#system design fundamentals
390 related articles
·3 min
SlopCodeBench: Why AI Code Benchmarks Are Failing
SlopCodeBench sparks deep reflection on AI code evaluation. From benchmark contamination to pass-rate pitfalls, exploring why current benchmarks fail to measure real code quality.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
Learn AI Agent core principles from scratch: understand how Agents differ from LLMs, their execution mechanisms, why rule design matters, and find the right learning path for your goals.
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·3 min
The Circular Investment Concerns Behind NVIDIA's $750 Billion in Deals
Deep analysis of circular financing in NVIDIA's $750B partnership deals, examining real AI compute demand, self-reinforcing valuations, and key investor signals.
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·2 min
Codex Beginner's Guide: Understanding the Difference Between OpenAI's Coding Agent and ChatGPT
A detailed guide to OpenAI Codex coding agent: understand how it differs from ChatGPT, how AI agents autonomously generate, debug, and test code, and why developers need to learn this new paradigm.
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·2 min
Interview Prep Strategy for Senior Data Scientists: How to Prepare Efficiently Without Burning Out
Senior data scientist interviews are broad and multi-round. Learn an efficient evergreen fundamentals + targeted sprint strategy covering ML, SQL, system design, and mindset tips.
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·4 min
AI Agent Development in Practice: A Complete Path from Zero to Production
A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.
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·5 min
The Complete Guide to AI Agent Development: A Four-Stage Progressive Roadmap
A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.
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·4 min
Building a $5,000 Home Solar System: Budget Breakdown, DIY Process & Payback Analysis
A detailed guide to building a home solar power and storage system for under $5,000, covering PV panel and LiFePO4 battery selection, budget allocation, DIY installation risks, and 5-6 year payback analysis.
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·2 min
Codex Beginner's Guide: Understanding the Difference Between OpenAI's Coding Agent and ChatGPT
A detailed guide to OpenAI's Codex coding agent: understand what it is, how it differs from ChatGPT, and why developers should master AI coding agents now.
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·3 min
Getting Started with Codex: The Right Way to Use AI Coding Agents
A detailed comparison of OpenAI Codex and Claude Code with hands-on testing. From AI agent concepts to account setup, helping developers quickly master AI coding agents.
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·3 min
Building a YOLO26 Inference Engine from Scratch in ARM64 Assembly: A Deep Dive into Low-Level Optimization
Deep dive into building a YOLO26n object detection inference engine from scratch using ARM64 assembly and C, covering NEON SIMD, Winograd convolution, GEMM micro-kernels, and cache tiling optimizations.
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·3 min
Learning to Code in the AI Era: The Worst and Best of Times
AI coding tools are reshaping software development. Is learning to code still worthwhile? This article analyzes the challenges and opportunities of learning programming in the AI era.
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·3 min
Sebastian Lague's Custom Graphics Library: A Complete Breakdown of Building a Renderer from Scratch
Deep dive into Sebastian Lague's experiment building a graphics library from scratch, covering rasterization, depth buffering, texture mapping, and the educational value of software renderers.
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·4 min
GenAI Job Interview Gone Wrong: Interviewer Googles Gemini for Questions on the Spot — What's Broken in AI Hiring?
A fresh grad interviewing for a GenAI Trainer role faced prime number coding and activation function questions while the interviewer used Gemini to generate questions live — exposing AI hiring chaos.
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·3 min
Better Tools Actually Made Copilot Code Review Worse? GitHub's Counterintuitive Optimization
GitHub found that giving Copilot more specialized tools actually degraded code review quality. By migrating to Unix-style composable tools and evidence-driven workflows, they cut costs and improved results.
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·5 min
30+ Free AI & Machine Learning Classic Textbooks: All in One GitHub Repository
Awesome Free AI Books is an open-source repo with 30+ legally free AI & ML classic textbooks covering deep learning, reinforcement learning, NLP, LLMs, and more — all linking to official sources with weekly automated link checks.
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·5 min
From Chat to Agent: Automating Your Entire Business Workflow with AI Agents
Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.
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·3 min
A Practical Guide for Java Developers Transitioning to AI Application Development
Facing the AI wave, how can Java developers transition from traditional CRUD backend work to AI application development? This article breaks down the AI+ national strategy, China's AI catch-up logic, and offers a practical path.
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·3 min
Getting Started with AI Agent Development: A Learning Path from Zero to Deployment
A systematic guide to the complete learning path for AI Agent development—covering prompt engineering, RAG knowledge bases, LangChain & LangGraph, fine-tuning, and multi-agent collaboration.
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·2 min
Getting Started with AI Agent Development: A Complete Guide from Zero to Real-World Projects
A beginner-friendly guide to AI Agent development, covering the full learning path from LLM basics, prompt engineering, and RAG to LangChain and multi-agent collaboration.
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