x1xhlol/system-prompts-and-models-of-ai-tools
system-prompts-and-models-of-ai-tools
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
Overview
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
Best for
- Evaluating system-prompts-and-models-of-ai-tools for the repository language AI workflows.
- Comparing a GitHub project with 137,875 stars and current repository activity.
Pros
- system-prompts-and-models-of-ai-tools has visible GitHub traction with 137,875 stars. Topics: ai, bolt, cluely.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the GPL-3.0 terms fit your use case.
Production readiness
system-prompts-and-models-of-ai-tools should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GPL-3.0 is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git