#Loops
242 related articles
·4 min
Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready
A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.
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·3 min
AI Agent Development Learning Roadmap: A Four-Stage Guide from Zero to Production
A systematic AI Agent development roadmap covering core concepts, ReAct paradigm principles, multi-agent collaboration, and hands-on projects across four stages to master agent development in 2-3 months.
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·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·4 min
Nex-N2 Pro In-Depth Review: Impressive Code Generation, But How Inflated Are the Benchmarks?
In-depth review of open-source agent model Nex-N2 Pro: testing code generation, SVG output, and game dev capabilities while analyzing benchmark inflation, GPT distillation traces, and speed issues.
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·3 min
Codex vs Claude Code: The Truth Behind the 10x Bill Difference & a Practical Selection Guide
Same coding task: Codex costs $15, Claude Code costs $155. The 10x gap isn't in unit price — it's in token usage. A practical guide to choosing the right AI coding tool by scenario.
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·4 min
AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch
A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.
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From Prompt Engineer to Loop Architect…
·2 min
From Prompt Engineer to Loop Architect: The Paradigm Shift in AI Programming
Explore the paradigm shift from prompt engineering to loop architecture in AI programming. Learn about Anthropic's Routines, the six elements of mature coding loops, and token cost strategies.
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·3 min
AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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·3 min
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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·3 min
HiClaw Open-Source Multi-Agent Collaboration System: A New Paradigm for Human-AI Collaboration Based on the Matrix Protocol
Deep dive into HiClaw, an open-source multi-Agent OS built on the Matrix protocol for transparent, controllable human-AI task coordination with Human-in-the-Loop design.
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Loop Engineering: The Paradigm Shift f…
·3 min
Loop Engineering: The Paradigm Shift from Prompt Engineering to Automated Programming Agents
Deep dive into Loop Engineering's five core components including worktree isolation, skill files, and sub-agent separation. Explore why loop design is harder than prompt engineering.
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Claude Code Creator Reveals: How AI Pr…
·3 min
Claude Code Creator Reveals: How AI Programming Boosts Engineering Efficiency by 200%
Anthropic's Claude Code creator Boris Cherny shares AI programming practices: 90% of code written by AI, 200% engineer productivity gain, new hires productive in 2 days.
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·3 min
Codex Loop Patterns: The Paradigm Shift of AI Agents from One-Shot Tasks to Continuous Loops
Deep dive into Boris Cherny's AI agent loop patterns: loop workflow elements, loop contracts, four practical loops (PR Babysitter, CI Health, Deploy Verification, Feedback Clustering), and failure prevention strategies.
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·3 min
Claude Code Loop Patterns in Practice: Community Insights and Best Practices
Explore Boris Cherny's Claude Code loop patterns with community insights on /loop commands, test-driven loops, multi-agent collaboration, and best practices to avoid loop divergence.
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·1 min
OpenAgent: A Deep Dive into the Open-Source AI Personal Assistant Built on LLM + RAG
Deep dive into OpenAgent, an open-source AI assistant featuring Computer Use, Browser Use, and Coding Agent capabilities, built on LLM + RAG + Agent Loops.
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·1 min
PySpur: A Deep Dive into the Open-Source Visual AI Agent Workflow Development Platform
An in-depth look at PySpur, the open-source visual AI Agent workflow platform, covering its core features, technical positioning, use cases, and comparisons with LangFlow and Dify.
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·3 min
OpenAI Realtime API Deep Dive: Use Cases, Technical Challenges, and Industry Trends
Deep dive into OpenAI Realtime API's core capabilities and developer ecosystem, covering use cases like smart customer service, language learning, and real-time translation, plus technical challenges and industry trends.
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·3 min
OpenAI Codex Deep Dive: Core Capabilities and Engineering Best Practices Guide
Deep dive into OpenAI Codex's core capabilities including multi-task parallelism, Agent Loop mechanism, and Specification-Driven Development (SDD), with learning resources and advanced paths for mastering AI programming workflows.
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·2 min
AI Coding Tools Say Goodbye to Monthly Subscriptions: The Era of Usage-Based Billing Has Arrived
GitHub Copilot switches to usage-based billing. AI coding tools move from subscriptions to compute consumption. Learn the industry logic and how AI Cost Engineering helps developers control spending.
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