#world model
6103 related articles
·4 min
7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore
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.
Read more →
·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and Workspace apps for cross-app task orchestration and office automation.
Read more →
·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and other Workspace apps for cross-app task orchestration and boosted productivity.
Read more →
Tutorials·4 min
Cursor + Codex Dual-IDE Collaboration: A Practical Methodology for Open-Source Project Customization
A 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.
Read more →
Tutorials·3 min
Building an AI Software Factory from Scratch: A Cursor Engineer's Hands-On Experience with Multi-Agent Collaboration
Cursor engineer Eric shares practical insights on building an AI software factory: automation levels, guardrail design, parallel Agent management, and scaling to 1000+ Agents for 24/7 development.
Read more →
Tutorials·3 min
ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling
In-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.
Read more →
Tutorials·3 min
Agent Tuning: A Complete Guide to Training LLMs with Agent Capabilities
A 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.
Read more →
Tutorials·2 min
Building a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment
A complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
Read more →
Tutorials·2 min
Understanding Function Calling and MCP Through Cursor's System Prompt
Deep 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.
Read more →
Product Reviews·2 min
Qoder vs Cursor Real-World Comparison: Which $20/Month AI IDE Is Better?
Hands-on comparison of Qoder vs Cursor AI IDEs: Agent autonomy, human interaction count, and architecture decisions. Qoder needed only 2 interactions vs Cursor's 8.
Read more →
Product Reviews·2 min
11 Best AI Agent Tools Explained: From Office Work to Coding with a Single Command
In-depth review of 11 AI Agent tools including ChatGPT Agent, Manus, and Claude Code, covering office work, academic writing, coding, and video creation scenarios.
Read more →
Tutorials·1 min
Trae AI Coding Tool: Installation, Setup & Beginner's Quick Start Guide
A detailed guide to installing and configuring ByteDance's Trae AI coding IDE, covering setup, interface, and core features with hands-on examples for beginners.
Read more →
Deep Dives·3 min
Deep Dive into How OpenClaw (Open-Source Crayfish) AI Agent Works
Deep analysis of OpenClaw AI Agent internals: System Prompt, tool calling, SubAgents, Skill system, memory, and Context Engineering explained.
Read more →
Expert Opinions·3 min
Windsurf CEO Deep Dive Interview: Speed Is the Only Moat
Windsurf CEO Varun Mohan shares insights on AI coding IDE pivots, product methodology, async Agent challenges, and differentiation strategy vs Cursor. Speed is the only moat.
Read more →
Product Reviews·1 min
Claude Haiku 4.5 Real-World Test: Failed All 5 Programming Tasks
Testing Claude Haiku 4.5 on 5 visual programming tasks including 3D modeling and physics simulation reveals systematic failures in reasoning, instruction following, and code quality.
Read more →
Tutorials·2 min
How to Switch to Full-Power Claude 4 in Cursor: Enable Max Mode to Boost Your Coding Efficiency
Learn how to switch to full-power Claude Opus 4 in Cursor, enable Max mode, manage quotas, and optimize prompts to dramatically boost your AI coding efficiency.
Read more →
Tutorials·3 min
How Ordinary People Can Build Products with AI Programming
AI programming tools let anyone build products, but zero-experience users still struggle. Learn why Python basics and key strategies help you direct AI effectively.
Read more →
Product Reviews·1 min
Claude Haiku 4.5 Hands-On: Coding Ability Rivals Sonnet 4 at One-Third the Cost
Hands-on testing of Claude Haiku 4.5's coding ability, comparing it with Sonnet 4.5 and Opus 4.1 across weather cards, physics simulation, and 3D rendering tasks.
Read more →
Tutorials·2 min
Complete Tutorial: Building AI Apps with Zero Code in Google AI Studio
Learn how to build an AI-powered planning app with zero code using Google AI Studio prompts, covering UI design, task systems, AI assistant integration, and one-click deployment.
Read more →
Tutorials·2 min
A Single .md File Reduced AI Coding Errors from 41% to 3%
A viral GitHub project uses just 65 lines in a .md rules file with 12 coding principles to reduce AI programming errors from 41% to 3%. Learn the four golden rules and 8 advanced techniques.
Read more →