Basit Mustafa 24601

name	description
orchestrating-swarms	Master multi-agent orchestration using Claude Code's TeammateTool and Task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns.

Claude Code Swarm Orchestration

Master multi-agent orchestration using Claude Code's TeammateTool and Task system.

This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.

Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.

Inferal Workspace Architecture: How We Work at Inferal

(Blog version available at https://inferal.com/blog/workspace-architecture/)

Update: Inferal Workspace is going open source!

Your org's brain that AI can use

This is not our core product. This document describes our internal operating environment - how we run the company. We share it to show the environment you'd join and demonstrate our philosophy in action. For what we're building, see What We're Building below.

❯ cd /data/projects/coding_agent_session_search ❯ cc

▐▛███▜▌ Claude Code v2.0.54 ▝▜█████▛▘ Opus 4.5 · Claude Max ▘▘ ▝▝ /data/projects/coding_agent_session_search

read AGENTS.md and the README and explore the project deeply. Use ultrathink

● I'll start by reading the AGENTS.md and README files, then explore the project structure in depth.

Native Secure Enclave backed ssh keys on MacOS

It turns out that MacOS Tahoe can generate and use secure-enclave backed SSH keys! This replaces projects like https://github.com/maxgoedjen/secretive

There is a shared library /usr/lib/ssh-keychain.dylib that traditionally has been used to add smartcard support to ssh by implementing PKCS11Provider interface. However since recently it also implements SecurityKeyProivder which supports loading keys directly from the secure enclave! SecurityKeyProvider is what is normally used to talk to FIDO2 devices (e.g. libfido2 can be used to talk to your Yubikey). However you can now use it to talk to your Secure Enclave instead!

Bosgame, Peladn, and XPlus use the exact same case just with different branding.
Corsair, Nimo, Linglong, Colorful, MINIX, and SEAVIV are based on the same SIXUNITED XB35-H02/03-BQ case.
GMKtec, FEVM FA-EX9, Bosgame, Peladn, XPlus, Corsair, Nimo, Linglong, Colorful, MINIX, and SEAVIV are based on the same SIXUNITED AXB35 motherboard.

Here are the exact dimensions placed horizontally measured in mm and volume in liters rounded to 2 decimals:

The Death of the User Interface

TL;DR: We're witnessing the end of graphical user interfaces. AI agents like Claude Code are eliminating the need for windows, menus, and clicks, replacing them with natural language. The computer is finally learning to speak human, not the other way around.

🔮 A Personal Revelation

Last week, I realized something profound: I haven't opened Finder in months. Not once.

Designing a PyTorch-Based AI Agent System with Advanced Reasoning and Autonomy

Overview and Goals

We propose an AI agent architecture in PyTorch that integrates state-of-the-art components to meet the following goals: (1) advanced reasoning with transformer models, (2) ingestion of large documents or histories via long context windows, (3) persistent memory without traditional vector-database RAG, (4) tool use for actions (API calls, code execution, etc.) similar to Anthropic’s MCP standard, and (5) declarative, goal-driven behavior with autonomous planning. The system will be compatible with both CPU and GPU environments. Below, we detail recommended models, libraries, and design choices for each aspect, followed by an overall architecture and example implementation steps.

1. Transformer Models for Advanced Reasoning

Model Selection: Use modern transformer-based LLMs known for strong reasoning and multitasking. For example, Meta’s LLaMA 2 (open-source, 7B–70B parameters) or **Mist

	import os
	os.environ['PYTORCH_CUDA_ALLOC_CONF']='expandable_segments:True'

	import soundfile as sf

	from transformers import Qwen3OmniMoeForConditionalGeneration, Qwen3OmniMoeProcessor, BitsAndBytesConfig
	from qwen_omni_utils import process_mm_info
	import torch

	MODEL_PATH = "Qwen/Qwen3-Omni-30B-A3B-Instruct"

	#!/usr/bin/env bun
	"use strict";

	const fs = require("fs");
	const { execSync } = require("child_process");
	const path = require("path");

	// ANSI color constants
	const c = {
	cy: '\033[36m', // cyan