#Thinking Machines
316 related articles
Expert Opinions·2 min
The Endgame of AI Programming: Why It Might Return to Assembly Language
Exploring the ultimate form of AI programming: when AI fully takes over coding, will high-level languages lose their purpose? Analyzing the possibility of AI writing assembly directly.
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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Deep Dives·1 min
Beginner's Guide to AI Agents: Core Principles, Technical Architecture, and Application Scenarios Explained
A systematic guide to AI Agents covering core principles of perception, decision-making, and action, plus the technical stack of LLMs, tool calling, memory systems, and RAG, with real-world use cases.
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Tutorials·4 min
Google Jules Official Launch: A Complete Guide to the Free AI Coding Agent
Google's AI coding agent Jules is now officially available, with a free tier offering 15 tasks/day. Covers Jules's 5 core features, GitHub integration, CLI support, use cases, and practical tips.
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Deep Dives·4 min
AI Agent Skill Architecture Breakdown: Decision Layer + Encapsulation Layer + Execution Layer Practical Guide
Deep breakdown of AI Agent Skill's three-layer architecture: decision layer dynamic routing, encapsulation layer SOP standardization, and execution layer state machine self-healing, with practical solutions for context explosion, error recovery, and generality balance.
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Tech Frontiers·3 min
GPT Image 2 Generates APP Interfaces from Scratch — A Paradigm Revolution in AI Front-End Development
GPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Tutorials·3 min
LangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
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Deep Dives·3 min
AI Agent Core Principles Explained: The Decision Loop and Three-Component Architecture
Deep dive into AI Agent core principles: the Sense-Plan-Act-Observe decision loop, and how Planning, Memory, and Tools components transform LLMs into autonomous digital employees.
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Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
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Deep Dives·3 min
Harness Engineering: The Core Engineering Methodology for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: its definition, six core components, and production practices. Learn why Prompt and Context Engineering aren't enough for production-grade AI Agent systems.
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Expert Opinions·3 min
Dario and Daniela Amodei in Conversation: Decoding Claude's Future and AI Safety Strategy
Anthropic co-founders Dario and Daniela Amodei join a rare public conversation moderated by CPO Ami Vora, discussing Claude's evolution, AI safety advances, and Anthropic's competitive strategy.
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Tutorials·4 min
Gemini CLI + Kali Linux in Practice: A Complete Guide to AI-Automated Penetration Testing
Complete guide to Kali Linux 2025.3 with Gemini CLI integration for AI-automated penetration testing using natural language to drive Nmap, Nikto, and more.
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Deep Dives·4 min
Codex Is More Than Code: A Complete Analysis of How OpenAI's Agent Is Reshaping Knowledge Work
OpenAI Codex has evolved from a coding tool into a general-purpose AI agent covering project management, information synthesis, and personal automation. Deep dive into real usage, /goal mode, enterprise security, and tips.
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Product Reviews·3 min
MeMo Open-Source AI Agent Platform In-Depth Review: Long-Term Memory + MCP Protocol + Multi-Bot Collaboration in Practice
In-depth review of MeMo, an open-source AI Agent platform. Covers long-term memory, MCP protocol, multi-Bot container isolation, omni-channel deployment, with setup tutorials and usage tips.
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Tutorials·4 min
Codex + Ollama Local Deployment Guide: Build a Free AI Coding Assistant at Zero Cost
Step-by-step guide to deploying Codex with Ollama locally for a free AI coding assistant, covering hardware checks, Ollama setup, model downloads, and full integration configuration.
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Tutorials·4 min
OpenAI Codex CLI Installation Guide: Windows Setup & GPT-5 Programming in Practice
Complete guide to installing OpenAI Codex CLI on Windows, including Node.js setup, account login, GPT-5 model selection, VS Code integration, and comparison with Claude Code.
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Tutorials·4 min
The Complete Guide to Mistral Vibe: A Free API-Powered Terminal AI Coding Assistant
Complete guide to Mistral Vibe terminal AI coding assistant: free Experiment Plan setup, Mistral Medium 3.5 features, remote agent capabilities, and six core use cases for zero-cost AI-assisted coding.
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Tutorials·3 min
Implementing LangGraph in TypeScript: Deconstructing the Core Principles of AI Agent Frameworks from Scratch
Learn how to implement LangGraph's core design from scratch in TypeScript, covering state-graph-driven architecture, node-based orchestration, and the ReAct pattern for AI Agent development.
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Expert Opinions·4 min
Rejecting Vibe Coding: Matt Pocock's Engineering-Driven Approach to AI Programming
TypeScript expert Matt Pocock's open-source Skills repo earned 80K+ GitHub Stars, using TDD and Domain-Driven Design to solve AI programming's three biggest pain points.
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