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A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.

Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.

A comprehensive guide to Agent Skills: what Skills are, how they differ from Prompts, and how to design SKILL.md files. Learn modular AI Agent development through a real restaurant branding example.

Vercel's Chief of Software Andrew Qu explains the eve Agent framework's design philosophy, covering Skills modularity, Sandboxes security, and agent-readable websites—revealing the paradigm shift from instruction-driven to goal-driven software.

Manticore Search restructured its ONNX inference path to achieve 14x faster text embeddings. Deep dive into batching, session reuse, zero-copy memory, and thread tuning for vector search systems.

In-depth analysis of OpenAI Codex's four usage forms, comparing Codex, Claude Code, and Cursor across price, stability, and frontend/backend fit to help developers choose the right AI programming tool.

A deep dive into clean-code-javascript (94k+ GitHub Stars), covering variable naming, function design, SOLID principles, DRY, and more for writing maintainable JS.

How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.

GitHub Trending July 4: The AI Agent ecosystem explodes across specs, frameworks, and apps — from agentskills to Vibe-Trading, a full Agent tech stack emerges.

A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).

AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.

Hands-on review of Tencent's free AI coding assistant CodeBuddy, covering installation, login setup, basic command testing, and building a corporate website with one prompt.

A detailed Python self-study roadmap in three phases: fundamentals, OOP & intermediate skills, and hands-on projects including web scraping and office automation.

A practical LangGraph.js guide for frontend engineers covering LangGraph vs LangChain comparison, workflow vs general-purpose agent types, and layered Agent architecture design.

Compare OpenAI Codex vs ChatGPT: ChatGPT is a conversational advisor while Codex is an autonomous AI coding agent that writes code, fixes bugs, and runs tests for developers.

A comprehensive guide to building enterprise knowledge bases with RAG, covering vector database selection, text chunking, Embedding models, multi-strategy retrieval, re-ranking, and Agent integration for high-accuracy AI Q&A systems.

Learn how to build a Feishu-style document system with TipTap editor, integrating AI auto-completion, document continuation, and RAG knowledge base Q&A with vector databases and Embedding.

A four-stage learning path for AI LLM application development: from Python basics and RAG architecture to Agent cluster orchestration, helping developers transition into AI roles.