#Loops

243 related articles

2026年6月10日·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.

2026年6月9日·3 min

The Origin Story of Claude Code: From Internal Experiment to Programming Paradigm Shift

Deep dive into Claude Code's origin: from Anthropic's internal Labs Team prototype to a coding agent reshaping engineering productivity and the future of programming.

2026年6月9日·2 min

Harness AI Engineering Programming: A Practical Guide from Demo to Enterprise-Grade Delivery

Deep dive into Harness AI engineering programming: solve hallucinations, uncontrollable code, and missing standards to deliver enterprise-grade projects with tools like Cloud Code.

2026年6月9日·2 min

LLM Observability & Eval in Practice: A Complete Guide to Monitoring and Evaluating Large Models in Production

A deep dive into LLM observability, evaluation systems, and experimentation loops for production AI. Covers OpenTelemetry, trace monitoring, five eval signal types, four scope levels, and automated improvement flywheels.

2026年6月9日·1 min

Vercel v0 Launches Browser Use: AI Autonomously Opens Apps to Debug and Fix Bugs

Vercel v0 launches Browser Use: AI can now autonomously open apps, simulate user actions, evaluate designs, and proactively fix bugs — a key leap from code generator to full-stack dev partner.

2026年6月9日·3 min

From Tokens to Agents: A Deep Dive into the Core Logic Behind AI's Key Concepts

A systematic breakdown of core AI concepts — Token, RAG, Agent, MCP, Function Call — tracing the evolution from probabilistic text prediction to autonomous agents.

2026年6月9日·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.

2026年6月9日·2 min

AI Coding Far Outpaces Biology: Infrastructure Determines How Fast AI Gets Deployed

Why is AI racing ahead in coding but struggling in biology? This article analyzes the structural infrastructure gap and explores how to build Agent-friendly scientific data platforms.

2026年6月9日·4 min

Feedback Loops in Coding Agents: How Failure Becomes Fuel for Fixes

Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.

2026年6月9日·3 min

AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing

A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.

2026年6月9日·3 min

Cursor Installation & Core Features Explained: A Zero-Experience Guide to AI Programming

A detailed guide to installing Cursor AI code editor, understanding its interface layout, and mastering its three core modes (Ask, Agent, Plan) for zero-experience AI programming with natural language.

2026年6月9日·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%.

2026年6月8日·2 min

CodeGraph: Give Your Coding Agent a Code Map, Save 47% Tokens

CodeGraph is an open-source project with ~40K GitHub stars that uses Tree-sitter to build a local queryable code map, helping Claude Code and Cursor reduce 47% token usage and 58% tool calls.

2026年6月8日·3 min

AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company

A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.

2026年6月7日·4 min

Core Principles of Coding Agents: How Perception and Context Engineering Determine AI Coding Effectiveness

Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.

2026年6月7日·4 min

Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

2026年6月7日·4 min

Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path

Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.

2026年6月7日·3 min

Deep Dive into How Claude Code Works: Prompt Assembly, Permission Control, and the Skills Mechanism

Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.

2026年6月7日·3 min

Trae Agent Deep Dive: Hands-On Review of ByteDance's Open-Source AI Coding CLI Tool

Deep dive into ByteDance's open-source Trae Agent—a free MIT-licensed AI coding CLI tool. Covers installation, core features, run modes, and real-world performance vs Claude Code and Gemini CLI.

2026年6月7日·3 min

A Beginner's Real Experience with AI Programming: Will Programmers Be Replaced?

A zero-experience beginner's real journey using Doubao, ChatGPT, and Cursor to build an ESP32 hardware project. Deep analysis of AI programming limits and programmer future.