Skills, Plugins, and deploying via GitHub and Vercel.
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·4 min
Dify Local Deployment Tutorial: Build Your AI Application Development Platform from Scratch
Step-by-step guide to deploying Dify locally using BT Panel, covering VM setup, Ubuntu configuration, and Docker deployment for a private AI dev platform.
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·4 min
OpenAI Agents SDK in Practice: Harness and Sandbox Separation Architecture Explained
Deep dive into OpenAI Agents SDK updates covering Harness-Compute separation, Codex-style orchestration, sandbox snapshots, skills system, and multi-agent collaboration with practical demos.
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