#Qwen3 Coder
208 related articles
Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Learn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
Read more →
Tutorials·3 min
Optimizing ASR Startup Scripts with DeepSeek: Intelligent Detection Over Countdown Timers
Learn how to use DeepSeek to rewrite ASR local AI project startup scripts from countdown mode to intelligent output-based detection, with full steps and troubleshooting tips.
Read more →
Tutorials·3 min
Z-Image Model in Practice: Generate Cinema-Quality Ancient Chinese Beauty Portraits in 3 Minutes
Complete guide to Z-Image model variants and ComfyUI workflow setup, using Doubao for prompt reverse-engineering to generate cinema-quality ancient Chinese beauty portraits in minutes.
Read more →
Tutorials·3 min
Claude Code with DeepSeek API Tutorial: 7 Steps to Build a Low-Cost AI Coding Assistant
Step-by-step tutorial on switching Claude Code's backend to DeepSeek API using ccswitch. Complete 7-step setup guide to build a low-cost AI coding assistant with troubleshooting tips.
Read more →
Product Reviews·3 min
OpenCode: A Detailed Guide to the Open-Source Claude Code Alternative with Local Deployment Support
A deep dive into OpenCode, an open-source AI coding assistant supporting local private deployment, multi-model switching, and client-server architecture as a complete Claude Code alternative.
Read more →
Research·3 min
SciMDR: How a 7B Small Model Rivals GPT-5 in Scientific Reasoning
Yale and other institutions introduce SciMDR, a two-stage data synthesis pipeline enabling a 7B model to match GPT-5 level performance in scientific literature comprehension.
Read more →
Tutorials·2 min
Tutorial: Building a Low-Cost AI Code Editor with DeepSeek-V3 + VSCode
Step-by-step tutorial: Build a low-cost AI programming assistant using DeepSeek-V3 API with VSCode's Continue plugin. Covers setup, API Key configuration, code completion demo, and Ollama local deployment.
Read more →
Product Reviews·3 min
Qwen Code 2.0 Update Analysis: Plan Mode and Visual Intelligence in Practice
Deep analysis of Qwen Code 2.0 updates covering Plan Mode approval mechanism, Visual Intelligence auto-switching, Zed editor dual authentication, and Windows fixes for this CLI coding assistant.
Read more →
Deep Dives·4 min
Core Principles of the Transformer Architecture: A Deep Dive into Self-Attention Mechanisms and Engineering Optimizations
Deep dive into Transformer architecture covering self-attention QKV mechanics, Encoder-Decoder structure, Flash Attention memory optimization, RoPE positional encoding, and GQA inference acceleration.
Read more →
Tutorials·4 min
Complete Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Complete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
Read more →
Tutorials·2 min
Complete Guide to Configuring Local DeepSeek Model in PyCharm for AI-Assisted Programming
Learn how to configure a local DeepSeek model in PyCharm via Ollama for free, privacy-safe AI-assisted programming. Includes installation steps, plugin setup, usage tips, and hardware recommendations.
Read more →
Tutorials·2 min
pnpm Monorepo Full-Stack AI Engineering in Practice: Building a Multimodal Conversation System
Learn how to build a full-stack multimodal AI conversation system using pnpm Monorepo architecture, covering local model integration, image understanding, and streaming chat.
Read more →
Tech Frontiers·2 min
Kiro Stops Providing Claude Model Services to Chinese Users: Impact and Alternatives
Kiro officially stops providing Claude models and Auto Agent to Chinese users. Learn about the impact, official alternatives, refund policies, and practical strategies for affected developers.
Read more →
Tutorials·3 min
DeepSeek V4 Flash MTP Speculative Decoding Real-World Test: A Guide to 20% Faster Local Inference
Real-world testing of DeepSeek V4 Flash with MTP speculative decoding: ~20% speedup for code generation, minimal gains for text. Covers memory overhead, accuracy differences, Q4 vs Q3 quantization, and full deployment tutorial.
Read more →
Deep Dives·3 min
Hermes Self-Evolution Framework: An Open-Source Solution for Automated AI Agent Prompt Optimization
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
Read more →
Tech Frontiers·2 min
GLM5 Architecture Leaked: 745B Parameters, DeepSeek V4 May Launch Quantized Smaller Model First
GLM5 code leak reveals 745B-parameter MoE architecture replicating DeepSeek V3. DeepSeek V4 may launch a 200B quantized model first, with flagship exceeding 1T parameters.
Read more →
Tech Frontiers·2 min
DeepSeek OCR2, Kimi K2.5, and Microsoft Maia 200 All Launched on the Same Day
DeepSeek releases OCR2 replacing CLIP with an LLM as visual encoder; Moonshot AI launches Kimi K2.5 with 100+ sub-agent cluster mode; Microsoft deploys 3nm Maia 200 chip; Alibaba releases Qwen3 Max Thinking.
Read more →
Tutorials·2 min
Bolt.diy Local Deployment Guide: A Free, Open-Source AI Full-Stack Development Tool
Bolt.diy is the open-source alternative to Bolt.new, supporting OpenAI, Claude, and other LLMs with zero subscription fees. A complete local deployment guide with model setup and use cases.
Read more →
Tech Frontiers·1 min
Qwen3.5-Omni Released: SOTA on 215 Tasks, Alibaba's Omni-Modal Model Takes on Gemini Head-On
Alibaba releases Qwen3.5-Omni omni-modal model, achieving SOTA on 215 tasks with native multimodal pretraining on 100M+ hours of audio-visual data, surpassing Gemini 3.1 Pro on multiple metrics.
Read more →
Tutorials·2 min
Getting Started with Qwen3-0.6B Fine-Tuning: Core Concepts of Large Language Models and Fine-Tuning Methodology Explained
Starting from the three core characteristics of LLMs, this article systematically covers foundational knowledge needed for Qwen3-0.6B fine-tuning, including model comparisons, fine-tuning value analysis, and the complete learning path.
Read more →