#LLM code understanding
3008 related articles
Tutorials·3 min
Complete Installation & Configuration Guide for VectCut AI Editing Agent: Windows & Mac
Complete guide to installing and configuring VectCut AI Editing Agent on Windows and Mac, covering client download, CapCut draft path setup, and Git Bash installation.
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Tutorials·3 min
Agent Skills Decision Trees: Enabling Autonomous Decision-Making for AI Coding Assistants
Learn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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Tech Frontiers·3 min
Claude Code Sub-Agents and Cursor BugBot Launch: AI Programming Tools Get Major Upgrades
Anthropic adds custom sub-agents to Claude Code, Cursor launches code review Agent BugBot, Qwen releases 92-language translation model, and Google unveils three experimental AI products.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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Tutorials·3 min
RAG Technology Full-Stack Analysis: Core Principles, Enterprise Implementation & Learning Path
Deep analysis of RAG technology's core principles, three key values, enterprise implementation cases, common pitfalls, and a systematic learning roadmap covering vector databases, retrieval optimization, and Knowledge Graph fusion.
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Product Reviews·3 min
Running Qwen3.6-27B Locally on Mac: 4 Solutions Benchmarked
Benchmarking 4 solutions for running Qwen3.6-27B locally on Mac: GGUF, MLX Diflash, and MTP-LX. MTP-LX 4bit leads at 43.6 tok/s with solid coding, writing, and reasoning quality.
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Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Tutorials·3 min
Decoding LLM Naming Conventions: Parameter Counts, Quantization Formats & VRAM Requirements Quick Reference
Decode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.
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Tutorials·3 min
Claude Code + Skills: A Practical Guide to 10x AI-Driven Test Case Generation
Learn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.
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Tutorials·2 min
AI Code Explanation: Quickly Understand Someone Else's C# Code
Learn how AI code explanation helps C# developers quickly understand others' code. A 3-step demo with Tongyi Lingma for code handoffs, Code Review, and legacy system maintenance.
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Deep Dives·3 min
Getting Started with RAG: A Complete Guide from LLM Hallucinations to Retrieval-Augmented Generation
A deep dive into RAG (Retrieval-Augmented Generation) technology, covering LLM hallucinations, data staleness, and limited expertise, plus RAG workflows, core components, and LangChain learning paths.
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Tutorials·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Product Reviews·2 min
One Person, One Month: Building a Chinese Writing Community from Scratch with AI Development Tools
A Bilibili creator used AI coding tools to single-handedly build a Chinese writing community called "YouTi" in one month. This article breaks down the product design, prompt-response mechanics, manual review strategy, and how AI tools are reshaping indie dev capabilities.
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Tutorials·3 min
Getting Started with Vibe Coding: A Zero-to-One Guide for Product Managers
Vibe Coding lets product managers build product prototypes by describing requirements in natural language—no programming needed. Learn the core concepts, setup steps, and why PMs have a natural edge.
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Tech Frontiers·2 min
Gemini Omni Video Generation: One-Click Synthesis from Mixed Text, Image, and Video Inputs
Detailed guide to Google Gemini Omni's multimodal video generation: mix text, images, and video inputs to synthesize coherent 10-second videos with one click.
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Product Reviews·3 min
Trae SOLO 2.0 Deep Dive: Generating a ChatGPT Website with a Single Sentence — How Well Does It Work?
Hands-on test of Trae SOLO 2.0's zero-code development: generating a ChatGPT-like website from a single sentence. Detailed review of requirements generation, auto-correction, UI quality, and backend limitations.
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Expert Opinions·2 min
Small Business Owners Who Don't Understand AI Are Headed for Failure
Small business owners talk about embracing AI but haven't even registered an account? AI lowers technical barriers but raises cognitive ones. Owners must personally use AI to survive.
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