12 posts
A practical guide to decoding LLM model names — what B, IT, GGUF, Q4_K_M, MoE, and every other suffix means. Includes comparison tables, links to the best research resources, and real examples from Gemma 4, Qwen 3.5, and Llama 4.
A comprehensive comparison of 30+ tools for tracking AI token usage across Claude Code, Codex CLI, Cursor, Gemini CLI, and more — from lightweight CLI utilities to enterprise observability platforms.
A comprehensive guide to running LLMs locally — comparing 10 inference tools, quantization formats, hardware at every budget, and the builders empowering developers with open-weight models.
A complete pricing comparison of every Apple Silicon Mac Mini — new vs used — with LLM capability breakdowns by RAM tier. Plus a full guide to running OpenClaw as a local AI agent on your Mac Mini with zero cloud costs.
A complete guide to Yazi — the async, Rust-powered terminal file manager with image previews, Lua plugins, and vim-style keybindings. Covers installation, commands, plugins, and practical workflows for development, Linux administration, and AI-assisted coding.
A complete guide to installing and using 10 terminal tools that pair perfectly with AI coding agents like Claude Code — from LazyGit for reviewing AI-generated diffs to Zoxide for lightning-fast directory navigation.
How real teams use Claude Code at scale: case studies from incident.io, Nx, Anthropic, Every, Y Combinator startups, Treasure Data, and best practices for parallel agents, git worktrees, and verification loops.
Complete guide to LLMs.txt files: Learn what llms.txt is, how it helps AI understand your website, and step-by-step instructions for creating and implementing llms.txt files to optimize your site for AI-powered search and content discovery.
Master prompt engineering for GPT-4o, Claude, and Gemini — system prompts, chain-of-thought reasoning, few-shot examples, function calling, structured outputs, and testing strategies.
Learn how embeddings, vector databases, and RAG architecture work together to build AI systems with custom knowledge — with working code examples using OpenAI, pgvector, and the Vercel AI SDK.
Understand transformer architecture from self-attention to modern LLMs — covering GPT-4o, Claude, Gemini, Llama 3, Mistral, multimodal models, and practical guidance on which model to use for which task.
Master Midjourney v6+ with current parameters, prompt structure, style references (--sref), character references (--cref), model options, and real prompt examples for consistent, high-quality AI artwork.
