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 ThePopeBot; autonomous agent architecture.
  • WorldofAI — YouTube creator covering AI tools and agentic IDE launches.
  • BMad Code (Brian) — Creator of the BMAD Method; 20-year software vet on agile + AI workflows.
  • Joshua Clarke — Cybersecurity educator; local AI for private security workflows.
  • Global Science Network — YouTube channel on offline AI, hardware NNs, privacy-first computing.
  • Greg Isenberg — Founder/podcaster; startup-ideas community Startup Empire.
  • Ras Mic — Engineer at Tempo; non-technical AI infrastructure explainer.
  • pixegami — Python LLM tutorial creator; RAG, LangChain, pytest patterns.
  • Alex Ziskind — Local LLM benchmarks; vLLM/FP8/Apple Silicon vs Nvidia hardware deep dives.
  • The Cyber Mentor (Heath Adams) — Cybersecurity educator; founder of TCM Security Academy.
  • Tech With Tim — Python + AI tutorials; concrete walkthroughs of fine-tuning, Ollama, Docker Model Runner.
  • Wolfgang’s Channel — Homelab/self-hosting YouTuber; local AI code assistant + power consumption analysis.
  • Simon Høiberg — SaaS founder; bootstrapped portfolio, leaving-the-cloud, AI agent monetization playbooks.
  • Beyond Fireship — Long-form companion channel to Fireship; from-scratch builder tutorials.
  • Zubair Trabzada — No-code AI automation educator; voice agents and n8n workflows.
  • Tin Rovic — No-code AI automation creator; n8n workflow recipes.
  • Nathan Sebhastian — Code with Nathan; practical dev environment + AI coding tutorials.

Organizations

  • Anthropic — US frontier-AI lab; Claude, Claude Code, the MCP standard, the Claude Code architecture leak. PBC structure.
  • OpenAI — US frontier-AI lab; ChatGPT, Codex, the Industrial Policy paper. PBC structure.
  • Google — Big-tech AI org spanning Gemini (frontier), Gemma 4 (open weights), Firebase Studio, Stitch, Vertex AI, plus Waymo/DeepMind.
  • Nous Research — Open-source AI research collective; Hermes Agent + GEPA self-improving loop.
  • LangChain — AI framework vendor (LangChain library, LangGraph, Open-SWE); open-source frameworks + paid LangSmith observability.
  • Lovable — European no-code AI app builder; afternoon-to-prototype tool referenced across multiple wiki sources.

Models

Tracked separately from tools and frameworks so we can follow each model’s progress, capabilities, and best practices over time.

Frontier (closed-weights):

  • 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.
  • MiniMax M2.7 — Closed-source model claiming to outperform Opus 4.6 at 20x lower cost.

Open-weights:

  • 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.
  • Gemma 4 — Google’s open-weights model; 31B ranks #3 globally.
  • Kimi K2 — Moonshot’s open-weights MoE model; 32B active params, ~10× cheaper than Sonnet at output.
  • MiniMax M1 — MiniMax’s open-weights hybrid-attention model; 1M token context, 80K reasoning output.

Tools

  • Augment Agent — Agentic IDE; #1 OSS on SWE-bench Verified at 65.4%; large-codebase indexing.
  • Firebase Studio — Google’s cloud agentic dev environment (rebrand of Project IDX); free tier.
  • GitHub Agent HQ — Microsoft’s evolution of GitHub into a full AI agent orchestration platform.
  • Archon OS — Cole Medin’s open-source command center for AI coding agents; unified knowledge + task layer via MCP.
  • Sim AI — Open-source visual AI agent workflow builder; n8n alternative with 60+ integrations.
  • Supabase — Open-source Postgres + PGVector + auth backend; convergence point for OpenBrain, Archon OS, Sim AI, and AI coding workflows.
  • 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.
  • Open WebUI — Self-hosted ChatGPT-like web interface for local LLMs via Ollama.
  • Docker Model Runner — Local LLM runtime built into Docker Desktop; OCI-packaged models, no CUDA needed.
  • Continue — Open-source VS Code/JetBrains extension; local Copilot replacement via Ollama or any OpenAI-compliant API.
  • n8n — Open-source workflow automation platform; canonical no-code agent runner; convergence point for the wiki’s AI-automation thread.
  • Flowith — Multimodal infinite-canvas execution agent; 10M-token context, 30+ native integrations.
  • Manus — Closed-source viral general AI agent; the original of the open-source openmanus clone.
  • Retell AI — Voice-AI platform for inbound/outbound phone agents; telephony + persona + function calling.
  • Zep — Hosted long-term agent memory as a per-user relational graph; n8n integration.
  • Void IDE — Fully open-source agentic IDE shipped as a full editor; Agent Mode + Gather Mode.

Open-Source Projects

  • llama.cpp — C++ inference engine; the foundation underlying Ollama, AnythingLLM, and most local AI tools.
  • Unsloth — Fast, free fine-tuning library for open-weights LLMs; LoRA + GGUF export pipeline that runs on free Colab T4.
  • Open-SWE — LangChain’s open-source async AI coding agent on LangGraph; self-hostable, bring-your-own-model, free Jules alternative.
  • LangChain (library) — Original Python/JavaScript framework for chaining LLM calls with tools, prompts, retrievers, memory, and document loaders. The first widely-adopted LLM-app framework.
  • LangGraph — Stateful multi-step agent framework from LangChain; agents as directed graphs of nodes and edges; underlies Open-SWE.
  • 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.
  • ThePopeBot — Free open-source OpenClaw alternative; Docker + GitHub Actions + Ollama.
  • DeepCode — Open-source multi-agent coding platform from HKUDS; Paper2Code, Text2Web, Text2Backend.
  • Bjorn — Open-source Raspberry Pi network pentest tool; defensive audit for self-hosted AI infrastructure.
  • vLLM — High-throughput LLM inference engine; saturates Nvidia GPUs with concurrent requests.
  • Cline — Open-source autonomous AI coding agent as a VS Code extension; bring-your-own-model.
  • OpenCode — SST’s open-source terminal AI coder; 75+ providers, parallel agents, themable UI.
  • OpenManus — MetaGPT’s open-source clone of Manus; Python agent loop with no UI.
  • Kimi Coder — Llama Coder fork repointed at Kimi K2; web app for prompt-to-SPA generation.
  • Docmost — Self-hostable collaborative wiki/docs platform; Notion (docs portion) alternative.
  • Plane — Self-hostable open-source project management; Jira/Linear/Notion (PM portion) alternative.
  • Strapi — Self-hostable headless CMS; Contentful/Sanity alternative.
  • NocoDB — Self-hostable no-code database; Airtable alternative.
  • Grafana — Open-source observability/analytics dashboards; PostHog/Amplitude alternative when paired with Postgres.

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.
  • BMAD Method — Agile AI-Driven Development; six AI personas (BA → PM → Architect → PO → SM → Dev).
  • AI Coding Workflow — Cole Medin’s PLANNING.md + TASK.md + global rules + MCP servers pattern.
  • Model Context Protocol (MCP) — Anthropic’s standard for connecting LLMs to tools, services, and data.
  • Meta-Prompting — Wrapping sloppy requests in a structured instruction-set; power steering for GPT-5.
  • Fine-Tuning (LLMs) — LoRA + GGUF + Ollama pipeline for specializing open-weights models on local hardware.
  • FP8 Quantization — Floating-point 8-bit precision; native to Nvidia Blackwell tensor cores; the throughput sweet spot for vLLM.
  • Context Engineering — Karpathy/Lütke’s successor to prompt engineering; curating all the information an LLM needs to plausibly solve a task.
  • Claude Code Sub-Agents — Anthropic’s first-party multi-agent primitive: isolated context, tool whitelists, parallel execution.

Analyses

  • RAG vs Wiki — Comparison of semantic search RAG vs the LLM Wiki approach.
  • SaaS Death Spiral — Why $1T in SaaS market cap evaporated in early 2026; seven AI developments and the per-seat pricing axis.
  • Self-Hostable Alternatives — Running map of commercial dev tools and credible open-source self-hostable replacements captured in this wiki.

Personal Hardware Benchmarks

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.