source&pool
A daily wire of long-form journalism, video, and discourse — filed, tagged, and laid out flat.
VOL. I·NO. 01
SUNDAY, SEPTEMBER 20, 2026
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  1. 001Hacker NewsSEP · 20English

    Enjambre – a durable kernel for swarms of AI agents (Python, MCP)

    Enjambre is a Python-based operating system for coordinating swarms of AI agents, providing kernel, queue, permission gates, and shared memory. It solves common multi-agent failures like resource deadlocks and broken task chains through mechanisms like leases, routers, and hot-reloaded policies.

    By Santibccc-Sudo
  2. 002Hacker NewsSEP · 18English

    Using steal time to moderate CPU demands

    A patch series from Shrikanth Hegde proposes using steal time metrics to help virtual machines voluntarily reduce CPU demands during contention. The mechanism maintains a preferred CPU set that shrinks when steal time exceeds thresholds, concentrating workloads on fewer CPUs to mitigate performance degradation from lock contention and preemption.

    By Jonathan Corbet August
  3. 003Hacker NewsSEP · 15English

    LLM continuous batching host scheduler in Rust (191k tok/s on 1 vCPU)

    A high-performance LLM serving scheduler written in Rust achieves 191k tokens/second on a single vCPU using continuous batching, paged KV cache allocation, and lock-free scheduling. The repository includes formal SMT Z3 mathematical verification, an independent anti-cheat auditor, and a reproducible benchmark harness under strict hardware isolation.

    By Bmartin-Systems
  4. 004Hacker NewsSEP · 14English

    SmarterPlaylists by the Numbers – A Decade in Review

    SmarterPlaylists, a visual programming tool for creating custom Spotify playlists, ran for a decade as a side project launched July 25, 2015, accumulating 262,000 logged-in users who created 278,600 programs and executed them over 9 million times. The service demonstrated strong organic adoption driven by word-of-mouth, with a scheduler feature enabling over 50,000 automated playlist updates still active at shutdown, and a power-law user distribution where the top 0.2% of users were prolific creators.

    By rdmuser