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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.
TutorialsA comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
TutorialsA systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.
TutorialsA detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
TutorialsA beginner's Java full-stack guide covering Java's origins, real market position, enterprise server-side strengths, Java SE/EE/ME platforms, and a complete learning path from basics to full-stack.
Industry InsightsIn-depth analysis of front-end, back-end, operations, and other IT roles, with insights into software testing career paths and specializations for IT professionals considering a transition.
TutorialsIn-depth analysis of a 198-hour Python+AI beginner course: breaking down its structure, learning path, and projects with honest pros, cons, and study tips.
TutorialsDeep dive into MCP (Model Context Protocol) principles and practical applications. Learn how LLMs connect to external tools via MCP to become agents, covering Java tech stacks, MCP Server ecosystem, Cherry Studio demos, and A2A protocol comparison.
TutorialsA systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
TutorialsA beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
TutorialsA systematic four-stage career path for AI/LLM application development: from RAG and Agent fundamentals to architecture design, helping developers transition to AI roles targeting 40K+ monthly salary.
Industry InsightsIn-depth analysis of 2026 IT career prospects across development, testing, operations & network engineering, with actionable transformation strategies.
TutorialsIn-depth analysis of three LLM engineer career paths (Application, R&D, Algorithm), bachelor's degree entry, core algorithms, salary benchmarks, and a three-tier learning roadmap.
Product ReviewsIn-depth comparison of Heima, Tarena, and Atguigu across curriculum, teaching methods, instructor quality, and ideal student profiles to help you choose the right IT training institution.
TutorialsStep-by-step guide using Google AI Studio with Gemini 3.1 Pro to generate a professional responsive landing page with SVG animations and deploy it live for free via GitHub + Vercel—zero code required.
Tech FrontiersA detailed Cursor AI programming tutorial featuring a Xiaohongshu-style WeChat mini program project, covering requirements analysis to full implementation with Claude 3.7.
Expert OpinionsReplit CEO Amjad Masad on AI Agent long-horizon reasoning breakthroughs from 2 to 200 minutes, natural language programming, and why current AI utility may be AGI's biggest obstacle.
TutorialsLearning C in 2026 is still essential. Learn how to efficiently study C with AI tools like GitHub Copilot and Cursor AI, covering C history, version selection (C99 recommended), and AI-assisted learning paths.
TutorialsA deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
TutorialsHow can Java developers move from small companies to big tech? This guide covers career path planning, resume repair strategies, 2025's three core Java tech stacks, and a 6-month upgrade plan.