pytest daemon: 10X Local Test Iteration Speed

At Discord, their Python test suite suffered from slow local test runs, taking 13 seconds per test. They built a pytest daemon that improves local test iteration speed by 10x, significantly reducing development time. This solution involves offloading heavy work to a background process and caching results, bypassing slow imports and fixtures.

https://discord.com/blog/pytest-daemon-10x-local-test-iteration-speed

coffee

Build and iterate on your UI 10x faster with AI - right from your own IDE.

https://github.com/Coframe/coffee

µHTTP

µHTTP emerged from the need of a simple web framework. It's great for micro-services, single page applications, AND monolithic monsters.

https://github.com/0x67757300/uHTTP

Django: Sanitize incoming HTML fragments with nh3

Let’s look at how to use nh3 for HTML sanitisation in Django forms. You can adapt this approach to other situations, such as in DRF serializers.

https://adamj.eu/tech/2023/12/13/django-sanitize-incoming-html-nh3/

imoneoi / openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

https://github.com/imoneoi/openchat

LouisShark / chatgpt_system_prompt

collect agent's system prompt and share some prompt inject knowledge

https://github.com/LouisShark/chatgpt_system_prompt

llmware-ai / llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

https://github.com/llmware-ai/llmware

PurpleLlama

Set of tools to assess and improve LLM security.

https://github.com/facebookresearch/PurpleLlama

Cyclopts

Intuitive, easy CLIs based on python type hints.

https://github.com/BrianPugh/cyclopts

Annotated At Runtime

PEP 593 is a bit vague on how you’re supposed to actually consume arguments to Annotated; here is my proposal.

https://blog.glyph.im/2023/12/annotated-at-runtime.html

Netchecks

Netchecks is a set of tools for testing network conditions and asserting that they are as expected.

https://github.com/hardbyte/netchecks

NVIDIA / Megatron-LM

Ongoing research training transformer models at scale

https://github.com/NVIDIA/Megatron-LM

Python in Visual Studio Code – December 2023 Release

This release includes the following announcements:

https://devblogs.microsoft.com/python/python-in-visual-studio-code-december-2023-release/

LLMCompiler

An LLM Compiler for Parallel Function Calling.

https://github.com/SqueezeAILab/LLMCompiler

How many CPU cores can you actually use in parallel?

Figuring out how much parallelism your program can use is surprisingly tricky.

https://pythonspeed.com/articles/cpu-thread-pool-size/

feud

Build powerful CLIs with simple idiomatic Python, driven by type hints.

https://github.com/eonu/feud/

Building a personal predictive text engine

This post discusses the development of a personal predictive text engine called AutoWrite, which takes into account words already written in a document to provide context-specific autocompletions.

https://jamesg.blog/2023/12/15/auto-write/