#Looping Engineering
86 related articles
·4 min
5 Models Coding Showdown: Claude, GPT, DeepSeek, M3 — Who's the Best Engineering Tool?
Hands-on comparison of Claude Opus 4.8, GPT 5.5, MiniMax M3, DeepSeek V4 Pro, and Mimo 2.5 Pro across SVG drawing, 3D game generation, elevator scheduling, and real bug fixing.
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·3 min
Cursor AI Editor Beginner's Guide: From Installation to Building a Personal Homepage
A detailed guide to Cursor AI code editor's core features, pricing plans, Design Mode, and a hands-on demo building a personal homepage with structured prompts.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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·3 min
Claude Code Creator Reveals: Programming Has Been Solved, the Era of Universal Coding Is Here
Claude Code creator Boris Charney shares how AI programming has been solved: from 150 daily PRs to agent loops running 24/7, and why coding will become as universal as literacy.
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·4 min
AI Agent Global Variable Pool & Memory Mechanisms: A Practical Guide to Workflow Node Data Passing
Deep dive into global variable pool design for AI Agent development, covering three memory types, variable scoping, node execution architecture, and placeholder variable replacement workflows.
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·2 min
Using HTML Instead of PPT for Dynamic Presentations: 1 Hour to Complete 3 Days of Work
A designer tested using AI-assisted HTML coding in Cursor to create dynamic presentations, cutting 3 days of work to 1 hour. Covers animation, interaction design, and Cursor workflow.
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Tutorials·3 min
Matt Pocock's AI Coding Workflow: A Complete Methodology from Ideation to Delivery
Deep dive into Matt Pocock's AI-assisted coding workflow: Grill Me consensus building, PRD generation, Tracer Bullet vertical slicing, AFK execution, and Deep Modules architecture design.
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Deep Dives·2 min
A Deep Dive into Karpathy's AI Coding Rules: Why a 65-Line Markdown File Earned 16k Stars
Deep dive into Karpathy's four AI coding rules: Think First, Keep It Simple, Surgical Changes, Goal-Driven. A 65-line Markdown file earned 16k GitHub Stars by solving AI coding's biggest pain points.
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Tutorials·3 min
Claude Code Source Code Analysis: A Complete Breakdown of the Startup and Bootstrap Flow
Deep dive into Claude Code's source code startup and bootstrap flow, from CLI entry's on-demand loading design and REPL startup to sentiment analysis and the Agent Loop prelude.
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Tutorials·3 min
Building AI Agents with Node.js: Replacing Prompt Engineering with Function Calls
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.
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Tutorials·3 min
The Right Way for Beginners to Build Products with AI: The Iterative Build Loop Explained
Vibe Coding isn't just chatting with AI. Learn the Iterative Build Loop: Discuss, Document, Develop, Learn — with VS Code and Claude Code to build products from scratch.
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Tutorials·3 min
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
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Tutorials·3 min
Multi-Agent Automated Coding Framework: A Deep Dive into Zero-Intervention Project Delivery
Deep dive into a multi-Agent automated coding framework using file state machines, scheduler orchestration, and multi-agent collaboration to achieve fully automated development from requirements to delivery in 3.5 hours with zero intervention.
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Product Reviews·1 min
Tracea: Open-Source Observability Platform for AI Agents with One-Click Self-Hosted Deployment
Tracea is an open-source AI Agent observability platform offering end-to-end tracing, cost monitoring, automated RCA, and a team memory system. Self-hosted via Docker with data staying on-premise.
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Industry Insights·2 min
Claude Code Open Source Analysis: 510K Lines of Code Reveal Industrial-Grade Agent Architecture
Deep analysis of Claude Code's open-source architecture: dual-loop execution engine, seven-step tool security pipeline, token compression, multi-agent collaboration, and memory system for AI Agent development.
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Deep Dives·2 min
CLAUDE.md: How One Markdown File Cut AI Coding Rework Rates from 41% to 11%
How CLAUDE.md — a 14k-star GitHub file — uses four golden rules to cut Claude Code rework rates from 41% to 11%, based on Karpathy's analysis of AI coding failures.
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Deep Dives·4 min
Agent Loop Core Mechanism Explained: Building a ReAct Loop from Scratch (With Debugging War Stories)
Deep dive into Agent Loop, the core mechanism of AI Agents, based on ReAct architecture. Covers Tool Call ID handling, context management, assistant message feedback, with full Python code and common bug fixes.
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Tech Frontiers·2 min
Codex CLI 0.128.0 Released: /goal Command Enables Automatic Looping Until Objective is Complete
OpenAI Codex CLI 0.128.0 introduces the /goal command, enabling autonomous looping until objectives are met or token budgets are exhausted. Analysis of its Ralph Loop implementation and safety controls.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Tutorials·3 min
Codex CLI /goal Command Explained: AI Auto-Loops Until Your Goal Is Complete
OpenAI Codex CLI 0.128.0 adds the /goal command for auto-looping task execution until goals are met. Learn about Ralph Loop pattern, token budgets, and autonomous coding agents.
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