#intelligent agents
1589 related articles
·3 min
Inside an AI Agent: How Intelligent Agents Think, Decide, and Act
A deep dive into AI Agent internals: from the perceive-reason-act loop, tool calling, and context management to error handling—revealing how agents truly work and their engineering challenges.
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·3 min
AI Agent Learning Roadmap: From Zero to Building Your Own Intelligent Agents
A structured AI Agent learning roadmap covering fundamentals (Agent principles, Prompt engineering), advanced topics (RAG, multi-agent collaboration), and three hands-on projects — ideal for beginners.
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·2 min
AI Agent Primer: The Core Differences Between Workflows and Intelligent Agents — and How to Build Them
Explore the key differences between AI Agents and workflows, and how LLMs evolve from reasoning to execution. Covers ReAct, task decomposition, enterprise value, and Python+LangChain development.
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AI Agent in 100 Lines of Lisp: Minimal…
·2 min
AI Agent in 100 Lines of Lisp: Minimal Code Reveals the True Nature of Intelligent Agents
A fully functional AI Agent in just 100 lines of Lisp reveals the essence of the ReAct loop. Deep dive into Agent architecture, Lisp's unique strengths, and minimalist engineering philosophy.
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Tutorials
Firebase AI Logic in Practice: Buildin…
·2 min
Firebase AI Logic in Practice: Building Intelligent Task Decomposition from Scratch with AI Agents
Learn how to add intelligent task decomposition to a cross-platform to-do app using Firebase AI Logic and Gemini, covering structured output, App Check security, and server-side Prompt templates.
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Industry Insights·3 min
A2A Intelligent Trading Platform: A New Business Model Where AI Agents Automatically Take Orders and Earn Money
Deep dive into Yoyomit's A2A intelligent trading platform—the world's first marketplace where AI Agents automatically trade, take orders, and settle payments with 95% zero human intervention.
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Tutorials·3 min
AI Agent Practical Development: A Complete Guide from Concept to Building Production-Grade Intelligent Agents
A deep dive into AI Agent core principles and practical development paths, covering perception-decision-execution capabilities, MCP protocol tool integration, and analysis of Manus and AutoGLM.
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Deep Dives·2 min
AITS Intelligent Testing Platform: How AI Agents Are Transforming Test Engineers from Script Writers to AI Commanders
Explore how AITS uses AI Agents to auto-generate test cases, self-heal scripts, and run exploratory testing — helping engineers evolve from script writers to AI testing strategists.
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·3 min
Gemini 3.7 Flash Release and GPT-5.6 Ultra-Fast Mode: AI Open Source Enters the Ecosystem Era
Google releases Gemini 3.7 Flash for coding and Agent optimization while OpenAI launches GPT-5.6 Ultra-Fast mode with 14x speed gains. AI open source shifts from open models to open ecosystems.
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·3 min
The Complete Guide to agent-browser: The Ultimate Tool for AI-Powered Browser Automation
Deep dive into Vercel Labs' agent-browser tool. Its REF element reference mechanism lets Claude Code automate web operations, form filling, login testing, and data collection with 10x efficiency gains and 92% success rate.
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·3 min
Claude Code Agent Teams in Practice: A Deep Dive into AI Agent Team Collaborative Development
Deep dive into Claude Code Agent Teams' working mechanisms, comparing Subagent vs Agent Teams in collaboration depth, use cases, and enterprise-grade project implementation experience.
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·4 min
Codex in Practice: A Complete Path for Ordinary People to Monetize Side Projects with AI Programming
A complete guide on using Codex and AI programming tools to build monetizable products from scratch, covering the 5-stage AI user model, four monetization paths, and Vibe Coding methodology.
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·5 min
What Is DeepSeek Harness? Dissecting the 7 Core Modules of Agent Architecture
Deep analysis of DeepSeek Harness: not just a product, but an Agent architecture paradigm. Dissecting 7 core modules including tool calling, memory systems, and sandbox environments.
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·1 min
Google AI Marketing Tools Explained: A Deep Dive into Google Ads and Analytics Agentic Features
Google introduces new AI agentic features in Google Ads and Analytics for automated ad optimization and proactive data insights. A deep dive into how these tools reshape digital marketing workflows.
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·3 min
GitHub Daily · Aug 23: Agent Ecosystem Explodes, Codex Leads the Terminal Programming Revolution
GitHub Trending Aug 23: Agent ecosystem explodes with OpenAI Codex leading terminal programming, Rust dominating high-performance tools, and local-first AI rising.
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·3 min
Deep Dive into DeepSeek Harness Developer Preview: A Self-Evolving Agent Framework
Deep dive into DeepSeek Harness Developer Preview: its self-evolving agent framework, Codis Kernel's component-based design, hot-swap architecture, and key differences from existing Agent tools.
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·3 min
DeepSeek Harness Architecture Explained: The "Everything is a Plugin" AI Agent Engineering System
Deep dive into DeepSeek Harness architecture: why the same model performs differently across tools. Explore 7 engineering modules including tool invocation, sandbox, and memory systems.
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·3 min
AT&T's AI Sales Agent: Google Reveals an Enterprise-Grade Deployment Blueprint
Google and AT&T reveal a production AI sales Agent system using persistent memory for cross-channel continuity, achieving line-level hyper-personalization on ADK+Gemini architecture.
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·2 min
Magnitude: A Privacy-First Code Assistant That Keeps Everything Local
Magnitude is a privacy-first code assistant that keeps model inference and Agent execution entirely local, with hardware-aware auto-configuration and full Agent capabilities for privacy-conscious developers.
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·2 min
apra-fleet: An Open-Source Solution That Turns Idle Devices into an AI Agent Fleet
apra-fleet is an open-source MCP server that turns idle devices into an AI agent cluster, supporting multi-model hybrid scheduling, cost-tier routing, and durable observable workflows.
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