#Loops

242 related articles

2026年6月20日·3 min

Python Excel Automation in Practice: Data Filtering and Categorization with Pandas

Learn how to use Python Pandas to automate Excel data filtering and categorization. Core code is just 6-8 lines — handle massive datasets effortlessly.

2026年6月20日·3 min

What Happens to Developer Jobs When AI Writes 80% of the Code? A Deep Dive into Anthropic's Landmark Report

Anthropic's latest report reveals over 80% of its codebase is AI-written and engineer output has grown 8x. A deep analysis of AI's impact on software development, the taste moat, AI bubble stages, and loop engineering.

2026年6月19日·4 min

Agent Harness: The Paradigm Leap from Prompt Engineering to Harness Engineering

Deep dive into Agent Harness: tracing the paradigm evolution from Prompt Engineering to Context Engineering to Harness Engineering, and how loop-based architectures solve context loss in AI coding agents.

2026年6月19日·3 min

Codex + Claude Code in Practice: From Vibe Coding to Enterprise-Grade AI Engineering

A deep dive into Codex and Claude Code for real-world AI programming—from Vibe Coding prototypes to Plan mode and SuperPAL engineering, with LLM selection strategies and enterprise workflows.

2026年6月19日·3 min

LangGraph Beginner's Guide: Core Advantages, Common Misconceptions, and Deployment Practices Explained

A comprehensive guide to LangGraph's three core advantages, its relationship with LangChain, short-term and long-term storage mechanisms, and deployment strategies for development and production environments.

2026年6月18日·3 min

9 Advanced Claude Code Tips: From Memory Injection to Context Management — A Complete Guide

9 advanced Claude Code tips covering /init memory injection, Token context monitoring, Plan mode, collaboration strategies, and /undo safe rollback to build a complete AI coding workflow.

2026年6月18日·2 min

Claude Code Practical Course Breakdown: From AI Programming Methodology to Autonomous Agent Building

Deep dive into a Claude Code AI programming course covering AFK autonomous Agent building, codebase optimization, and multi-stage Kanban management to enable efficient human-AI collaboration.

2026年6月18日·3 min

Enterprise-Grade RAG Full-Pipeline Optimization: Multi-Turn Conversations, Retrieval Tuning, and Production Engineering in Practice

A deep dive into full-pipeline optimization for enterprise RAG systems, covering multi-turn query rewriting, retrieval tuning, and quality evaluation to take RAG from demo to production.

2026年6月18日·3 min

DeepSeek + MATLAB: Zero-Barrier AI Auto-Programming and Debugging

Learn how to call the DeepSeek API in MATLAB for AI auto-programming and debugging. From API key setup to building an auto-debug inner loop, a complete guide with a linear fitting demo.

2026年6月18日·2 min

Building Connect 4 in Pure CSS: Rethinking CSS as a Programming Language

A developer built a complete Connect 4 game using only CSS — no JavaScript. This article explores the Checkbox Hack, selector combinations, and other core techniques, examining the computational boundaries of CSS.

2026年6月18日·2 min

LangChain + MCP Agent Development: A Practical Guide to LLM Selection and Common Pitfalls

A deep dive into LLM selection for LangChain and MCP agent development, comparing DeepSeek V3/R1 vs Qwen3 on Function Calling and MCP support with practical tips.

2026年6月17日·2 min

The Era of Managed Agents: Anthropic vs. Google's Two Diverging Approaches

Deep analysis of Anthropic vs Google's Managed Agent architectures, pricing strategies, and selection guidance. Managed Agents are emerging as a new AI infrastructure product category.

2026年6月17日·4 min

AI Engineering in Practice: The Right Way to Build Enterprise Projects with Claude Code

Learn how to use Claude Code with Specification-Driven Development (SDD) to build enterprise projects, solving common AI coding pitfalls like infinite bug loops, code quality issues, and hallucination risks.

2026年6月16日·3 min

Multi-Agent Cost-Cutting Guide: 4 Documents to Slash 60-80% of Your Token Spending

Multi-agent bills out of control? This article breaks down two core token cost pain points and provides 4 actionable documents to cut multi-agent task costs by 60-80%.

2026年6月16日·2 min

DeepSWE Benchmark Deep Dive: Exposing SWE-Bench Flaws and the True Coding Ability Rankings

Deep dive into how DeepSWE exposes SWE-Bench Pro's data contamination and cheating issues. GPT-5.5 leads at 70%, open-source models lag far behind. Covers results, cost comparisons, and practical developer advice.

2026年6月16日·3 min

The Ultimate Guide to Squeezing Every Drop from Mythos/Fable: Burning Through $8,000 in Inference Credits in 10 Days

Deep dive into maximizing Anthropic's Fable/Mythos model: 5-hour limit workarounds, dual account rotation, multi-Agent orchestration, and Mac Mini remote deployment to get $8,000 of inference from a $200 subscription.

2026年6月16日·3 min

OpenAI Codex Fully Autonomous Programming: A Complete Record of Building a WeChat Pay Membership Mini Program from Scratch

A detailed record of using OpenAI Codex's Goal Coding mode to autonomously build a full WeChat Pay membership mini program from scratch, covering architecture, pitfalls, and cost analysis.

2026年6月16日·4 min

Connecting OpenAI Codex to Chinese AI Models: A Zero-Barrier AI Programming Guide

Learn how to connect OpenAI Codex to Chinese AI models like DeepSeek and Volcano Engine via CC Switch, with a step-by-step guide and a 2048 game demo.

2026年6月15日·2 min

Qwen3-Coder Deep Dive: A Coding Model Built for Long-Horizon Agent Loops

Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.

2026年6月15日·3 min

Why SFT Can't Fix the Root Cause of JSON Errors: How GRPO Correctness Training Breaks Through Coding Agent Bottlenecks

Analysis of why SFT can't fix coding agent JSON errors and how GRPO's binary reward signals and synchronized weight updates train directly for correctness.