#Infrastructure as Code
2572 related articles
Expert Opinions·3 min
Replit CEO Interview: AI Coding Models Are Plateauing, the SaaS Apocalypse Is Happening Now
Replit CEO Amjad Massad on AI coding models hitting a ceiling, competition shifting to product engineering, SaaS being replaced by AI Agents, the death of the IDE, and multi-model orchestration.
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Tutorials·4 min
OpenAI Codex in Practice: A Complete Workflow for Advancing 6 Projects Simultaneously
A detailed guide to OpenAI Codex desktop app's multitasking workflow, covering iOS development, web deployment, design integration, video production, investor decks, and social media automation.
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Tutorials·3 min
Deep Dive into ByteDance's Codex Chinese Manual: A Complete Guide Across Ten Chapters
Deep analysis of ByteDance's Codex Chinese manual covering environment setup, MCP workflows, Skills encapsulation, and multi-Agent collaboration across ten chapters for developers.
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Tech Frontiers·3 min
Hermes Agent 0.14.0 Update: Native Windows Support and 180x Performance Boost
Hermes Agent 0.14.0 Foundation Update: local proxy unified auth, 180x browser automation speedup, native Windows support, AI video generation, free DeepSeek V4, and lossless Handoff context switching.
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Product Reviews·3 min
Multica Open-Source Platform: A Self-Hosted Solution for Unified Management of Multiple AI Coding Agents
Deep dive into Multica, an open-source Agent management platform for coordinating Claude Code, Codex, and other AI coding assistants as unified team members with self-hosted deployment.
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Product Reviews·3 min
Local Claude Code Hands-On: How Well Does a Terminal Agent Make PPTs?
Hands-on test of local Claude Code with MiniMax 2.7 for creating pitch deck PPTs, exploring its precise file history rollback mechanism vs. Cursor's rollback pain points.
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Tutorials·2 min
Control Cloud Code via WeChat: Operate Your AI Coding Assistant by Sending Messages from Your Phone
Guide to Cloud Code's WeChat remote control feature using iLink Bot API. Control your AI coding assistant from your phone with text, image, and file support.
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Product Reviews·3 min
OpenCode: A Detailed Guide to the Open-Source Claude Code Alternative with Local Deployment Support
A deep dive into OpenCode, an open-source AI coding assistant supporting local private deployment, multi-model switching, and client-server architecture as a complete Claude Code alternative.
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Tutorials·2 min
Claude Code Reverse-Engineered & Open-Sourced: Local Deployment Guide and Domestic Model Integration
Developers successfully reverse-engineered Claude Code's full source and open-sourced it, supporting local deployment, third-party model integration, and MCP tool invocation.
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Tech Frontiers·3 min
Gemini 3.2 Pro Leaked Tests Disappoint, GPT-5.6 Already in Internal Testing
Gemini 3.2 Pro leaked tests show mediocre results with minor SVG improvements but weak UI. GPT-5.6 enters internal testing while Claude's new preview achieves breakthrough cybersecurity performance.
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Tech Frontiers
Firebase May Update: Comprehensive Upg…
·3 min
Firebase May Update: Comprehensive Upgrades to AI Agent Integration and Security Enhancements
Firebase's May updates at Google I/O cover AI Agent Skills for Android/iOS/Flutter, Google Maps Grounding, hybrid AI inference, Template-Only security mode, and App Check replay protection.
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Tech Frontiers
Firebase May Update: Comprehensive Upg…
·3 min
Firebase May Update: Comprehensive Upgrades to AI Agent Integration and Security Enhancements
Firebase's May updates from Google I/O cover AI Agent Skills for Android/iOS/Flutter, Google Maps Grounding, hybrid AI inference, Template-Only security mode, and App Check replay protection.
Read more →
Tutorials·3 min
Building an AI Agent Mobile App with Zero Code: From Prompt to App Store — A Complete Walkthrough
Learn how to use VibeCodeApp to build a D2C e-commerce AI Agent mobile app with RAG capabilities using natural language prompts — from writing prompts to App Store deployment.
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Tech Frontiers·3 min
GPT 5.5 Instant Deep Dive: How It Tackles AI Hallucinations for Trustworthy Real-World Deployment
Deep dive into GPT 5.5 Instant's core breakthrough: dramatically reducing AI hallucination rates while achieving low latency and high accuracy. Explore real-world applications in legal, medical, and financial sectors.
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Deep Dives·2 min
RAG System End-to-End Breakdown: From Vector Indexing to Production Optimization
A deep dive into the complete RAG pipeline — covering vector embeddings, document chunking, retrieval and reranking, plus three production optimization techniques for building accurate enterprise AI knowledge base applications.
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Tutorials·3 min
Dify Local Deployment Tutorial: Setting Up an AI Development Platform from Scratch with BT Panel + Docker
Step-by-step tutorial on deploying Dify locally using VMware, Ubuntu, BT Panel, and Docker. Covers environment setup, common error fixes, and next steps for building AI apps.
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Tutorials·4 min
Building a WeChat Mini Program with Cursor: A Practical Guide to AI Programming Pitfalls and Technical Decisions
Real-world experience building a WeChat Mini Program with Cursor, covering product design, technical pitfalls, and creative LLM API usage — a practical guide for AI programming beginners.
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Tutorials·3 min
Getting Started with Claude Code: Installation, Configuration, and Practical Tips for a Terminal AI Coding Assistant
A detailed guide to Claude Code's installation, core advantages, and practical workflows. This terminal-native AI coding assistant offers deep codebase understanding, Git integration, and GitHub automation.
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Tutorials·3 min
Getting Started with Claude Code: Installation, Configuration, and Practical Tips for a Terminal AI Coding Assistant
A detailed guide to Claude Code's installation, core advantages, and practical workflows. This terminal-based AI coding assistant offers deep codebase understanding, Git integration, and GitHub automation.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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