Qwen-Drive

An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving.

https://github.com/QwenLM/Qwen-Drive-1.0

numba-metal

An out-of-tree GPU backend that lets you write a constrained subset of Numba-style Python kernels and run them on the GPU of Apple-silicon Macs through Metal.

https://github.com/eviking/numba-metal

Nifty Django Feature: Q() Objects

Part of the Nifty Django features series: Django’s Q() objects allow you to some fancy filtering!

https://www.better-simple.com/django/2026/09/09/nifty-feature-q-objects/

NPC-Forge

NPC-Forge is a framework for building conversational agents that run on the CPU without relying on machine learning or LLMs.

https://github.com/gioblu/NPC-Forge

NetAlertX

Centralized network visibility and continuous asset discovery. Monitor devices, detect change, and stay aware across distributed networks.

https://github.com/netalertx/NetAlertX

Praxist

Autonomous research system for measurable, computer-executable research.

https://github.com/sapientinc/PRAXIST

Plugin Architecture Across Service Boundaries: An API Contract with Pydantic & FastAPI - Pt. 1

This articles shows how to build a service-level plugin architecture with Pydantic and FastAPI. I will be using an API contract package that plugin providers implement and our platform validates the contract during registration.

https://patrickm.de/plugin-architecture-across-service-boundaries-an-api-contract-with-pydantic-fastapi-pt-1/

Pigeon

Delegated authority for AI agents. A Pigeon Pass says what an agent may do.

https://github.com/pigeonlabsHQ/pigeon

guardlist: a list that raises an error when modified during iteration

Python protects dicts and sets from mutation during iteration, but not lists. GuardedList fills that gap with a clear error.

https://pypi.org/project/guardlist/

Cayu

Cayu is a production agent runtime for building and operating AI agents in Python.

https://github.com/cayu-dev/cayu

Playing with a Badgeware Badger

Ben Tasker shares his experience customizing the Badgeware Badger—a Raspberry Pi RP2350-powered e-ink name badge running MicroPython. He details troubleshooting image formatting, color-depth, and font sizing issues to display his custom avatar, a Fediverse social handle, and logo on the device.

https://www.bentasker.co.uk/posts/blog/general/playing-with-an-eink-badge.html

LintLang

LintLang is a Python-based static analyzer that catches ambiguous, conflicting, and error-prone instructions in AI agent prompts, tool descriptions, and configuration files.

https://github.com/hermes-labs-ai/lintlang

k2-fsa / OmniVoice

High-Quality Voice Cloning TTS for 600+ Languages

https://github.com/k2-fsa/OmniVoice

Jitter is the cheapest reliability fix you are not using

Distributed systems synchronise themselves without being told to: every client that retries on a fixed interval, restarts after a deploy, or reconnects after a network blip ends up firing at the same moment as every other client. The resulting spike is a self-inflicted denial of service that no single component is responsible for. Adding randomness to any repeating interval breaks the al...

https://ankit-rana.com/logs/49-jitter-synchronised-clients/

Django: serve the change password well-known URL

Adam Johnson explains how to implement the standard /.well-known/change-password URL redirect in Django using RedirectView, helping password managers direct users to their password change pages. He also covers testing the endpoint, checking for server misconfigurations that could interfere with password managers, and setting the correct autocomplete attributes on password fields.

https://adamj.eu/tech/2026/09/16/django-change-password-url/

Rapidly scaling online storage to serve over 1 billion ChatGPT users

Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.

https://openai.com/index/scaling-storage-one-billion-users-part-one/

Pandas Should Go Extinct

Eddie Atkinson makes the case that many teams move from Pandas to distributed systems too early, when single-machine tools like Polars and DuckDB can handle much larger analytical workloads with significantly better performance and memory efficiency in his benchmarks. He highlights lazy execution, multithreading, streaming, spill-to-disk, and Arrow interoperability as reasons these tools...

https://eddie.codes/posts/pandas-should-go-extinct/