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Tutorials, product updates, and ideas to help you build and ship AI applications faster.

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What Is an AI Agent Harness? The Scaffolding Explained

Agent harnesses turn raw LLMs into capable agents. Here's how the scaffolding evolved from GPT-2's simple loop to self-improving systems.

agent harnessAI scaffoldingcontext engineering

GPT-6 Astra: What Long-Running Agentic AI Actually Changes

A hands-on look at OpenAI's GPT-6 Astra and its long-running agentic abilities, tested against a real household move task.

GPT-6 AstraOpenAI Astraagentic AI

How to Turn GPT-6 Astra Into a 24/7 Stock Trading Bot

A practical guide to setting up GPT-6 Astra with the Alpaca API and scheduled tasks to research, watch, and trade stocks automatically.

GPT-6 Astra tradingAlpaca APIAI stock trading bot

Hi-4 Preview Hands-On: Coding, 3D Games, and Document Audits

Hands-on tests of Tencent's Hi-4 Preview model tackling a platformer, a 3D racing game, and a 24-claim expense audit in one shot.

Hi-4 preview demoWorkBuddy AIAI coding test

The Manager Loop: How to Supervise AI Agents on Multi-Day Projects

The manager loop technique lets one agent interview you, then delegate work to execution agents. Here's how to structure it for complex tasks.

manager loopagent supervisionAI agent management

MiniCPM5-2B: Does the 2B "SOTA" Claim Survive Real Testing?

MiniCPM5-2B claims 2B-class open-source SOTA, beating 4B models too. We check its benchmark comparisons against hands-on coding, reasoning, and language tests.

MiniCPM5-2B benchmarkMiniCPM5 SOTAOpenBMB MiniCPM5

MiniCPM5-2B GGUF: How Does It Hold Up Locally?

Hands-on test of MiniCPM5-2B GGUF quantization with llama.cpp, checking reasoning, coding, and multilingual accuracy versus full precision.

MiniCPM5-2B GGUFMiniCPM5 quantizedrun MiniCPM5 locally

MiniCPM5-2B: Running OpenBMB's 2B On-Device Model Locally

MiniCPM5-2B packs 2.5B params, 131K context, and 4B-beating benchmarks. Here's how it works and how to run it via GGUF, MLX, or GPTQ.

MiniCPM5-2Bon-device LLMGGUF quantization

Omacom Foundation Funding: Who Backs Omarchy and How Much

The nonprofit behind DHH's Omarchy Linux has raised roughly $15.5M. Here's the full patron list, what AI labs contributed, and what the foundation actually controls.

Omacom FoundationOmarchy fundingOmarchy foundation patrons

Omarchy's Agent Usage Panel: Tracking Claude Code Limits and Token Spend

Omarchy puts your coding agent's plan usage in the top bar — limits consumed, prepaid balance, and tokens by day and model. Here's what it shows and how to refresh it.

Omarchy usage panelClaude Code usage limitsClaude Code token usage

How to Use Omarchy's Crash Diagnosis to Debug Segfaults With an AI Agent

Omarchy watches systemd-coredump and hands crash dumps to your coding agent. Here's how the handoff works, the commands behind it, and how to mute noisy apps.

Omarchy crash diagnosisomarchy agent crashsystemd-coredump

How to Set Claude Code as Your Default Agent in Omarchy 4

Omarchy ships ten coding agents pre-wired. Here are the exact commands to make Claude Code the system default, plus the keybindings and inline shortcuts.

Omarchy default agentClaude Code Omarchyomarchy default agent claude

How to Share One Skills Folder Across Claude Code, Codex, and Gemini

Omarchy symlinks a single skills directory into every agent's config path. Here's how the pattern works and how to set it up yourself on macOS or any Linux distro.

Claude Code skills foldershare skills across agentsagent skills symlink

Prime Agent: The Self-Improving Harness Behind a 95% ARC-AGI Score

Prime Agent pushed ARC-AGI scores past 95% using a self-improving harness, not a new model. Here's how that architecture works.

Prime Agentself-improving harnessARC-AGI benchmark

Qwen3-8-27B at 11.8GB: Do GSQ and RCO Quantization Actually Hold Up?

ISTA's Das Lab shrank Qwen3.8-27B to 11.8GB with new GSQ and RCO quantization. Here's what that means and how it performs locally via llama.cpp.

Qwen3.8-27B quantizedGSQ RCO quantizationrun Qwen3.8-27B locally

How to Run MiniCPM5-2B Locally with SGLang or llama.cpp

A practical guide to running MiniCPM5-2B locally with SGLang, covering VRAM needs, KV cache tuning, and real-world test results.

run MiniCPM5-2B locallyMiniCPM5 SGLangMiniCPM5 VRAM requirements

Tencent Hunyuan Hi-4 Preview: Specs, Benchmarks, and Pricing

Tencent's Hunyuan Hi-4 Preview is a 770B MoE model with a 1M context window and the cheapest API pricing among open-weight flagships.

Hunyuan Hi-4Tencent AI modelopen weight MoE

What Are GSQ and RCO? Das Lab's New LLM Quantization Method

GSQ and RCO are new compression techniques from ISTA's Das Lab that shrink LLMs per-weight while targeting an exact size with minimal accuracy loss.

GSQ quantization explainedRCO Riemannian optimizationDas Lab GPTQ

What Is Omarchy? DHH's Agentic Linux Distro Explained

Omarchy is an Arch-based Linux distro from Rails creator DHH that ships ten AI coding agents pre-wired. Here's what it includes, what it costs, and who it's for.

OmarchyOmarchy LinuxDHH Linux distro

Is WorkBuddy Free? How to Try Hi-4 Preview at No Cost

WorkBuddy offers Tencent's Hi-4 Preview model free for two weeks. Here's how the trial works and what the API costs elsewhere.

WorkBuddy pricingHi-4 preview freeWorkBuddy AI app

Goal Alignment vs Value Alignment: How AI Labs Keep Models Safe

What goal alignment and value alignment mean in AI safety, why chain-of-thought monitoring can fail, and what OpenAI's chief scientist says about it.

goal alignmentvalue alignmentAI safety

How to Build an AI Second Brain OS With GPT-6 Astra and Codex

A practical guide to building a personal AI operating system with Codex, agents.md files, and a four-part framework for context and connections.

AI second brainAI operating systemagents.md

DeepSeek V4 Flash on 4x RTX Pro 6000: What the Benchmarks Actually Need

A look at what it takes to benchmark DeepSeek V4 Flash across four RTX Pro 6000 GPUs, and why the hardware behind the numbers matters as much as the tokens.

DeepSeek V4 Flash benchmarkRTX Pro 6000 tokens per secondmulti-GPU LLM inference

GPT-6 Astra Explained: OpenAI's Long-Running Autonomous Super Agent

GPT-6 Astra runs for days without prompts, picks its own tools, and finishes open-ended tasks. Here's what that means for how you work.

GPT-6 AstraOpenAI super agentautonomous AI agent