#code automation
2051 related articles
Tutorials·3 min
Fully Automated Invoice Reimbursement with Local AI Agent: From Process Breakdown to Deployment
How to build a fully automated invoice reimbursement system with local AI Agents, covering OCR, info extraction, and form generation with MinerU+Qwen3+Qianwen Po.
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Tutorials·3 min
OpenClaw Local Deployment Tutorial: Connect to WeChat, Feishu & DingTalk in 10 Minutes
Complete guide to deploying OpenClaw locally, covering Windows setup, cloud deployment, WeChat/Feishu/DingTalk integration, and custom Skills—beginners can deploy in 10 minutes.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Product Reviews·2 min
Gained 25K Stars in One Week: This Chinese Open-Source AI Coding Tool Takes on Claude Code
A Chinese open-source AI coding tool gained 25K GitHub Stars in one week, challenging Claude Code with autonomous closed-loop programming, parallel tasks, checkpoint resume, and intelligent model routing.
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Industry Insights·3 min
The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave
Since 2025, AI-driven tech layoffs intensify with 75% of coding work coverable by AI. This article analyzes programmers' structural elimination crisis and the transformation path from code workers to AI architects.
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Tutorials·2 min
Deconstructing an AI-Generated AE Script: The Real Value Is Parametric Thinking
Deconstructing an AI-generated After Effects 3D carousel script: 9 sliders unified by one variable. The real value isn't the code — it's parametric design thinking.
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Expert Opinions·3 min
Is Learning to Code Still Worth It in the AI Era? An Honest Answer from an Atlassian Engineer
Can AI write code instantly—so is coding still worth learning? An Atlassian engineer breaks down the truth behind tech leaders' claims and AI coding limitations.
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Tutorials·3 min
AI Full-Loop Embedded Software Development: Zero-Code UART Communication in One Minute
A hands-on demo showing how an AI Agent completes UART serial communication development with zero code — from pin analysis and code generation to flashing and logic analyzer verification — all in under one minute.
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Product Reviews·2 min
Alibaba Qoder 1.0 Hands-On Review: A Project-Level AI Programming Assistant Driven by Natural Language
Deep analysis of Alibaba Qoder 1.0's core capabilities: end-to-end development via natural language with task decomposition, file-by-file modification, and automated testing.
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Tutorials·1 min
CloakBrowser: A Third-Generation Anti-Detection Browser Built from Source-Level Modifications
CloakBrowser is an open-source anti-detection browser built from Chromium source-level modifications, using 50+ patches to eliminate automation fingerprints and pass Cloudflare, reCAPTCHA, and more.
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Industry Insights·2 min
Five Design Patterns for Long-Running AI Agents: From Checkpoint Recovery to Cluster Orchestration
Deep dive into five core design patterns for long-running AI Agents from Google Cloud Next 26: checkpoint recovery, delegated approval, hierarchical memory, ambient processing, and cluster orchestration.
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Tech Frontiers·3 min
Gemini 3.5 Pro Leak Analysis: Coding Matches GPT 5.5, Spark Agent Sparks Privacy Controversy
Gemini 3.5 Pro leak analysis: coding matches GPT 5.5, lightweight Flash achieves 92% performance at 20x lower cost. Gemini Spark as a 24/7 AI Agent raises privacy concerns amid Google's ecosystem flywheel strategy.
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Product Reviews·2 min
JCode: Deep Dive into a Multi-AI Agent Collaborative Programming Framework
Deep dive into JCode, an open-source Coding Agent Harness designed for multi-Agent collaboration. Features Agent Memory, Swarm collaboration, multi-Provider access, and self-evolution with just 14ms first-frame latency and 117MB for 10 sessions.
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Product Reviews·4 min
Lark CLI: A Deep Dive into Feishu's Open-Source AI Agent Command-Line Tool
Lark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
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Tutorials·3 min
Master Git Without Coding: 5 Plain-Language Commands to Let AI Handle Version Control for You
How can coding beginners use natural language to operate Git? With just 5 plain-language commands via an AI assistant, handle initialization, saving, rollback, branching, and pushing to GitHub—zero experience required.
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Tutorials·4 min
Claude Code to Codex Migration Guide: Setup, Pricing, and Combined Usage in Practice
A detailed guide for Claude Code users to quickly get started with OpenAI Codex, covering desktop and CLI setup, pricing comparison, seamless project migration, plugin configuration, and context management differences.
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Product Reviews·2 min
Is OpenAI Codex Becoming More Like Claude Code? Developers Complain About Product Homogenization
Developers complain OpenAI Codex is becoming more like Claude Code. Analysis of AI coding tool homogenization trends and what developers should prioritize when choosing programming assistants.
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Tutorials·3 min
From Claude Code to Codex: A Practical Guide to Diversifying Your AI Coding Tools
Learn how to integrate OpenAI Codex into your dev workflow alongside Claude Code. Covers pricing comparison, desktop setup, one-click migration, context management differences, and unique visualization features.
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Tutorials·3 min
The Complete Guide to Hermes Agent: Building a Self-Evolving AI Assistant from Scratch
Complete guide to Hermes Agent's five core pillars: Memory, Skills, Soul, Crons & self-evolution. Covers VPS deployment, Telegram setup, security management & best practices for building an AI assistant that grows stronger over time.
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Tutorials·2 min
Five Mastery Levels of Claude: From Basic Q&A to Architect-Level Autonomous Systems
Based on 400+ hours of hands-on experience, a systematic breakdown of five progressive Claude mastery levels: from basic Q&A to architect-level autonomous systems with specific methods for each.
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