#engineering judgment
1615 related articles
Deep Dives·3 min
ReAct Pattern and Transformer Architecture Explained: High-Frequency AI Interview Topics for Frontend Developers
Deep dive into Agent core logic ReAct (Reasoning + Acting) execution flow, Transformer self-attention mechanism, and essential AI skills for frontend developers including prompt engineering, RAG, and Agent development.
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Deep Dives·3 min
Two Root Causes of Agent Context Rot: Distraction vs. Poisoning Explained
AI Agent getting dumber over time? Context Rot has two root causes: Distraction (attention dilution) and Poisoning (causal chain contamination). Learn symptoms, mechanisms, and remediation strategies.
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Tutorials·3 min
DIY Bluetooth Clicker + Voice-Controlled Vibe Coding: A Hands-Free Voice Programming Setup
DIY a voice programming remote with a Bluetooth clicker and wireless mic. Combine Doubao voice input, TMUX multi-window management, and Claude Code for a hands-free Vibe Coding workflow.
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Tech Frontiers·2 min
Andrew Ng Partners with Google to Launch Gemini CLI Course: A Practical Guide to AI Coding Assistants
Andrew Ng partners with Google on a free Gemini CLI course covering installation, MCP automation, and agentic coding workflows using a real AI conference planning scenario.
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Expert Opinions·3 min
From WeChat Codex to AI Agent Best Practices: A Developer's Pivot
After completing core WeChat-Codex integration, the Codex Bridge author validated three directions and pivoted to AI Agent best practices—sharing product thinking and methodology insights.
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Tutorials·4 min
Complete Guide to Creating Ant Civilization Videos with AI: Free Tools for Millions of Views
Complete guide to creating viral ant civilization videos using Google AI Studio and Flow for free, covering story writing, AI image generation, animation, and editing for YouTube monetization.
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Tech Frontiers·3 min
Major Cursor Agent Update: AI Coding Assistant Now Tests Its Own Code and Records Video Proof
Cursor's coding Agent gains computer use capabilities, automatically launching browsers to test code and recording work videos for review. See how this reshapes code review workflows.
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Tutorials·4 min
Avoiding Pitfalls in Agent Skill Maintenance: A Practical Guide to Defending Against Perplexity's "Action at a Distance" and Building Evaluation Systems
Deep dive into Perplexity's "Action at a Distance" risk in Agent Skill maintenance, covering precise fixes for three failure types, the Gotcha flywheel, and a four-layer evaluation system.
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Tutorials·4 min
UpCtl Technical Deep Dive: How Tmux + SSH Powers AI Agent Automated Deployment
Deep dive into UpCtl's technical implementation: Tmux Session management for stable AI Agent operation, SSH tunneling for hybrid cloud deployment, four-level knowledge base replacing vector database RAG, and Ticket workflows for automated dev-test-deploy pipelines.
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Tutorials·4 min
Vibe Coding Practical Guide: SDD (Specification-Driven Development) Reshaping Full-Stack Programming Workflows
In-depth analysis of SDD (Specification-Driven Development), the core methodology of Vibe Coding in 2025, covering the full workflow from requirements to deployment with tools like Claude Code.
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Product Reviews·3 min
Claude Haiku 4.5 Review: Sonnet 4-Level Coding at 1% of the Cost
In-depth review of Claude Haiku 4.5: 73.3% on SWE-bench rivaling Sonnet 4, input at just $1/million tokens. Covers code generation, agentic coding, SVG tests, and Sonnet+Haiku collaboration strategies.
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Tech Frontiers·2 min
Closing Arguments in Musk v. Altman: Lawyer's Repeated Blunders — What Happened in This Courtroom Clash
Musk v. Altman enters closing arguments as Musk's lawyer Steven Molo stumbles with slip-ups and contradictions. A detailed look at what happened and what it means for AI.
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Expert Opinions·2 min
AI Coding Agents End Programming Language Lock-In: Code Migration Enters the Reversible Era
AI coding agents are reshaping the economics of software rewrites. Real migration cases reveal how language lock-in is breaking down, turning tech choices into reversible decisions.
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Tutorials·3 min
51.8K Stars! Claude Code Best Practices: A Complete Guide from Getting Started to Agent Engineering
Deep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
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Deep Dives·3 min
D2C Design-to-Code Full Pipeline Explained: The New Design-Development Paradigm That Top Tech Companies Ask About in Interviews
A deep dive into D2C (Design to Code) technology, comparing it with traditional development and Vibe Coding, covering Figma AI implementation, three-level interview questions, and enterprise architecture design.
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Tutorials·4 min
Java Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
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Deep Dives·4 min
Claude Code Auto Mode Fully Explained: Classifier Mechanism, Fault Tolerance Design & Security Protection
Deep dive into Claude Code Auto Mode: how the independent Classifier reviews AI operations, three-level graceful degradation prevents system deadlocks, SubAgent triple review with Prompt Injection protection, plus setup and plan requirements.
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Tutorials·4 min
Complete Guide to Agent Observability: Tracing, Evaluation, and Red Teaming in Practice
Deep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
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Industry Insights·4 min
The Dismantling of Windsurf: How an AI Coding Unicorn's Moat Collapsed Overnight
AI coding unicorn Windsurf, valued at $3B, was dismantled in one week — OpenAI deal collapsed, Google aquihired the team, Cognition grabbed the remains. A deep dive into AI startup moat fragility.
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Tutorials·4 min
STM32 Smart Car Development: Where Does AI-Assisted Programming Hit Its Limits?
A deep dive into an STM32F103C8T6 HAL library AI smart car course, exploring AI's real capabilities and three key limitations in embedded development, and the best practices for human-AI collaboration.
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