system-prompts-and-models-of-ai-tools open source analysis
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
Project overview
⭐ 106031 · Last activity on GitHub: 2026-01-04
GitHub: https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
Why it matters for engineering teams
This repository addresses a practical need for engineering teams working with AI tools by providing a comprehensive collection of system prompts, internal tools, and AI models that are open source and ready to integrate. It is particularly suited for machine learning and AI engineering teams looking for a production ready solution to enhance code generation, automation, and AI-assisted development workflows. The maturity of the project is evident from its wide adoption and extensive community support, making it reliable for use in real-world applications. However, it may not be the right choice for teams seeking a fully managed or proprietary AI service, as it requires some setup and maintenance, and may not cover every niche AI use case out of the box.
When to use this project
This project is a strong choice when teams need an open source tool for engineering teams that supports diverse AI coding assistants and system prompts. Consider alternatives if you require a fully hosted solution or if your team prioritises minimal configuration and instant deployment over customisation.
Team fit and typical use cases
Machine learning engineers and AI specialists benefit most from this repository, using it to integrate and customise AI models and prompts within their development environments. It is commonly employed in products that combine AI-assisted coding, internal tooling, and developer automation, offering a self hosted option for teams aiming to control their AI workflows without relying on external services.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2026-01-04. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.