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Codex Systematic Tutorial: From Beginn…
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
Java Developer's Guide to AI Applicati…
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
Cursor Design Mode Launch and OpenAI C…
Cursor launches Design Mode for visual development, OpenAI Codex updates and Safety Lock Mode released, Anthropic doubles limits, AI agent leaderboards debut, Google DeepMind model compression breakthrough.

5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.

Anthropic launches Claude Marketplace with five new partners: Augment Code, Bolt.new, CodeRabbit AI, Hebbia, and Legora. Learn how it works and what it means for enterprises.
TutorialsAndrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data analysis, and Figma-to-web apps, with MCP server integration and parallel session best practices.
TutorialsComplete guide to enterprise RAG projects covering principles, LangChain implementation, data processing, retrieval optimization, evaluation, and cloud deployment for AI knowledge base applications.
Industry InsightsDeep dive into five core design patterns for long-running AI Agents from Google Cloud Next 26: checkpoint recovery, delegated approval, hierarchical memory, ambient processing, and cluster orchestration.
Industry InsightsIn-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.
TutorialsA detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
Building a Match-3 Game with AI and Le…
A front-end dev uses Godot + MCP to let AI build a Match-3 game from scratch, then designs a decoupled architecture for an Agent to play it autonomously with self-improving strategies.
Industry InsightsThe global AI market is expanding at a CAGR exceeding 35%, creating new demand across nearly every segment. This article analyzes the core logic of AI's expanding market and key takeaways for practitioners and investors.
AI Agent Learning Roadmap: From Beginn…
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
Context Mode: How One MCP Plugin Cured…
Context Mode solves AI coding assistants' context amnesia via sandbox isolation, session continuity tracking, and code-thinking philosophy—compressing context consumption by 99% and earning 9,700 Stars in two months.
TutorialsSpring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
Cloudflare AI Search in Practice: Buil…
Complete guide to deploying Cloudflare AI Search managed RAG service, covering R2 data sources, AI Gateway, text chunking, Reranker, and semantic caching for production-grade intelligent search.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.