#Linux native testing
217 related articles
·3 min
InvokeAI In-Depth Review: Can It Replace SD WebUI and ComfyUI?
A hands-on InvokeAI review covering installation, VRAM optimization, infinite canvas, node workflows, and model management — with an objective comparison to SD WebUI and ComfyUI.
Read more →
·7 min
AI Daily: T-Head Open-Sources SAIL Software Stack at WAIC, Flurry of Large Model Releases
T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.
Read more →
·3 min
Dify for Beginners: A Complete Guide to Building AI Applications
A beginner's guide to Dify covering Docker deployment, MySQL setup, model integration, five app types (Chatbot/Agent/Workflow), and publishing — build LLM apps fast.
Read more →
·3 min
Claude Code Practical Guide: Environment Setup, Git Workflows, and Engineering in Production
A complete guide to Claude Code: environment setup, switching to domestic LLMs, CLI commands, Git workflows, MCP, Subagents, and enterprise project walkthroughs.
Read more →
·4 min
Understanding CI/CD from Scratch: Core Principles and Practical Introduction to Automated Deployment
A clear, practical guide to CI/CD: from Waterfall to DevOps, manual vs. automated deployment, and a full Jenkins + RuoYi hands-on learning path for beginners.
Read more →
·4 min
Self-Healing Agent Loops: Using AI to Automatically Discover and Fix Programming Language Bugs
How Boundary built a self-healing AI Agent loop that automatically writes BAML code, discovers bugs, and generates fix PRs — a practical software factory with deduplication, human-in-the-loop leverage points, and extensible multi-loop design.
Read more →
·3 min
The Complete Ollama Guide: The Simplest Way to Run LLMs Locally
Ollama has 9M active developers and 170K GitHub stars. This guide covers its features, architecture, business model, and use cases for running LLMs locally.
Read more →
·3 min
Cherry Studio + MCP: A Practical Guide to Building AI Agents with Local Deployment
Learn how to build an automated AI agent using Cherry Studio, MCP protocol, and locally deployed models — covering DeepSeek integration, web scraping, and private knowledge base setup.
Read more →
·3 min
Bun Rewrote a Million Lines of Code in 11 Days with Claude Code: A New Paradigm for AI-Assisted Programming
Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.
Read more →
·3 min
Getting Started with Dify: A Complete Guide to Building Enterprise-Grade AI Apps with Low-Code
A complete guide to Dify, the low-code AI app platform: five app types, multi-model setup, Docker deployment, and enterprise data security. Build LLM-powered workflows and Agents at minimal cost.
Read more →
·2 min
Ollama Complete Guide: Running Open-Source LLMs Locally
Want to run open-source LLMs like DeepSeek locally for free? Ollama is the easiest solution. This guide covers what Ollama is, its core advantages, and key use cases.
Read more →
Cross-Platform MicroVM Sandbox: Runnin…
·3 min
Cross-Platform MicroVM Sandbox: Running AI-Generated Code Safely in Isolated Environments
Explore cross-platform MicroVM sandbox technology supporting Windows/Mac/Linux with a built-in policy engine for fine-grained access control in AI Agent and multi-tenant code execution scenarios.
Read more →
·3 min
Vibe Coding in Practice: A Comprehensive Review and Selection Guide for 6 AI Coding Tools
In-depth comparison of 6 Vibe Coding tools — Claude Code, Trae, Zhipu, Cursor, and more — covering setup cost, Chinese support, pricing, and code quality.
Read more →
·2 min
Learning MLOps from Scratch: A Deep Dive into the 24-Month Roadmap
Can you learn MLOps from scratch? This guide breaks down core skill requirements and offers a practical 4-phase, 24-month roadmap covering Python, ML, DevOps, and MLflow.
Read more →
·3 min
pgrust: Rewriting Postgres in Rust — 100% Regression Tests Passing
pgrust is an open-source project rewriting PostgreSQL entirely in Rust, claiming 100% regression test passage. This article analyzes the technical motivation, implementation approach, and key challenges.
Read more →
·4 min
A Deep Dive into ASP.NET Core: The Complete Guide to Microsoft's Cross-Platform Web Framework
A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.
Read more →
·3 min
The Complete Guide to Terraform: The Core Tool and Practices of Infrastructure as Code
An in-depth look at Terraform's core principles and workflow, covering declarative configuration, the multi-cloud Provider ecosystem, IaC best practices, and license changes. Helps DevOps engineers master the industry-standard tool for infrastructure automation.
Read more →
·5 min
GPT-5.6 In-Depth Field Test: A Real-World Log After Burning Through $200K
A developer stress-tested GPT-5.6 for six weeks across 67 projects, burning $180K-$240K in inference. Real cases of task persistence, Rust rewrites, autonomous browser control — plus honest frontend and 3D shortfalls.
Read more →
·3 min
OpenAI Codex CLI Hands-On Tutorial: A Guide to Using the Local Terminal AI Coding Agent
An in-depth guide to installing, logging in, and using OpenAI Codex CLI: call AI directly in your local terminal to modify code, refactor components, and add file and image context, with Git branch management for an efficient local AI coding workflow.
Read more →
·4 min
AMD Ryzen AI Halo Hands-On: Can x86 Architecture Challenge NVIDIA's DGX Spark?
In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.
Read more →