#OpenAI
861 related articles
Deep Dives·3 min
MCP (Model Context Protocol): Solving the Three Core Pain Points of AI Tool Calling
Deep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
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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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Product Reviews·2 min
Gained 25K Stars in One Week: This Chinese Open-Source AI Coding Tool Takes on Claude Code
A Chinese open-source AI coding tool gained 25K GitHub Stars in one week, challenging Claude Code with autonomous closed-loop programming, parallel tasks, checkpoint resume, and intelligent model routing.
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Product Reviews·2 min
Deep Dive into Codex App: Key Differences Compared to Claude Code and Cursor
Deep comparison of Codex APP, Claude Code, and Cursor covering pricing, stability, and strengths. Discover Codex APP's unique advantages in frontend development and UI interactions.
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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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Deep Dives·3 min
Deep Dive into Pi's Swarm System: A Biology-Inspired Multi-Agent AI Programming Architecture
Deep dive into Pi's swarm system architecture (26K GitHub stars): scout, worker, and soldier ant roles, pheromone communication, adaptive concurrency control, and how multi-agent collaboration revolutionizes AI programming.
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Tech Frontiers·3 min
Rent a Human Platform: AI Hiring Humans to Do Work — The Truth Behind 700,000 Sign-ups
Rent a Human lets AI Agents hire humans for physical tasks, with 700K+ sign-ups. Deep analysis of how AI hiring humans works, its gig economy ties, and implications for human-machine collaboration.
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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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Product Reviews·3 min
Deep Dive into Coze Agent World: When AI Gets Identity and Social Freedom
Deep analysis of Coze's Agent World update, covering AI identity systems, Agent social networks, Skill markets, and the paradigm shift from tools to digital companions.
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Tech Frontiers·3 min
Gemini 3.5 Pro Leak Analysis: Coding Matches GPT 5.5, Spark Agent Sparks Privacy Controversy
Gemini 3.5 Pro leak analysis: coding matches GPT 5.5, lightweight Flash achieves 92% performance at 20x lower cost. Gemini Spark as a 24/7 AI Agent raises privacy concerns amid Google's ecosystem flywheel strategy.
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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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Product Reviews·4 min
Lark CLI: A Deep Dive into Feishu's Open-Source AI Agent Command-Line Tool
Lark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
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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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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·2 min
The Core Technique of Vibe Coding: Give Your Judgment Criteria to AI
Most people using AI for coding state actions without judgment, causing outputs to miss the mark. Learn the core Vibe Coding method: provide AI with six judgment dimensions for precise collaboration.
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Product Reviews·2 min
Doubao Input Method Mac Edition Review: A Voice Input Efficiency Revolution for AI Programming
In-depth review of Doubao Input Method for Mac in AI programming scenarios, analyzing how voice input solves developer efficiency pain points when writing Prompts frequently.
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Product Reviews
OpenAI Codex Role-Specific Plugins Exp…
·2 min
OpenAI Codex Role-Specific Plugins Explained: Reshaping Team Collaboration Workflows
OpenAI launches Codex role-specific plugins covering data analysis, creative production, and product design, integrating 60+ systems to enable closed-loop workflows from ideation to prototype publication.
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Product Reviews
OpenAI Codex Role-Specific Plugins Exp…
·2 min
OpenAI Codex Role-Specific Plugins Explained: Reshaping Team Collaboration Workflows
OpenAI launches Codex role-specific plugins covering data analysis, creative production, and product design, integrating 60+ systems to enable closed-loop workflows from ideation to prototype publication.
Read more →
Product Reviews·3 min
Non-Programmer Ships a Product in 16 Days Using AI Tools: A Complete Toolchain Retrospective
A non-coder indie developer shipped a product in 16 days using Gemini, Cline, MiniMax, and DeepSeek. Full retrospective on tool selection, model quality gaps, and practical lessons learned.
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