Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static bin…

Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

All my YouTube tutorials

Skills for coding agents

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Learn it. Build it. Ship it for others.

Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automa…

Minimal coding agent written in Rust, optimized for memory footprint and performance

Plan and autonomously build a software task end-to-end. One ready-to-paste /goal, adaptive phase count, memory preload + writeback, 3-strike self-healing recovery. Works on Claude Code and Codex.

Export any Kindle book you own as text, PDF, EPUB, or as a custom, AI-narrated audiobook. 🔥

Export any Kindle book you own as text, PDF, EPUB, or as a custom, AI-narrated audiobook. 🔥

Run Qwen3.5-35B-A3B with llama.cpp and openclaw on NVIDIA DGX Spark (GB10)

Use Nix and NixOS on your DGX Spark!

DGX RHEL SELinux Policies

Complete guide to running Qwen3.5-35B-A3B on NVIDIA DGX Spark (GB10) with vLLM - installation, benchmarks, vision features, and troubleshooting

Helpful Tools for the Nvidia DGX Spark AI Personal Supercomputer

High-performance interactive system monitor for NVIDIA DGX systems — GPU, CPU, memory, disk, network in a beautiful TUI

Qwen3.5-122B-A10B on DGX Spark: 28.3 → 51 tok/s (+80%)

sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems

An optimized setup for running ComfyUI on DGX Spark

A simple dashboard for the DGX Spark.

One-command vLLM installation for NVIDIA DGX Spark with Blackwell GB10 GPUs (sm_121 architecture)

An Enhanced TOP program to monitor your Nvidia DGX SPARK's Hardware

Complete end-to-end setup for maximizing DGX Spark compute for AI Workloads

Setup guide for ML training on NVIDIA DGX Spark (GB10 Blackwell, CUDA 13, aarch64)

Run vLLM on 1-to-N NVIDIA DGX Spark servers (single Spark, 2 via direct cable, or 3+ via switched fabric) to serve or benchmark LLMs

Docker configuration for running VLLM on dual DGX Sparks

DGX Spark hands-on ML training lab — model training, fine-tuning, and deployment pipelines

AI agents running research on single-GPU nanochat training automatically on a single Nvidia DGX Spark