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A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.

A detailed guide on using Trae AI IDE with PySide6 to build a desktop base converter from scratch — covering prompt writing, code generation, testing, and EXE packaging.

Compare 9 leading Vibe Coding tools — Cursor, CodeBuddy, Codex, Trae & more. Find the best AI coding assistant for beginners to pro developers.

How should beginners choose between Codex, Cursor, and Claude Code? This guide compares learning curves and use cases, offering a step-by-step tool selection path from beginner to advanced.

Step-by-step tutorial on using Codex++ to connect Chinese LLMs like DeepSeek and Tongyi Qianwen without a ChatGPT account, with full Computer Use and plugin support.

Deep dive into LlamaFactory, an open-source unified fine-tuning framework supporting 100+ LLMs and VLMs with LoRA, QLoRA, RLHF methods, Web UI, 71K+ GitHub Stars, accepted at ACL 2024.

Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.

Explore how AI visual programming transforms development from writing code line-by-line to click-and-drag operations, and its impact on developers and the future of software.

Antigravity announces ecosystem expansion to help developers reduce debugging time and focus on architecture and design. Analysis of its strategy and AI dev trends.

Cursor releases its Developer Habits Report based on the world's most comprehensive AI programming dataset. This article analyzes how AI is reshaping software development workflows and model strategies.

Debunking 5 common AI Agent development misconceptions: Agents aren't smarter ChatGPTs, complexity doesn't equal power, and RAG can't cure hallucinations. Learn the right approach to building Agents.

Firebase AI Logic gets major updates at Google I/O, expanding AI model support and enhancing output integrity. Learn how these changes impact developers.

Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.

Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.

Step-by-step Dify local deployment guide using VMware, Ubuntu, BT Panel, and Docker. Perfect for beginners with zero Linux experience to set up this open-source AI development platform.
Industry InsightsPractical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
TutorialsA complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.
TutorialsIn-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.
TutorialsA deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
TutorialsDeep dive into Function Calling and MCP working principles through Cursor editor's system prompt analysis, comparing regular tools vs MCP tools and testing Agent capabilities across model sizes.