Skip to content
#

best-practices

Here are 241 public repositories matching this topic...

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks

  • Updated Mar 12, 2026
  • Python

This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.

  • Updated Dec 12, 2025
  • Python

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

  • Updated Mar 19, 2026
  • Python
documentation

The central source of truth for Armbian user guides, developer documentation, and technical manuals. This repository provides the markdown source for the official Armbian website and wiki, helping users get started and developers contribute.

  • Updated Mar 30, 2026
  • Python
tomodachi

💻 Microservice lib designed to ease service building using Python and asyncio, with ready to use support for HTTP + WS, AWS SNS+SQS, RabbitMQ / AMQP, middlewares, envelopes, logging, lifecycles. Extend to GraphQL, protobuf, etc.

  • Updated Mar 25, 2026
  • Python

Improve this page

Add a description, image, and links to the best-practices topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the best-practices topic, visit your repo's landing page and select "manage topics."

Learn more