347 related articles

Systematically learn the OpenCode AI programming tool: covering both desktop and WSL installation, core commands, model and rule configuration, MCP integration, and Agent Skills.

Step-by-step guide to connecting DeepSeek to Claude Code via CC Switch — no VPN needed, start for just ¥10. Covers API Key setup, installation, model config, and a live demo.

Claude Sonnet 4 returns to Cursor, topping CursorBench while carrying the highest cost per task. A deep dive into performance vs. cost trade-offs for AI coding tools.

A developer deeply tests Grok 4.5 High Fast in Cursor, finding it rivals Claude Opus in quality but runs 5x faster with cleaner, filler-free output. Full hands-on review and analysis.

Model capabilities are converging, making inference cost and scalability the new focus of AI competition. A deep analysis of AI infrastructure's core layers.

A systematic guide to Coze's core positioning, its differences from Dify/n8n, and its full capability system covering agents, workflows, and multi-agent modes—helping beginners get started fast.

An in-depth look at the Skills paradigm in AI programming: through intent routing and script encapsulation, let AI agents auto-manage multi-channel LLM APIs on a One API gateway for one-click distribution, health checks, and auto-degradation.

Grok 4.5, GPT-5.5, and Claude go head-to-head on the same coding tasks. A deep comparison of code quality, UI design, and engineering standards to help you choose the right AI coding assistant.

An in-depth breakdown of LangChain 1.3's core concepts, covering the three major limitations of LLMs, Agent architecture, memory management, and a complete learning path. Master LangChain and LangGraph to quickly build AI development skills.

OpenAI launches GPT-5.6 with three models — Sol, Terra, and Luna — spanning flagship to economy tiers. Meanwhile, Claude Code is flagged for a potential code leak risk between April and June 2025.

A complete AI learning workflow: batch download videos, auto-transcribe, generate structured notes with AI, then build intelligent search and Q&A via Dify. Turn scattered videos into a reusable personal knowledge base.

A deep dive into LangChain's positioning and value—why do LLMs need a middle layer? How does LangChain serve as the 'glue' unifying multi-model interfaces and supporting Agent development? Learn its core modules and learning path.

From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.

As LLM costs keep falling, how can Java developers seize the AI opportunity? This article explores LangChain4J's core capabilities, supported models and vector databases, and compares LangChain4J vs. Spring AI to help you build local knowledge bases and intelligent customer service systems.

Rowboat is an open-source, local-first AI desktop client positioned as a Claude Desktop alternative. Local data storage and fully transparent code help developers control privacy and workflows.

By introducing an engineered verification loop reasoning framework, DeepSeek's effective pass rate on complex tasks can improve ~4x, matching Claude Opus at one-seventh the cost. A deep dive into verification loops, test-time compute scaling, and their practical implications.

A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.

Unsloth v0.1.48-beta released, adding NVFP4/FP8 quantization export, OpenAI-compatible API hot-swapping, 3-5x faster MoE training, and 1.3x faster GRPO, covering the full LLM fine-tuning, quantization, and local deployment pipeline.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes why models like Claude produce performative compliance and hallucinations, and provides actionable verification strategies.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes the root causes of performative compliance and hallucination in Claude and other LLMs, offering actionable verification strategies.