Jev and AI Decision Models: A Practical Getting Started Guide— @dylan >>
Learn what Jev and AI decision models do, compare hosted and local alternatives, and build your first workflow with practical examples and research resources.
15 posts
Learn what Jev and AI decision models do, compare hosted and local alternatives, and build your first workflow with practical examples and research resources.
Copy Mermaid timeline examples for roadmaps, releases, milestones and incidents. Learn sections, event syntax, ordering, label fixes and when to use Gantt.
A comprehensive guide to maximizing LLM inference performance on Apple Silicon — MLX vs llama.cpp benchmarks, quantization formats, RAM requirements, MoE models, speculative decoding, KV cache optimization, and the best models for every Mac configuration.
A complete guide to building Andrej Karpathy's LLM Wiki — the AI-maintained knowledge base pattern that replaces RAG with structured markdown. Covers the three-layer architecture, setup with Claude Code + Obsidian, ingest/query/lint workflows, and community implementations.
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 compatibility, open-weight models, and the builders behind the ecosystem.
Master Mermaid diagram syntax for flowcharts, sequence diagrams, and more. Copy-paste examples, theming, and AI generation tips in one guide.
A comprehensive guide to 5 strategies for integrating Obsidian with Claude Code — vault organization, symlinks, MCP bridges, recommended plugins, and community best practices.
Part 2 of the CLI tools series — 10 more terminal tools to supercharge your AI coding workflow, plus resources for discovering new packages across Homebrew, NPM, and Rust crates.
A complete guide to installing and using Pixelmuse CLI for AI image generation from the terminal — from setup and authentication to prompt templates, MCP server integration, and Claude Code skills.
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 symbolic links (symlinks) — what they are, how they work, the ln -s command, common gotchas like the trailing slash trap, and real-world use cases for dotfiles, Obsidian vaults, and dev workflows on macOS and Linux.
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.