#reliability engineering
1091 related articles
Product Reviews·3 min
Claude Code vs Cursor Real-World Comparison: Which Wins on an Elevator Simulator Project?
Real-world comparison of Claude Code and Cursor through an elevator scheduling simulator project — analyzing task planning, architecture understanding, code generation, and delivery quality.
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Product Reviews·2 min
After Cursor's Regional Restrictions, Can Claude Code Be the Best Alternative?
Cursor blocks Chinese users with regional restrictions. This article compares Cursor vs Claude Code, analyzes Claude Code's advantages in coding and debugging, and offers practical solutions to bypass geo-restrictions.
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Tutorials·4 min
Gemini CLI Custom Commands Tutorial: Complete Workflow from Creation to Practice
Complete guide to Gemini CLI custom commands with a UI component generation example. Covers TOML configuration, parameter passing, TDD workflow integration, and best practices for reusable automation.
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Industry Insights·3 min
AI Papers Are Getting Better Than Ever — So Why Are They Becoming Science's Biggest Problem?
AI-generated academic papers have improved dramatically but are causing citation pollution, overwhelming peer review, and eroding knowledge credibility. This article analyzes the impact and explores solutions.
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Deep Dives·3 min
Decoupled DiLoCo Explained: Making Large-Scale GPU Training Resilient to Failures
Deep dive into Decoupled DiLoCo distributed training: how decoupling training units enables fault tolerance, letting large-scale AI training continue through node failures and reducing downtime loss from 100% to 1%.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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Tech Frontiers·3 min
Cline v3.18 Update: Free Gemini CLI Integration + Claude 4 Optimization Explained
Cline v3.18 major update: free Gemini CLI with 1000 daily requests, Claude 4 diff editing success rate up to 84.3%, plus Claude Code support and free Grok 3 access for VS Code AI coding.
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Tutorials·3 min
GEMINI.md Configuration Guide: Customize Your AI Coding Assistant with Three-Level Scoping
Learn how to create and configure GEMINI.md files in Gemini CLI, including /init auto-generation, personal coding preferences, and the project/directory/global three-level scoping mechanism.
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Deep Dives·3 min
How the Single Responsibility Principle Is Revolutionizing Prompt Engineering: A Modular AI Narrative Architecture Explained
Explore how the Singulari-Tea Codex open-source project applies the Single Responsibility Principle (SRP) to Prompt architecture design, building a modular AI narrative system optimized for Gemini 2.5 Pro.
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Product Reviews·3 min
Haiku 4.5 vs GPT-5 Mini vs GLM-4.6: Real-World Benchmark of Budget Coding Models
In-depth comparison of Claude Haiku 4.5, GPT-5 Mini, and GLM-4.6 across speed, cost, code quality, concurrency safety, and tool calling to help developers choose the right budget AI coding model.
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Product Reviews·3 min
Trae 2.0 SOLO Mode In-Depth Review: Full Workflow from Natural Language to Website Deployment
In-depth review of ByteDance's Trae 2.0 SOLO mode: from natural language requirements to one-click website deployment. Covers memory, self-repair upgrades, and impact on Manus and Genspark.
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Tech Frontiers·2 min
Claude Haiku 4.5 Released: Double the Speed at One-Third the Price, Setting a New Cost-Efficiency Benchmark for AI Coding
Anthropic releases Claude Haiku 4.5, a distilled version of Sonnet 4.5 with near-flagship coding performance, double the speed, and one-third the cost. Scores 73.3 on SWE-Bench, ideal for developers seeking cost-efficiency.
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Tutorials·3 min
Conversation as Development: Rapidly Building an EHS Safety Management Platform with AI Agents
Learn how AI application generation Agents use natural language to rapidly build a complete EHS safety management platform with nine core modules, compressing development from months to hours.
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Tech Frontiers·4 min
IBM Think 2025 Deep Dive: Rising Hallucination Rates in Reasoning Models and OpenAI's Acquisition of Windsurf
Deep dive into IBM Think 2025's Generative Computing and Granite 4, why reasoning model hallucination rates are rising, and OpenAI's $3B Windsurf acquisition strategy.
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Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
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Tech Frontiers·4 min
Cognition's Acquisition of Windsurf: The Capital Power Play Behind a Weekend Lightning Deal
Cognition acquires Windsurf's core assets at lightning speed, gaining $82M ARR and hundreds of thousands of DAU. A deep dive into the OpenAI, Google, and Anthropic power plays reshaping the AI coding tool market.
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Product Reviews·4 min
Dyson Find+Follow Air Purifier Fan Review: AI Camera Tracks People's Positions for Precision Airflow
Dyson launches the Find+Follow Purifier Cool bladeless fan with an AI camera for real-time person tracking and directional airflow. We explore its core technology, privacy considerations, and the proactive sensing trend in smart homes.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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