#Agentic Loop
478 related articles
·4 min
Learning Path for AI Agent Development: A Complete Guide from Core Architecture to Production Deployment
A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.
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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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·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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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
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
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
8 AI Coding Tools Compared: A 5-Tier Buying Guide
In-depth comparison of 8 mainstream AI coding tools including GitHub Copilot, Cursor, Windsurf, and Claude Code, ranked into 5 tiers with tips to avoid bad plugins.
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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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·3 min
Deep Dive into Google I/O 2025's Three Major Android Developer Productivity Updates
Deep dive into Google I/O 2025's three major Android productivity announcements: Android CLI stable release, Android Skills expansion, and Android Bench model evaluations for the Agentic Development era.
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·1 min
Vibe Coding in Practice: Driving AI Programming with Natural Language from Zero Experience
A comprehensive guide to Vibe Coding methodology covering Claude Code tool selection, DeepSeek model adaptation, agentic engineering principles, and the complete path from zero to deploying web apps.
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·3 min
GitHub Universe 2026 Returns: Officially Entering the AI Agent Era
GitHub Universe returns Oct 28-29, 2026 at Fort Mason Center, San Francisco, themed around the Agentic Era. From Copilot to AI Agents, GitHub leads software development into autonomous intelligence.
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·2 min
AI Agent Full-Stack Development: Architecture Principles and Production-Grade Project Implementation Guide
A comprehensive guide to AI Agent full-stack development covering LangChain, LangGraph, MCP protocol, and LLM deployment, with a hands-on Vue3 project demo showcasing the perception-decision-action loop.
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·3 min
The Rise of Model Routing: Breaking Through the Enterprise AI Cost Crisis
Enterprise AI spending is out of control. Model routing emerges as the solution—from Cisco's token economics to Cognition's productivity guarantee, learn how intelligent routing cuts AI costs by 95%.
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·2 min
GPT-Rosalind: A Detailed Look at OpenAI's AI Model Built for Life Sciences
OpenAI launches GPT-Rosalind, an enterprise AI model for life sciences. Integrating GPT-5.5 agentic coding and tool use, it covers drug discovery, molecular design, data analysis, and experimental workflows.
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·3 min
Google CEO Pichai Admits AI Coding Gap, Details Catch-Up Strategy and AGI Outlook
Google CEO Sundar Pichai admits Google lags in AI coding, details its catch-up strategy involving data flywheels, addresses Gemini controversies, and shares his evolving views on AGI.
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·3 min
Google CEO Admits Gemini Lags in Coding: Lacking an Entry Point Is Just the Surface — What's the Real Problem?
Google CEO Pichai admits Gemini lags behind Cursor and Claude Code in AI coding, blaming lack of product entry points. But the real issues are failed product experience, lost developer trust, and ecosystem advantages that haven't converted to competitiveness.
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·3 min
Sonar Tests Code Quality Across 53 LLMs: Claude Has the Most Security Vulnerabilities, GPT-5 Code Volume Surges 5x
Sonar evaluates 53+ LLMs on 4,444 Java tasks: Claude has the highest security vulnerability density at 300/million lines, GPT-5 code volume surges 5x to 1.2M lines. Deep analysis of real-world code quality.
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·2 min
Former Anthropic Engineer's Hands-On Review: Why He Ditched Claude Code for Codex
Former Anthropic engineer Pietro shares why he ditched Claude Code for Codex, his efficient workflow, model switching strategies, and how AI Agents are reshaping software and startups.
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·1 min
Pi Agent: When Every AI Coding Framework Is Adding More, It Chose to Subtract
Deep dive into Pi Agent's minimalist design: no sub-agents, no MCP, no background tasks—yet its self-extending Harness makes it ideal for building AI coding products.
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