Research // Lab
In-depth analysis on artificial intelligence, advanced tech, and emerging technology.
Qwen 3.8-27B on Four 3090s: What a Local Frontier Actually Looks Like
We run Qwen 3.8-27B in BF16 on 4×RTX 3090s. What changed over 3.6, how it stacks against Muse Glimmer-30B, GLM 5 and Gemma 4 31B, and where frontier models still win — with benchmarks and footage.
Microsoft's AI Agent Stack: VS Code, Copilot, and Azure Foundry
How Microsoft connects local development, cloud agents, and enterprise AI infrastructure into one unified stack for scaling autonomous software engineering at scale.
NVIDIA AVO Hits 100% on ARC-AGI-3: System Design Beats Raw Model Power
A coding agent built for GPU kernel optimization just scored perfect on an interactive reasoning benchmark it was never designed for — revealing that agent architecture is the real frontier multiplier.
LLM Harness Engineering: Policy Layers Between IDEs and AI Models
How to enforce control over AI agents in your IDE — preventing destructive tool calls, gating commits to main, and building a policy layer between your developer harness and LLM providers.
Harness Engineering: The Discipline That Makes AI Agents Reliable
Why 2026 is the year the industry realized the agent isn't the hard part — the harness is. OpenAI's 1M LOC experiment, the emerging discipline, books, research, and what it means for building production AI systems.
AI Code Review Research Collection: Enterprise Guide to Automating Code Quality
A curated research collection for enterprise engineers exploring how AI and LLMs are transforming code review — academic papers, industry deployments, tools, and proven strategies.
NVIDIA NOOA — Object-Oriented AI Agents with Persistent State and Lifecycle
NVIDIA introduces NOOA, a framework that applies object-oriented programming to AI agents — persistent state, instantiation, modification, and deletion for long-horizon multi-agent systems.
Handbook — Living Documentation for AI Code Agents
A three-phase pipeline that turns any codebase into structured, auto-synchronized documentation — cutting agent tool calls by 56% and scope bloat by 52%.
Structuring Agentic Workflows — Packaging, Documentation, and Team Onboarding
How to structure, package, document, and visualize AI agent workflows for team reuse — from AGENTS.md to SKILL.md, Mermaid diagrams, and VS Code integration.
The .NET/C# Ecosystem for Distributed Systems: A Brownfield Manager's Reference
System-level reference for engineers managing large brownfield C#/.NET distributed applications — covering language features, runtime capabilities, framework primitives, and AI-assisted modernization strategies.
Inkling by Thinking Machines: 975B Open-Weight Multimodal Model
Mira Murati's Thinking Machines releases Inkling — a 975B-parameter MoE with native text, image, and audio reasoning. Apache 2.0 licensed, controllable thinking effort, and designed as a fine-tuning starting point.
DGX Spark vs AMD Strix Halo: The $2,700 Question
6x faster prefill, identical generation speed. A hands-on benchmark reveals most people are about to overpay by $2,700.
Spec-Driven Development & Multi-Level Requirements: The Complete Guide
How product, project, and subsystem requirements are being transformed by spec-first workflows — and the tools making traceability possible at enterprise scale.
Quantization-Aware Training: How QAT Recovers Lost Accuracy in 4-Bit LLMs
From PyTorch's 96% accuracy recovery to Google's 3GB Gemma models — QAT is the new standard for deploying quantized LLMs without sacrificing quality.
AI Coding Dictionary
69 terms that define the vocabulary of agentic coding, in plain English. The complete reference for newcomers.
Spec-Driven Development: A Gentle Introduction for AI-Assisted Engineers
What if your specifications generated code instead of guiding it? A practical guide to SDD and GitHub's Spec Kit for engineers who use AI as a coding assistant.
Loop Engineering: The Complete Landscape — Who's Building What in 2026
The map of loop engineering: key voices, 10 design patterns, tooling landscape, and where the field is heading. From ReAct to recursive self-improvement.
The New SDLC: From Vibe Coding to Agentic Engineering
How AI is transforming the software development lifecycle — from casual vibe coding to disciplined agentic engineering. Context engineering, the 80% problem, and what comes next.
Thinking to Recall: How Reasoning Unlocks Hidden Knowledge in LLMs
Google Research reveals two mechanisms — computational buffer and factual priming — that explain why reasoning helps LLMs recall simple facts they otherwise can't access.
Liquid AI LFM2.5-230M: The 230M-Parameter Model Built to Run Anywhere
Liquid AI releases LFM2.5-230M — their smallest model yet at just 230M parameters. 213 tok/s on a Galaxy S25 Ultra, 42 tok/s on a Raspberry Pi 5. Runs on-device as a humanoid robot control interface.
OpenAI's Jalapeño: First Custom Inference Chip with Broadcom
OpenAI enters the silicon game — a purpose-built LLM inference ASIC cutting costs by ~50%. Built in just 9 months using OpenAI's own AI models.
Qwen-AgentWorld: Language World Models for General Agents
Qwen releases the first native language world model — simulating agent environments across 7 domains, outperforming GPT-5.4 on AgentWorldBench. Two paradigms for building better agents.
The AI PhD Job Search: What Nobody Tells You
57 interviews across 11 companies — a candid look at what the industry job search actually looks like for AI/ML PhD graduates.
Hugging Face Spaces: The Complete Guide to AI Demos and Apps
From Gradio prototypes to GPU-accelerated production demos — how Hugging Face Spaces democratized AI model hosting, and how we plan to showcase our IconShop SVG generator on it.
How to Publish Your First Model to Hugging Face
Step-by-step guide to publishing your first trained model — from weights to model card to reproducibility, using our IconShop SVG model as a real-world example.
GitHub Spec Kit — Spec-Driven Development for AI Agents
How structured specifications, constitutional principles, and 30+ AI agent integrations are replacing vibe coding with deterministic development workflows.
Training Our First SVG Icon Generation Model
A hands-on journey: learning LLM engineering by training a model to generate SVG icons. From Raschka's book to a 2-day GPU training run — what worked, what didn't, and what we learned.
Gemma 4: What Fits on Your GPU
Five open models, from 8GB edge GPUs to 24GB workstations. The #3 open model at 31B, but which flavour matches your budget? Complete benchmarks and hardware guide.
SEO Rank Tracking Tools 2026: The Agency's Guide
A comprehensive comparison of SEO rank tracking tools for agencies in 2026 — AccuRanker, SE Ranking, Nightwatch, Ahrefs, Semrush, DataForSEO, and more. Pricing, features, and honest recommendations for tracking multiple clients.
Scaling a Solo Marketing Agency: From 1 to 1,000,000 Clients in the Age of AI
A comprehensive research report exploring how a solo founder can scale a marketing agency from one client to 1,000,000 using AI, automation, and hyper-optimized workflows. Every magnitude. Every bottleneck. Every tool.
LLM Gateway Competitive Landscape 2026: Testing as the New Moat
A comprehensive competitive analysis of the LLM gateway market — LiteLLM, Portkey, Helicone, OpenRouter, Cloudflare, and Bifrost. Discover why testing is the new competitive moat and how private test suites create defensible IP.
Local Coding Agent: Building a Claude Code Killer That Runs Entirely on Your Hardware
A deep dive into local-coding-agent — a fully local, provider-agnostic coding agent with 719 tests, 29+ components, multi-agent orchestration, MCP support, RAG, and browser automation. Built to rival Claude Code without cloud dependency.
Replacing OpenSearch on Edge Devices
A comparative analysis of OpenSearch alternatives for embedded edge devices used for log ingestion, remote debugging, and light edge analytics — with resource consumption as the primary constraint.
Multi-Token Prediction: The Innovation Making llama.cpp Up to 3× Faster
Meta AI's MTP paper trains LLMs to predict multiple tokens at once — not one. The result: 250% faster inference, better code generation, and no extra compute cost. Now merged into llama.cpp.
llama.cpp: The Deep Dive — Architecture, MTP, Compilation, and the Competitive Landscape
A comprehensive deep dive into llama.cpp: its architecture, GGUF format, how to compile with multi-token prediction support, and a thorough comparison with every major competitor inference engine.
Qwen3.6 vs. Gemma 4: Choosing Between MoE Efficiency and Dense Multimodal
In early 2026, two open-weight model families offered different paths for local AI: Qwen3.6's MoE efficiency (35B with only 3B activated per token) and Google's Gemma 4's unified multimodal family from edge devices to workstations. Which architecture fits your deployment?
The NVIDIA CUDA Toolkit — What It Is, What It Does, and Why You Absolutely Need It for GPU Workloads
What is CUDA, what does the CUDA Toolkit actually include, and why is it required for every GPU-based AI workload? A technical breakdown of the software stack that powers NVIDIA GPU compute, from local LLM inference to production serving.
NVLink for 4× RTX 3090 — What It Actually Does for Your Rig
A technical deep-dive on NVIDIA NVLink, its bandwidth and topology, and what benefits — and limitations — it brings to a 4× RTX 3090 multi-GPU rig for LLM inference, training, and distributed computing.
DFlash: Block Diffusion for Flash Speculative Decoding
z-lab's DFlash replaces autoregressive drafting with block diffusion — achieving 6x speedup and beating EAGLE-3 by 2.5x. Full technical deep dive and local deployment guide.
Building a $10k EPYC Multi-GPU Workstation: Complete Replication Guide
Complete build guide for an AMD EPYC 9374FM-based dual RTX 3090 workstation — component list, PCIe lane math, benchmarks, cost breakdown, and community replication instructions.
Qwen 3.6: The Open-Local Agentic Coding King
Qwen 3.6 just dropped April 2026 — 35B-A3B MoE + 27B dense models open-sourced for local agentic coding. MLX, Ollama, and llama.cpp setup guide.
Dell Pro Max GB300: The $100K Desk Supercomputer That Can Run DeepSeek
748GB unified memory, 252GB HBM3e, 20 petaFLOPS FP4. We map exactly which LLMs fit, at what precision, and how fast — from Phi-4 all the way to DeepSeek-V3.
OpenAI GPT-OSS: The Complete Guide
OpenAI's first open-weight GPT-class models since GPT-2. A complete guide to gpt-oss-120b and gpt-oss-20b: MoE architecture, MXFP4 quantization, hardware requirements, benchmarks, and who each model is actually for.
How GPUs Actually Work: A Deep Dive for AI Engineers
From CUDA cores to tensor cores to memory bandwidth — understand the hardware that powers every LLM. Why memory bandwidth bottlenecks inference, how warps hide latency, and how to choose your GPU for local AI.
Local AI Hardware: What You Actually Need to Get Started
From zero to running LLMs locally — the honest gear guide for beginners. What GPU to buy, how much RAM you need, why VRAM is everything, and the exact builds that deliver the best bang for your buck in 2026.
TurboQuant: Redefining AI Efficiency with Extreme Compression
Google Research's TurboQuant achieves 6x KV cache compression and 8x speedup with zero accuracy loss — a deep dive into how PolarQuant and QJL make extreme compression possible.
CLI vs MCP vs Code Mode: The Benchmark That Changes the Debate
We benchmarked 12 real Stripe tasks across CLI tools, raw MCP, and Code Mode MCP using Claude Sonnet 4.6. Code Mode is 56% cheaper and uses 58% fewer tokens. Here's the architecture that explains why.
Apple M5 Max vs NVIDIA DGX Spark: The Local AI Benchmark Showdown
Two machines, two philosophies, one question: which is the better local AI workstation for serious inference? We benchmark M5 Max and DGX Spark on Llama 3.1 70B, Qwen3 72B, and DeepSeek V3 MoE.
16 Techniques for Real-Time AI Systems Optimization
From speculative decoding to continuous batching — the complete engineering playbook for low-latency, high-throughput LLM serving. All 16 techniques with benchmarks and practical implementation guidance.
xurl: The X API CLI That Powers AI Agent Pipelines
The complete guide to xurl — the official X API CLI from X's developer platform. Installation, authentication setup, core usage, and how it compares to TwitterAPI.io, Xpoz, Apify, and other alternatives when the official API is too expensive.
DeerFlow: ByteDance's Open-Source AI Employee That Runs Locally
The Chinese SuperAgent that researches, codes, builds websites, and generates videos — 100% on your own hardware. DeerFlow 2.0 by ByteDance is a full multi-agent harness with sandboxed execution and local model routing.
Build Your Local AI Stack from Scratch
The complete recipe: hardware, inference engines, agent frameworks, models, TTS/STT, and coding tools for a fully self-hosted AI workstation.
The Transformer Architecture: A Complete Technical Breakdown
From tokenization to multi-head attention — how transformers actually work under the hood. A complete technical breakdown of the architecture powering every modern LLM.
NVIDIA OpenShell: The Safe Runtime for Autonomous AI Agents
A deep technical investigation into NVIDIA OpenShell — the open-source sandboxed runtime for autonomous AI agents. Architecture, policy engine, privacy router, GPU passthrough, and why out-of-process enforcement changes everything.
Stop Using llama.cpp on Multi-GPU Rigs: Inference Engines Are Not Equal
llama.cpp doesn't support tensor parallelism and never will. Here's why it's the wrong tool for multi-GPU inference — and what to use instead.
Ditching GitHub: The Best Minimal Git Server for Local AI Agent Setups
Running AI agents on an isolated local network? Here's exactly which git server to run, how to set it up, and why simpler beats feature-rich every time.
Running Qwen3.5-35B on a 4× RTX 3090 Rig: GGUF vs vLLM, PCIe Topology, and the Hybrid Parallelism Strategy
Complete guide to running Qwen3.5-35B-A3B on a mixed PCIe slot 4× RTX 3090 rig — which quantization to use, when vLLM beats Ollama, and how to handle asymmetric PCIe lanes with hybrid parallelism.
Upgrading a 4× RTX 3090 Inference Rig: What Actually Bottlenecks You and What to Do About It
A deep technical dive into what limits inference speed on a 4× RTX 3090 rig — NVLink topology, memory bandwidth, PCIe limits, and every upgrade path ranked by ROI.
Apple Silicon MLX & LLM Inference: The Complete Guide
Deep dive into Apple's MLX framework, unified memory architecture, and how it compares to Ollama, llama.cpp, and vllm-mlx for local LLM inference on Mac Studio.
GGUF vs MLX: A Deep Dive Into LLM Model Formats
The quantization math, format internals, performance tradeoffs, and community ecosystem — everything you need to decide which format to use on Apple Silicon.
Claude Certified Architect: The Complete Study Guide
Everything you need to pass the CCA Foundations exam: all 5 domains, 30 task statements, 12 sample questions with explanations, and Anthropic's $100M partner network bet.
Hermes Agent Deep Dive: The Self-Improving AI Agent That Actually Remembers
A deep technical look at Hermes Agent by Nous Research — the learning loop, skills system, Honcho user modeling, execution backends, and how it stacks against OpenClaw, ElizaOS, LangGraph, CrewAI, and AutoGen.
How LLMs Actually Communicate: Tokens, Tool Calls, and Agent Loops
A deep technical guide to how LLMs generate tokens, why 'tool calling' is a polite fiction, and how agent loops like ReAct turn a single-shot model into something that reasons across time.
Voice-First AI Agent Control via Telegram: OpenClaw vs. The Field
A ruthlessly practical evaluation of every tool that lets you command AI agents by voice via Telegram — from OpenClaw to n8n to ElizaOS. Scored on 8 criteria that actually matter.
KV Cache in Local AI: Why Your Agentic Setup is 90% Slower Than It Should Be
A deep dive into KV cache mechanics, why agentic systems are especially vulnerable to cache invalidation, the Claude Code 90% slowdown bug, and how to fix it.
Mixture-of-Experts: The Architecture Behind the Local AI Renaissance
How MoE separates parameter count from compute cost, enabling 35B models to run at 90 tok/sec on a gaming GPU. Deep dive into routing, sparsity, DeepSeek, and Qwen3.5.
New Models: March 5–12, 2026
The week's notable model releases: Qwen3.5 family, GLM-4.7, uncensored GGUFs, and Unsloth TTS fine-tuning. What shipped, what matters, what to watch.
Tensors Explained: From Arrays to KV Cache
A software engineer's guide to tensors — what they are, how they flow through transformers, and why Key-Value tensors are the single most important concept in LLM inference performance.
Hermes Agent: The AI Agent That Grows With You
Nous Research's open-source agent that gets smarter over time — closed learning loop, Skill Documents, 6 execution backends, Telegram/Discord gateway. The most serious open-source attempt at persistent agent memory.
Scalable MoE Training: Inside NVIDIA's Megatron-Core Technical Report
88 pages of NVIDIA systems engineering for MoE training. Deep dive into the Three Walls (memory, communication, compute), Parallel Folding, FP8/NVFP4, and 1,233 TFLOPS/GPU on DeepSeek-V3.
AG-UI: The Open Protocol Bringing Agents into Your UI
Deep technical dive into AG-UI, the event-based protocol by CopilotKit that standardizes how AI agents connect to user-facing applications. Covers event model, generative UI patterns, MCP Apps integration, and the emerging framework ecosystem.
Qwen3-Coder 480B: Inside Alibaba's Agentic Coding Model
Deep dive into Qwen3-Coder-480B-A35B — architecture, RL training stack, SWE-bench results, Qwen Code CLI, deployment, and the Coder-Next successor.
vLLM: The Production LLM Inference Engine
The complete technical reference on vLLM — UC Berkeley's high-throughput inference engine. PagedAttention, continuous batching, v0.17.0 FlashAttention 4, Model Runner V2, and a full comparison against TensorRT-LLM, Ollama, llama.cpp, TGI, and DeepSpeed.
opencode-coding-agent-guide
A deep technical investigation into OpenCode — the 112K-star open-source coding agent. Architecture, benchmarks, provider-agnostic model support, the Anthropic block, and who should use it.
Running TTS Locally — How We Ditched OpenAI's Voice API for a GPU Rig
How we replaced OpenAI's paid TTS API with Kokoro TTS running locally on a 4x RTX 3090 GPU rig. Complete setup guide with code examples, cost analysis, and real-world results.
946+ Agentic Skills for Claude Code, Cursor & More: The Antigravity Collection
Antigravity Awesome Skills is a curated collection of 946+ battle-tested agentic skills for Claude Code, Gemini CLI, Codex CLI, Cursor, GitHub Copilot, Kiro IDE, and more. Install in one command.
LLMfit: 206 Models, One Command to Find What Runs on Your Hardware
Complete guide to LLMfit — the Rust-based terminal tool that right-sizes LLM models to your system's RAM, CPU, and GPU. 206 models, 57 providers, multi-dimensional scoring, Ollama integration.
NVIDIA SLM Agents: Why Small Language Models Are the Future of Agentic AI
Deep dive into NVIDIA's position paper arguing small language models (SLMs) are the future of agentic AI. 10-30x cheaper, faster, and more reliable than LLMs for agent tasks. Includes the LLM-to-SLM conversion algorithm, Nemotron Nano benchmarks, and practical implementation guide.
OpenClaw + Codex/Claude Code Agent Swarm: The One-Person Dev Team
How solo developers are using OpenClaw as an orchestration layer to spawn Claude Code and Codex sub-agents, forming complete AI dev teams. Full setup guide with real-world patterns from Elvis Sun's viral workflow.
llama.cpp — What It Is, What It Does, and Who's Competing With It
A comprehensive guide to llama.cpp — the open-source C/C++ library that democratized local LLM inference. Origin story, GGUF format, quantization, the Hugging Face acquisition, ecosystem tools, and every competitor worth knowing.
AI Model Quantization: The Complete Guide
Everything you need to know about quantization for local AI inference. FP32, FP16, INT8, INT4, GGUF, GPTQ, AWQ explained — with real benchmarks and a practical guide for your RTX 3090.
VL-JEPA: The End of LLMs or the Beginning of World Models?
Deep dive into Meta and Yann LeCun's VL-JEPA — a vision-language architecture that predicts meaning instead of tokens. What it means for AI assistants, reasoning, hallucinations, and the future of world models.
Mac Studio M3 Ultra vs DIY GPU Rig
Head-to-head comparison: Apple's Mac Studio M3 Ultra ($4,000-$6,000) vs DIY multi-GPU rig ($3,600-$4,500) for running local LLMs. Real benchmarks, cost analysis, and clear recommendations.
OpenClaw Model Routing Guide: Which AI Model for Which Task
A practical guide to choosing the right AI model for every OpenClaw task. Copy-paste configs for budget, balanced, and power setups — save 50-80% on LLM costs.
Vector Embeddings: Local vs Cloud — A Complete Guide to Generating Embeddings Without OpenAI
A practical guide to generating vector embeddings locally or via cloud APIs. Compare OpenAI, Cohere, Voyage AI against free local models like nomic-embed-text, BGE, and all-MiniLM. MTEB benchmarks, code examples, migration guide.
NVIDIA DGX Spark: The Complete Guide
Deep dive into the NVIDIA DGX Spark — GB10 Grace Blackwell specs, real-world benchmarks, energy costs, software stack, competitors, and whether it delivers on the promise of a personal AI supercomputer.
Building an AI Agent Knowledge Base: MCP + RAG + Vector DB for Extended Local Memory
A practical guide to building a local knowledge retrieval system that gives AI agents persistent, searchable memory — using MCP, RAG, and vector databases.
Build Your Own GPU Rig for $5,000
The complete, clickable shopping list for building an extendable multi-GPU rig for AI inference, training, and rendering — every component links to Amazon. Start with 4 GPUs, expand to 8 without replacing anything.
Budget vs Pro Tier GPU Rig — Which Build Is Right for You?
Side-by-side comparison of our $3,500 budget GPU rig vs $4,300 pro tier server-grade build. PCIe bandwidth, IPMI, 10GbE, ECC RAM, upgrade paths — pick the right foundation for your AI workloads.
DIY GPU Rig vs Off-the-Shelf — What Does $4,500 Get You?
Our DIY Pro Tier build delivers 4× RTX 3090 (96GB VRAM) for ~$4,500. Can you buy comparable AI performance off-the-shelf? Mac Studio, Jetson, HP, Dell, Puget — the honest comparison.
Pro Tier GPU Rig for AI — The Server-Grade Build
The server-grade GPU rig: ASRock Rack ROMED8-2T, AMD EPYC, PCIe 4.0, IPMI, dual 10GbE, ECC RAM — every component with buy links. The upgrade from our $5K budget build.
How to Connect & Run Multiple GPUs Together
The definitive guide to multi-GPU setups — NVLink, PCIe risers, open-air frames, server motherboards, power & cooling, plus software like vLLM, DeepSpeed, and Exo. Build tiers from $1,500 to $15,000+.
The Complete Guide to OpenClaw Skills
Everything you need to know about OpenClaw Skills — what they are, how they work, the ClawHub marketplace, top skills available today, installation, and building your own.
OpenRouter: The Unified LLM API Gateway for AI Agents
A comprehensive guide to OpenRouter — the unified API gateway for 400+ LLMs. Learn how it works, pricing, features, and how to integrate it with OpenClaw agents for model switching, cost optimization, and redundancy.
AI Slide & Visual Generation Tools for Automated Presentations
A practical guide to programmatic slide generation, AI visuals, and video pipelines — every tool an AI agent can actually call via API, CLI, or SDK.
Building a Local LLM Powerhouse
The complete guide to building a local AI rig — RTX 6000/5090/4090 deep dive, Apple Silicon, AMD alternatives, VRAM requirements by model size, three build tiers, software stack, and pre-built options.
OpenClaw Architecture Deep Dive
The definitive technical reference for OpenClaw's architecture — how the Gateway orchestrates sessions, cron jobs, sub-agents, heartbeats, memory, and channel integrations. Includes actionable patterns for reliable cron job design.
Cloudflare Markdown for Agents: Making Your Website Agent-First (80% Token Savings)
Comprehensive guide to Cloudflare's revolutionary Markdown for Agents feature launched Feb 2026. Learn how to implement agent-friendly responses with 80% token savings, SEO implications, and practical code examples.
Axios: How a Newsletter Killed Politico's Business Model and Built a $525M News Empire With B2B SaaS
Axios went from a newsletter side-project to a $525M Cox Enterprises acquisition in six years. This research examines their smart brevity format, B2B SaaS pivot, and how they are monetizing motorsports.
What Can You Run on a Mac Studio M3 Ultra? OpenClaw Cost Savings Guide
A practical guide mapping which AI models fit on the Mac Studio M3 Ultra (192GB unified memory, 819 GB/s bandwidth), real performance benchmarks, and how to use it with OpenClaw to slash API costs by running models locally.
NVLink for RTX 3090: The Honest Truth About Multi-GPU AI Inference
Deep dive analysis of NVLink benefits and limitations for RTX 3090 multi-GPU AI inference setups. Is NVLink worth it for consumer GPUs?
Obsidian + Claude Code: How to Build an AI-Powered Life System
Complete guide to combining Obsidian's local-first note-taking with Claude Code's AI agent capabilities. Build a second brain that actually thinks with you — daily notes, task management, knowledge graphs, and automated workflows.