This piece provides a guide to building a Retrieval-Augmented Generation (RAG) system using Anthropic's Claude, PostgreSQL, and Python on AWS. The tutorial walks through setting up the necessary PostgreSQL extensions and using Amazon Bedrock to create an application that generates more accurate AI responses.

https://www.tigerdata.com/blog/building-a-rag-system-with-claude-postgresql-python-on-aws

Agent S: an open agentic framework that uses computers like a human

https://github.com/simular-ai/Agent-S

Lightweight Pandas monkey-patch that adds async support to map, apply, applymap, aggregate, and transform, enabling seamless handling of async functions with controlled max_parallel execution.

https://github.com/telekinesis-inc/aiopandas

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

https://github.com/PrunaAI/pruna

A simple tool that let's you explore different possible paths that an LLM might sample.

https://github.com/willkurt/token-explorer

2X faster ASGI web framework for python, offering high-level development, low-level performance.

https://github.com/raceychan/lihil

Official PyTorch implementation of TokenSet.

https://github.com/Gengzigang/TokenSet

This piece introduces Unvibe, a Python library that uses unit tests as a reward function to guide Large Language Models in generating correct code. The author, Claudio Santini, explains that this approach works well for generating complex code within large, existing codebases, provided they are well-tested.
https://claudio.uk/posts/unvibe-a-python-test-runner-that-generates-correct-implementations.html

FastOpenAPI is a library for generating and integrating OpenAPI schemas using Pydantic v2 and various frameworks (AioHttp, Falcon, Flask, Quart, Sanic, Starlette, Tornado).

https://github.com/mr-fatalyst/fastopenapi

Dan LaManna's latest post reflects on a long-standing architectural issue within the Django framework that has recently been addressed. The author celebrates the solution, marking a significant improvement for the popular web framework.
https://danlamanna.com/posts/rest-in-peace-djangos-framework-problem/

Wan: Open and Advanced Large-Scale Video Generative Models

https://github.com/Wan-Video/Wan2.1

This article from Pybites offers a practical look at using the uv tool to streamline Python package development and testing. It walks through the setup and commands needed to integrate this fast new tool into your workflow.
https://pybit.es/articles/developing-and-testing-python-packages-with-uv/

The Textualize blogpost delves into the specific algorithms that enable high-performance applications to run smoothly within the terminal. It explains the technical challenges and clever solutions required for building responsive TUIs.
https://textual.textualize.io/blog/2024/12/12/algorithms-for-high-performance-terminal-apps/