#engineering methodology
1197 related articles
Product Reviews·4 min
Kimi OK Computer Hands-On Review: In-Depth Evaluation of AI Agent Performance Across Four Scenarios
In-depth hands-on review of Kimi's AI Agent 'OK Computer' across website building, data analysis, audio picture books, and PPT creation. Can an agent with 20+ built-in tools truly do your work?
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Tech Frontiers·2 min
OpenClaw's Six Rename History: Tracing an Open Source Project's Naming Evolution Through Git Commit Records
OpenClaw went through six renames from Warelay to its final name. Simon Willison used a Python script to reconstruct this complete naming evolution from Git commit history.
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Tutorials·2 min
OpenClaw Multi-Agent Development in Practice: A Complete Guide to Building Multi-Agent Applications from Scratch
A hands-on tutorial for multi-Agent development with the OpenClaw framework, covering framework selection, Agent creation, tool invocation, LLM configuration, orchestration, and deployment.
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Product Reviews·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources covering multimodal generation, AI Agents, MCP protocol, model training/inference, o1 models, and SLMs—a community-verified 8200+ Star LLM learning resource hub.
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Product Reviews·4 min
Cube Studio Deep Dive: Tencent's Open-Source One-Stop MLOps Platform
Deep dive into Cube Studio, Tencent Music's open-source one-stop AI platform, covering architecture design, distributed training, large model fine-tuning and inference, and domestic chip adaptation.
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Tutorials·4 min
Shopify Agent Cold Start in Practice: A Three-Step Method for Training Production-Grade AI with Zero Conversation Data
Shopify's production AI Agent cold start approach: zero real conversation data, reverse-engineering training samples from existing business workflows, fine-tuning Qwen-32B for 2.2x speed gain and 60% cost reduction.
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Research·4 min
Skills-Oriented Programming: Domain Knowledge Engineering for Efficient Code Generation by Code Agents
Alibaba Mama's Skills-Oriented Programming methodology uses three-layer Skill structures, progressive disclosure, and four-layer anti-corruption systems to achieve 90%+ code generation accuracy for Code Agents in complex enterprise codebases.
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Product Reviews·4 min
Get Shit Done: Full Breakdown of the 60K-Star Claude Code Meta-Prompting & Spec-Driven Development System
Deep dive into Get Shit Done (GSD), a 62K-star GitHub project built for Claude Code. Covers meta-prompting, context engineering & spec-driven development.
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Product Reviews·3 min
gstack Explained: A Complete Breakdown of Garry Tan's 23 Open-Source Claude Code Tools
YC CEO Garry Tan open-sourced gstack, a Claude Code toolset with 23 role-based AI tools covering CEO, Designer, Engineering Manager, QA and more. 97K+ GitHub stars. Full breakdown inside.
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Tech Frontiers·4 min
130K Stars! CLAUDE.md Distilling Karpathy's Insights Takes GitHub by Storm
GitHub project andrej-karpathy-skills earned 130K Stars with a single CLAUDE.md file, converting Karpathy's LLM coding pitfall insights into AI behavioral guidelines for Claude Code.
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Tutorials·3 min
Codex Installation & Setup Guide: From Subscription to Installation to Real-World Use
Step-by-step guide to installing and configuring OpenAI Codex CLI, covering ChatGPT Plus subscription options, macOS installation, credit management, and real-world project testing.
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Tutorials·4 min
Manus AI Tutorial: The Three-Layer Expression Method to Triple Your Efficiency (With 19 Real-World Scenarios)
A detailed guide to Manus AI Agent's core capabilities and usage techniques, using the Three-Layer Expression Method to issue precise instructions across 19 real-world scenarios including workplace reporting, data analysis, and side income.
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Tutorials·3 min
Gemini 3.1 Pro + Claude Opus 4.6: The Ultimate AI Coding Combo — A Practical Guide
How to combine Gemini 3.1 Pro and Claude Opus 4.6 for AI programming: Opus handles architecture planning, Gemini executes code generation, building a Minecraft clone for free in Anti-Gravity IDE.
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Product Reviews·4 min
Trae Solo vs Cursor Real-World Comparison: Which AI Coding Tool Builds a Better Student Management System?
Real-world comparison of Trae Solo vs Cursor building a Python Flask student management system, testing architecture design, code generation speed, runtime results, and practical recommendations.
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Tutorials·3 min
Andrew Ng's 2026 New Course: 4 Core Techniques to Go from AI Prompting Beginner to Expert
Andrew Ng's 2026 AI prompting course: master 4 core principles from context-giving and deep thinking to overcoming sycophancy and iterative workflows.
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Tutorials·3 min
Claude Code Skill in Practice: Building a Standardized Code Explanation Workflow
Learn how to use Claude Code's Skill mechanism to standardize code explanation workflows with a four-step method: analogy, flowchart, breakdown, and pitfall reminders.
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Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
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Product Reviews·3 min
Cursor vs Claude Code In-Depth Comparison: Real-World Testing Across 5 Dimensions
In-depth comparison of Cursor vs Claude Code across speed, programming proficiency, usability, IDE features, and use cases with real engineering tests. Final result: 2-2 tie with detailed pros/cons.
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Product Reviews·3 min
Google AI Studio Annotate App Explained: The New Vibe Coding Approach Where You Draw to Modify Code
Deep dive into Google AI Studio's exclusive Annotate App feature — draw and annotate directly on your frontend to modify code. Covers usage methods, three-phase dev strategy, and comparisons with Cursor AI and Claude Code.
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Product Reviews·3 min
Claude Code vs Gemini vs Cursor: A Real-World Android Native Development Comparison
Real-world comparison of Claude Code, Gemini, and Cursor for Android native development—testing engineering capabilities, UI fidelity, and feature implementation.
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