Contents

OpenViking: Systematic Context Management for AI Agents

Learn how OpenViking applies file-system paradigm to unify agent context management, reducing token costs by 91% while improving task completion.

GraphRAG & Knowledge Graphs: Overcoming RAG Limitations

Master GraphRAG in 30 minutes: Understand how knowledge graphs overcome RAG limitations and build semantic search with Neo4j and LangChain.

Optimizing LLMs for Private AI: Distillation and Quantization

Master model distillation and quantization techniques to optimize open-source LLMs for private AI deployment with practical memory calculations and real-world strategies.

Why Single-Threaded Redis Handles Hundreds of Thousands of QPS

Why Redis's single-threaded architecture achieves extreme performance through in-memory design, I/O multiplexing, and optimized data structures.

AI as Operating System: Designing AI-Native Organizations

YC partner Diana Hu reveals how fast-growing startups embed AI as their operating system through closed-loop workflows, enabling small teams to achieve outcomes that used to require entire departments.

Building High-Quality UI Prototypes with Claude Design Systems

Maximize Claude Design performance with design systems, then build interactive prototypes using PRD-based workflow and Claude Code integration

GitFlow vs Trunk-based: Branching Strategies for Team Collaboration

Compare two Git branching strategies for multi-developer teams—GitFlow for stability and Trunk-based for speed—with criteria to choose the right approach.

/goal Feature in Claude Code: Mastering RAFL Loop

Learn how Claude Code's /goal feature automates goal completion through RAFL Loop, from theory to implementation.

AI Output Evolution: Embracing HTML Over Markdown

Why AI should shift from Markdown to HTML: exploring the five advantages and practical applications of HTML as the new standard for AI-generated content.

DOCX is ZIP: Understanding Office File Structure and Automation

Office files are ZIP archives containing XML data, enabling code-based document automation and manipulation.

OpenCode: Open-Source AI Coding Agent Supporting Any LLM Model

Learn OpenCode, an open-source CLI coding agent supporting any LLM, and extend it with Oh-My-OpenCode orchestration plugin

LoRA Fine-Tuning: Efficient Model Adaptation with Low-Rank Matrices

Master LoRA: update just 0.1–1% of parameters via low-rank matrices to efficiently fine-tune large language models without full retraining.

GEO in the AI Era: Optimizing Content for Generative Search

Learn GEO (Generative Engine Optimization) strategies to get your content cited in AI-generated search responses from ChatGPT and Perplexity in the evolving search landscape.

Complete MCP Guide: From Concepts to Custom Implementation

Master connecting LLMs with external tools: understand MCP fundamentals, integrate existing protocols, and build custom MCP servers with FastMCP

Harness Engineering: Mastering AI Agent Control and Reliability

Learn Harness Engineering: how to structurally prevent AI agents from repeating mistakes through CLAUDE.md, automated enforcement, and garbage collection

Understanding the Observer Pattern

A design pattern that automatically notifies multiple observers when a subject's state changes

The 4 Principles of Effective AI Collaboration: Behind GitHub's 100k-Star CLAUDE.md

How a simple 65-line CLAUDE.md guide transformed AI code generation: four principles to make AI assistants work precisely as intended

Replace Boolean Flags with the Policy Pattern in Python

Learn to replace boolean flags and growing conditionals with composable policy objects for cleaner, scalable Python code

Harness Engineering | Building Autonomous AI Systems with Constrained Boundaries

Learn to build autonomous AI systems through the evolution from prompt to harness engineering using OpenAI's 5-month project case study, enabling AI to self-manage planning, implementation, testing, and debugging within constrained boundaries.

Modulo Bias in Game Probability Systems

Modulo bias in C's rand() function distorts game drop rates, causing probability calculation errors.

FastAPI Dependency Injection — making it usable

Why FastAPI's Depends is not just import-replacement, and patterns for handling async/session/auth in one flow.