Asyncio Finally Got Peewee

Charles Leifer introduces an asyncio compatibility layer for the Peewee ORM that uses greenlet to bridge synchronous database logic with asynchronous event loops without requiring a full codebase rewrite. This implementation allows developers to run standard Peewee queries and transactions within async contexts by using a task-local state management system and specific execution helpers ...

https://charlesleifer.com/blog/asyncio-finally-got-peewee/

ruvnet / wifi-densepose

Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers

https://github.com/ruvnet/wifi-densepose

webctl

Browser automation for AI agents and humans, built on the command line.

https://github.com/cosinusalpha/webctl

dj-celery-panel

Your Celery task inspector inside the Django admin.

https://github.com/yassi/dj-celery-panel

AutoMem

AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory.

https://github.com/verygoodplugins/automem

Django Time-Based Lookups: A Performance Trap

The article shows how certain Django time-based field lookups can bypass database indexes and turn a simple filter into a full table scan, dramatically slowing queries. It then demonstrates a much faster pattern by computing time boundaries in Python so the database can use the existing index and drop execution time from tens of seconds to under a second.

https://johnnymetz.com/posts/django-time-based-lookups-performance/

MimicKit

A lightweight suite of motion imitation methods for training controllers.

https://github.com/xbpeng/MimicKit

openai / skills

Skills Catalog for Codex

https://github.com/openai/skills

Speeding up Pillow's open and save

The author benchmarks and improves Pillow’s image open/save performance by avoiding unnecessary plugin imports and using lazy loading, leading to large speed gains in Python. Results show opening PNG images can be around 2.6 times faster and WebP up to 14 times faster, with similar improvements in saving images, and the changes are included in upcoming Pillow releases.

https://hugovk.dev/blog/2026/faster-pillow/

Vision-Agents

Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.

https://github.com/GetStream/Vision-Agents

Let's Build Pipeline Parallelism from Scratch

The tutorial walks through building pipeline parallelism from the ground up, explaining how to split large AI models and training workloads across multiple GPUs to improve training efficiency. It breaks down concepts with step-by-step examples so developers can understand how data and compute are partitioned and coordinated in a distributed training system.

https://www.youtube.com/watch?v=D5F8kp_azzw

I created a game engine for Django?

The author built a multiplayer Snake game in the browser using only Python and Django LiveView, with no custom JavaScript, by keeping game state on the server and broadcasting rendered HTML over WebSockets.

https://en.andros.dev/blog/6e9e4485/i-created-a-game-engine-for-django/

Microcode

Microcode is an efficient terminal-based AI agent with an internal REPL environment for coding assistance. It leverages Reasoning Language Models (RLMs) to help developers with coding tasks directly from the command line.

https://github.com/modaic-ai/microcode

Prototyping a Live Product Recommender With Python

The article shows how to build a real-time product recommender prototype in Python using Contextual Multi-Armed Bandits to simulate user behavior and validate online learning algorithms like LinUCB. It explains why bandits handle cold-start and context better than traditional models, walks through data generation, feature engineering, offline evaluation, and sets up a live simulation as ...

https://jaehyeon.me/blog/2026-01-29-prototype-recommender-with-python/