kubesdk — async-first, fully typed Python SDK for Kubernetes

Open-source Python SDK with fully typed models, async client, and multi-cluster support for Kubernetes automation.

https://github.com/puzl-cloud/kubesdk

FunAudioLLM / CosyVoice

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

https://github.com/FunAudioLLM/CosyVoice

facebookresearch / sam3

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

https://github.com/facebookresearch/sam3

We Got Claude to Fine-Tune an Open Source LLM

We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training scripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.

https://huggingface.co/blog/hf-skills-training

Learn NLP Research: 7 Papers Implemented

This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.

https://www.youtube.com/watch?v=kRv2ElPNAdY

Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex

Extract clean, typed, Pydantic-validated structured data directly from PDFs

https://cocoindex.io/blogs/extraction-dspy

robyn-config — CLI to scaffold production-ready Robyn apps

Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup

https://github.com/Lehsqa/robyn-config

ZHZisZZ / dllm

dLLM: Simple Diffusion Language Modeling

https://github.com/ZHZisZZ/dllm

Syd

Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit, YARA, and more. Built for environments where cloud AI isn't available.

https://gitlab.com/sydsec1/Syd

The Lazy Loading Pattern: How to Make Python Programs Feel Instant

This video provides a deep dive into the Lazy Loading pattern in Python, demonstrating how it immediately improves application responsiveness by delaying initialization until required. It teaches practical techniques for implementation, including using generators, caching, and background preloading to optimize performance, memory, and code design.

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

Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks

The paper introduces a benchmark called SUSVIBES to test whether vibe-coded outputs are safe to deploy in real software projects. It finds that while many AI-generated solutions work functionally, the vast majority are insecure, raising serious concerns for production use.

https://arxiv.org/pdf/2512.03262

qcrawl

Fast async web crawling & scraping framework for Python.

https://github.com/crawlcore/qcrawl

Sloppylint

Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases.

https://github.com/rsionnach/sloppylint

Django: implement HTTP basic authentication

Previously, we covered bearer authentication within HTTP’s general authentication framework. In this post, we’ll implement basic authentication, where the client provides a username and password.

https://adamj.eu/tech/2025/12/08/django-basic-authentication/

Quick Docker Tutorial to Run a Python Script

This tutorial introduces Docker basics for running Python scripts in containers, prioritizing hands-on practice over theory. It covers Docker concepts, CLI commands, image management, bind mounts for scripts, and Dockerfile creation with dependencies like requirements.txt.?

https://en.andros.dev/blog/5d4edfbf/quick-docker-tutorial-to-run-a-python-script/

metacode

The standard language for machine-readable code comments.

https://github.com/pomponchik/metacode