#large language models
780 related articles
Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
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Tutorials·4 min
Zero-Code Project: Building a Tetris Game on a Microcontroller with Cursor + Claude
Detailed breakdown of using Cursor editor and Claude to implement a complete Tetris game on an STC8H microcontroller with OLED display — zero code written, from hardware setup to iterative optimization.
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Industry Insights·3 min
The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave
Since 2025, AI-driven tech layoffs intensify with 75% of coding work coverable by AI. This article analyzes programmers' structural elimination crisis and the transformation path from code workers to AI architects.
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Product Reviews·3 min
OpenSlide: An Open-Source Framework That Lets AI Agents Write React Code to Create Presentations
OpenSlide is an Agent-native open-source slide framework that lets AI Agents write React code to generate professional presentations. Supports Claude Code, Cursor, and other coding Agents.
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Expert Opinions·3 min
Is Learning to Code Still Worth It in the AI Era? An Honest Answer from an Atlassian Engineer
Can AI write code instantly—so is coding still worth learning? An Atlassian engineer breaks down the truth behind tech leaders' claims and AI coding limitations.
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Industry Insights·2 min
AI Writes Code 2x Faster, But Maintenance Costs Triple: A Guide to Breaking the Efficiency Paradox
AI coding tools double development speed but triple maintenance costs. This article analyzes quality issues, technical debt accumulation, and provides actionable strategies to balance efficiency with maintainability.
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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.
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Product Reviews·2 min
Quip AI Game Generator Hands-On: Building a Mowing Game from Scratch with Zero Code
Hands-on review of Quip AI game generator: building a 2D side-scrolling mowing game from scratch using only natural language prompts, covering the full workflow from initial build through iterative refinement.
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Product Reviews·2 min
Alibaba Qoder 1.0 Hands-On Review: A Project-Level AI Programming Assistant Driven by Natural Language
Deep analysis of Alibaba Qoder 1.0's core capabilities: end-to-end development via natural language with task decomposition, file-by-file modification, and automated testing.
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Deep Dives·3 min
Deep Dive into How Claude Code Works: A New Programming Paradigm Driven by the Agent Loop
Deep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
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Industry Insights·2 min
Five Design Patterns for Long-Running AI Agents: From Checkpoint Recovery to Cluster Orchestration
Deep 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.
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Tutorials·2 min
Multi-Agent Collaborative Novel Writing: A Practical Tutorial from Template Setup to Continuous Creation
Learn how to build an AI novel writing team using Glutter's multi-Agent templates, with Editor-in-Chief, Author, and Proofreader roles collaborating to solve character consistency and plot coherence challenges in long-form fiction.
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Product Reviews·2 min
JCode: Deep Dive into a Multi-AI Agent Collaborative Programming Framework
Deep dive into JCode, an open-source Coding Agent Harness designed for multi-Agent collaboration. Features Agent Memory, Swarm collaboration, multi-Provider access, and self-evolution with just 14ms first-frame latency and 117MB for 10 sessions.
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Tutorials·2 min
AI Agent + Vue 3 Full-Stack Development in Practice: Integrating the Coze Platform with Frontend Engineering
A deep dive into integrating AI agents with Vue 3 frontend development, covering Coze platform agent building, Vue3+TypeScript+Pinia stack practices, and AI content generation features.
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Expert Opinions·3 min
Burning Money on AI with Nothing to Show? Three Hidden Pitfalls a Developer Learned After Spending $140
A developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
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Tutorials·3 min
The Vibe Coding 6-Step Method: A Complete Process for Building Real Products with AI and Zero Coding Experience
A detailed guide to the Vibe Coding 6-Step Method: from requirements alignment and high-fidelity prototyping to technical planning, modular implementation, testing, and launch — helping non-coders build real products with AI.
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Expert Opinions·2 min
Stop Chasing AI Tools: The Right Approach Is Using AI Agents to Solve Real Problems
Learned tons of AI courses but can't apply them? This article reveals the right direction: stop chasing tools, use AI agents to solve real business problems with 10x efficiency gains.
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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.
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Tutorials·3 min
Master Git Without Coding: 5 Plain-Language Commands to Let AI Handle Version Control for You
How can coding beginners use natural language to operate Git? With just 5 plain-language commands via an AI assistant, handle initialization, saving, rollback, branching, and pushing to GitHub—zero experience required.
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