AI For Dev

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AI for Developers — Jesse Freeman’s Second Brain

I’m Jesse Freeman, founder of BFreeLabs, and this is my personal AI research wiki: a living knowledge base focused on AI tools, techniques, and workflows for developers.

I built this after watching Nate Herk’s video on Andrej Karpathy’s LLM Wiki idea — the concept of using an LLM to maintain a structured, interlinked wiki instead of relying on chat history or RAG. Every page here is written and cross-referenced by Claude Code from source material I collect. I add the sources, Claude does the filing.

New content appears as I read, watch, and research. The site updates automatically.

Start here

  • Overview — The big picture: what’s in this wiki and why it exists.
  • LLM Wiki Pattern — How this wiki is built and maintained.
  • RAG vs Wiki — Why a structured wiki beats semantic search for personal knowledge bases.

Browse by category

People

  • Andrej Karpathy — AI researcher, creator of the LLM Wiki pattern and AutoResearch.
  • Nate Herk — YouTube creator who demonstrated the LLM Wiki in practice.
  • Nate B Jones — AI strategy educator; agent primitives, MCP thesis, /loop + OpenBrain.
  • Matthew Berman — AI YouTuber focused on open-source models, local inference, and agent tooling.
  • Tim Carambat — Founder of AnythingLLM; covers local AI inference and TurboQuant.
  • Damian Malliaros — AI creator focused on Claude Code cost optimization and app building.
  • Cole Medin — AI educator; Excalidraw diagrams, RAG analysis, agentic engineering.
  • Nick Saraev — AI educator; AutoResearch methodology for self-improving Claude Code skills.
  • Fireship — Fast-paced developer education YouTube channel.
  • Crosstalk Solutions — Home lab creator; built Project Nomad offline AI server.
  • Dave Swift — AI tools creator focused on audio and local-first applications.
  • Stephen G. Pope — Creator of ThePepeBot; autonomous agent architecture.

Frontier Models

  • ChatGPT — OpenAI’s flagship model; best for ease of use.
  • Claude — Anthropic’s model family; best for work and coding.
  • Gemini — Google’s model; unique video ingestion; best for search and deep research.
  • Grok — xAI’s model; best for real-time Twitter/X research.

Tools

  • Claude Code — Anthropic’s CLI tool, the engine behind this wiki. Now with /loop and a skills ecosystem.
  • Cursor — AI-native code editor; one of the first coding agents.
  • Codex — OpenAI’s coding agent harness.
  • Devin — Cognition’s autonomous software engineering agent.
  • OpenClaw — Fastest-growing open-source agent framework (200k+ stars); security concerns.
  • Google Stitch — Voice-to-UI design tool; exports agent-readable design.md.
  • Remotion — React framework treating video as code; #1 non-corporate Claude Code skill.
  • skills.sh — Open directory for Claude Code agent skills.
  • Obsidian — Markdown note-taking app used as the visual frontend.
  • Obsidian Web Clipper — Browser extension for clipping articles into raw/.
  • Ollama — Local model runner for running open-source LLMs on consumer hardware.
  • OpenRouter — Unified API gateway for hundreds of AI models, including free tiers.
  • Paperclip — Open-source multi-agent orchestration dashboard; MIT licensed.
  • AnythingLLM — All-in-one local AI app for document chat, agents, and automations.
  • MiniMax M2.7 — Closed-source model claiming to outperform Opus 4.6 at 20x lower cost.

Open-Source Projects

  • llama.cpp — C++ inference engine; the foundation underlying Ollama, AnythingLLM, and most local AI tools.
  • Blender MCP — Natural language to 3D via MCP bridge to Blender’s Python API.
  • GStack — YC President Gary Tan’s startup methodology as Claude Code skills.
  • Hermes Agent — Self-improving agent framework with closed learning loop.
  • Superpowers — TDD-enforcing Claude Code plugin; 115k stars.
  • Agency — Role-based agent templates for Claude Code (frontend, backend, security, etc.).
  • Prompt Fu — Unit testing framework for prompts; acquired by OpenAI.
  • Impeccable — Claude Code skill for frontend design; 17 UI commands.
  • Open Viking — File-system agent memory DB with tiered loading.
  • Mirrorish — Multi-agent prediction engine with simulated social network.
  • Heretic — Model guardrail removal via “obliteration” technique.
  • Nano Chat — Full LLM pipeline; train your own model for ~$100.
  • Project Nomad — Offline knowledge server with local AI, maps, and education.
  • VoiceBox — Free local TTS app with voice cloning; open-source ElevenLabs alternative.
  • Attractor — StrongDM’s dark factory agent; three markdown specs = the entire agent.
  • ThePepeBot — Free open-source OpenClaw alternative; Docker + GitHub Actions + Ollama.
  • Gemma 4 — Google’s open-weights model; 31B ranks #3 globally.
  • Llama — Meta’s open-weights model family; pioneered local LLM inference.
  • DeepSeek — Chinese lab open-weights model; stronger than Llama as of 2026.
  • Qwen — Alibaba’s open-weights model family; among the top open-source models.

Concepts

  • LLM Wiki Pattern — Method for building LLM-maintained personal knowledge bases in markdown.
  • Agentic Harness Primitives — 12-primitive framework for production-grade agent systems.
  • Open-Source Model Integration — Running Claude Code with local or third-party models to reduce cost.
  • Multi-Agent Orchestration — Coordinating multiple AI agents with distinct roles toward shared goals.
  • TurboQuant — KV cache optimization enabling 4x more context window on the same consumer hardware.
  • loop — Anthropic’s proactive agent scheduling command for Claude Code.
  • OpenBrain — SQL database + MCP server pattern for persistent agent memory.
  • AutoResearch and Evals — Self-improving methodology with objective metrics and binary evals.
  • Four Prompting Disciplines — Prompt craft → context engineering → intent engineering → specification engineering.
  • Five Levels of AI Coding — L0 spicy autocomplete → L5 dark factory. Dan Shapiro’s framework + StrongDM case study.
  • Frontier Operations — Five persistent skills for working at the expanding AI/human boundary.

Analyses

  • RAG vs Wiki — Comparison of semantic search RAG vs the LLM Wiki approach.

Business

  • AI Automation Workflows — The 5 highest-value AI automations to sell to businesses, plus the clogged pipe sales framework.
  • AI Professional Interface — Replace the broken hiring pipeline with an AI-powered personal interface. Five components, attention economics, bidirectional fit assessment.

Sources

Contribute or build your own

This wiki is open source at github.com/jessefreeman/ai-for-dev. If you spot something wrong or want to improve a page, open a pull request — the site rebuilds automatically as content is added.

Want to build your own? Clone the repo, delete wiki/ and raw/, then follow the instructions in the README to start from scratch with your own content.

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