인공지능 자동화 워크플로우를 실험하기 위한 가벼운 도구인 qwen-forge를 만들었습니다.

Hi everyone,

I built a small project called qwen-forge while experimenting with AI workflows and automation.

It’s a lightweight tool that helps structure and test different LLM-based pipelines and integrations.

GitHub: https://github.com/alay-arch/qwen-forge

Why I built it

I was testing different AI setups and got tired of rewriting small pieces of integration logic every time I changed models or workflow structure.

So I built a simple tool to make experimentation faster and more consistent.

What it does (in short)

• helps structure AI / LLM-based workflows
• simplifies switching between different setups
• useful for experimenting with automation pipelines
• keeps things lightweight and flexible

Status

It’s still early stage and more of an experimental project.

I’m mainly looking for feedback on:

• whether this approach is useful in real-world workflows
• what people usually use instead
• what would make this actually practical for others

Any feedback is appreciated 🙌