Skill Closet

Can AI actually debug better than experienced developers? We compare Claude Code’s debugging capabilities against traditional printf debugging and IDE breakpoints. Continue reading Debugging with […]

Master Cursor’s .cursorrules file to enforce coding standards, inject context, and teach the AI your project’s unique patterns. Advanced configuration for production teams. Continue reading

Compare DeepSeek R1 performance on RTX 4090 vs Apple M3 Max. See benchmarks, quantization impact, and practical tips for running reasoning models on consumer hardware.

Deploy DeepSeek R1 locally with our step-by-step guide. Learn hardware requirements, Ollama and vLLM setup, quantization options, and performance optimization for consumer GPUs. Continue reading

Master vLLM production deployment with Docker, Kubernetes, and monitoring. Learn PagedAttention optimization, multi-GPU setup, and OpenAI-compatible API configuration. Continue reading vLLM Production Deployment: Complete 2026

Calculate the true cost of self-hosted LLMs vs OpenAI, Anthropic, and other cloud APIs. Includes hardware, electricity, maintenance, and hidden costs comparison. Continue reading Local

Compare Ollama and vLLM performance with real benchmarks. Learn when to use each tool, throughput differences, memory usage, and best use cases for local LLM

Run large language models on 8GB GPUs with quantization, model selection, and optimization techniques. Perfect for RTX 3070, 4060, and older hardware owners. Continue reading

Compare Mac and PC hardware for running local LLMs. See M3 Pro/Max vs RTX 4090/3090 benchmarks, unified memory vs VRAM, and recommendations for every budget.

Compare 4-bit vs 8-bit quantization for local LLMs. See quality benchmarks, speed improvements, and VRAM savings to choose the right quantization for your use case.