60 related articles

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

A hands-on analysis of the Hermes 2.0 hybrid multi-agent system: can multi-model collaboration beat a single top-tier LLM? We break down how the Mixture of Experts (MoE) architecture works, AgentOS features, and model-agnostic design.

What exactly is the Cloud Coding Agent Silicon Valley is hyping? This article breaks down the core concept across three axes—where it runs, who watches, where tasks start—and gives users in China practical advice on local alternatives.

Kun is an open-source AI coding agent optimized for DeepSeek and domestic users, with nearly 5,000 GitHub stars. Features include requirements drafting, inline diffs, cost visualization, and mobile monitoring. Real-world cache hit rates reached 97%, keeping costs extremely low.

Why give AI Agents a virtual filesystem and bash instead of more tools? A deep dive into the "Files over Tools" design philosophy, tool bloat, Unix principles, security sandboxing, and hybrid architectures.

Anthropic's Claude Sonnet 5 launches on Devin Desktop and CLI, delivering frontier-level coding performance while reducing quota consumption by ~30% compared to the previous generation.

Tested Ornith 9B on a 16GB M4 Mac Mini: LM Studio setup, tower defense game vs. 35B, and honest insights into small-model accuracy limits for local AI coding.
Devin Adds Kimi K2.7 and GLM 5.2 — Bot…
Devin now supports Kimi K2.7 and GLM 5.2 on Desktop and CLI. Pro, Max, and Teams users can use both models quota-free until July 5. Strong FrontierCode Extended benchmark results make this a perfect evaluation window.

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.

Explore the three paradigm shifts in LLM interaction: from ChatGPT as a website, to desktop apps, to autonomous AI team members that collaborate asynchronously with humans.

Velomask is a remote Coding Agent orchestration platform supporting mobile coding commands, cloud AI execution, and multi-device real-time sync for async development.

Cursor built Composer 2.5 on Kimi K2 open-source model, ranking 3rd on coding benchmarks and surpassing K2.6. Deep dive into Cursor's data flywheel, product architecture, and pricing.

Step-by-step guide to installing Git, Node.js, and VS Code before setting up OpenAI Codex. Covers download, version selection, and verification for beginners.

A Bilibili creator used DeepSeek V4 Pro via Cursor to rebuild a complete IndexTTS GUI app for just 18.63 RMB (~$2.50). Full breakdown of the AI coding workflow, features, and cost comparison.
Product ReviewsDeep dive into Devin Cloud, a cloud-based AI development platform featuring device-agnostic development, cloud VM desktops, GitHub integration, MCP tools, and how it fundamentally changes traditional IDE workflows.
Deep DivesA deep dive into Claude Code's core capabilities: understanding codebases, autonomously executing commands, and searching the web. Learn key concepts like context windows and permission control.
Tech FrontiersOpenAI Codex supports sending programming instructions from your phone to your computer remotely. Complete setup in three steps and code from anywhere during commutes, meetings, and more.
Tech FrontiersWeekly AI roundup: Anthropic launches Claude Code review, Google Gemma 4 leaks with MoE architecture, DeepSeek V4 delayed again, Microsoft Copilot Cowork reshapes collaboration, and OpenAI acquires PromptFool.
Tech FrontiersOpenAI Codex adds Windows Computer Use capabilities, enabling direct testing, debugging, and code review in Windows environments. ChatGPT mobile also supports remote Windows machine connections.
TutorialsStep-by-step guide to connecting Claude Code Desktop with DeepSeek via CCSWitch middleware. No VPN or Claude account needed — set up your AI programming environment in 10 minutes.