1473 related articles

Hands-on review of DeepSeek GUI's full agent workbench: KUN local runtime, cache-first architecture, task scheduler, and Token cost advantages for developers.

Deep analysis of oh-my-openagent plugin's critical flaws: hardcoded Claude Opus 4.7 identity misleads non-Claude users, prompt injection doubles token costs. Includes alternatives and developer tips.

A deep dive into Vercel v0's Annotations feature: click elements, add comments, and batch-submit to AI — transforming visual feedback into efficient AI code collaboration.

A deep comparison of Claude Code vs traditional AI chat tools across 5 dimensions: interaction, context, execution, memory, and tool invocation.

Apple is deprecating the ImageCreator class in iOS 27. Developers must migrate to Image Playground Sheet or third-party services. Full breakdown of impact, migration options, and Apple's AI strategy shift.

A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.

A deep dive into Dify, the open-source AI app development platform — covering core features, Coze comparison, enterprise use cases, and a learning roadmap.

An in-depth analysis of five stages in AI coding tool evolution, from manual coding to Claude Code and Cursor, exploring the 0-to-1 vs 1-to-100 challenge and future trends like interrogative programming.

A systematic guide to LangChain covering environment setup, model invocation, Prompt Templates, Output Parsers, LCEL chain expressions, and hands-on RAG implementation for beginners.

Datasette 1.0a33 extends the ?_extra= pattern from tables to queries and rows. Simon Willison uses dual-AI workflow with Claude and GPT to build an interactive API Explorer tool.

A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.

Deep dive into why industrial AI Agents fail: 4 critical strategies covering edge deployment, closed-loop control, rule verification, and safety mechanisms for reliable factory AI systems.

Build AI Agents with zero coding experience! Learn prompt engineering, RAG knowledge bases, and workflow orchestration using no-code platforms like Coze and Dify, plus real monetization paths.

Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.

A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.

A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.

A comprehensive guide to AI Agent architecture covering ReAct paradigm, multi-agent collaboration, RAG integration, and the planning-memory-tools framework, with a complete learning path from concepts to production deployment.

Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.

Step-by-step tutorial on using CC Switch to connect Claude Code to DeepSeek, Kimi, and other Chinese LLMs without a VPN or Claude account for low-cost AI coding.

Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.