#AI Agent
596 related articles
·1 min
Replit President Michele Catasta: 50 Million People Building Software with Natural Language
Replit President Michele Catasta shares the platform's latest milestone: over 50 million users building software with natural language and Claude. A deep dive into how Replit is democratizing programming.
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·3 min
Deep Conversation with Gemini's Four Co-Leads: Technical Roadmap, Current State, and Future Direction
Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.
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·2 min
Andrew Ng's Agent Skills Course Explained: Building Reusable Professional Skills for AI Agents
Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.
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·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.
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·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.
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·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.
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Industry Insights·2 min
AI Product Development in Practice: Model Selection, Building Moats, and Paths to Commercialization
Practical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
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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.
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Tutorials·2 min
Cursor Multi-Agent in Practice: Building a Full-Stack Next.js Blog in 50 Minutes
Build a full-stack blog in 50 minutes using Cursor IDE's multi-Agent mode with Next.js, Clerk auth, and Supabase. Learn the 4-phase AI Agent workflow and key integration pitfalls.
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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.
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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.
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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.
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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.
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Tech Frontiers·3 min
GitHub Agent HQ Launch: AI Coding Tools Enter the Era of Platform Competition
GitHub Universe unveils Agent HQ platform for unified coding agent management, Copilot upgrades with multi-model support. OpenAI completes restructuring, Anthropic tests new model, NVIDIA open-sources AI models.
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Tutorials·1 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally, covering WSL2 installation, Git setup, and DeepSeek model integration on Windows to build a self-learning open-source AI Agent.
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Tutorials·2 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally on Windows, covering WSL2 setup, Git configuration, and DeepSeek model integration for a self-learning AI Agent.
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Product Reviews·2 min
Cursor Cloud Agent Demo: Eliminating Bottlenecks Across the Entire Software Development Lifecycle
Deep analysis of Cursor's Cloud Agent demo showing how cloud VMs, automated test artifacts, and a full-chain control plane systematically eliminate human bottlenecks across the software development lifecycle.
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Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode, and Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Explore multi-agent parallelism, Design Mode, and Best-of-N model comparison.
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Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode & Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Deep dive into multi-agent parallelism, Design Mode, and Best-of-N model comparison.
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Tutorials·1 min
Spring AI Alibaba Agent Framework: Three-Layer Architecture and Learning Path
Deep dive into Spring AI Alibaba Agent Framework's three-layer architecture: Spring AI foundation, Graph framework, and Agent Framework, with a recommended learning path for Java developers.
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