https://www.reddit.com/r/LocalLLaMA/comments/1nhhmu6/autobe_built_fulllevel_backend_applications_with/

This is an article copied from Reddit Local LLaMa channel's article of 5 months ago written. A new shocking article may come soon.

Project	`qwen3-next-80b-a3b-instruct`	`openai/gpt-4.1-mini`	`openai/gpt-4.1`
To Do List	Qwen3 To Do	GPT 4.1-mini To Do	GPT 4.1 To Do
Reddit Community	Qwen3 Reddit	GPT 4.1-mini Reddit	GPT 4.1 Reddit
Economic Discussion	Qwen3 BBS	GPT 4.1-mini BBS	GPT 4.1 BBS
E-Commerce	Qwen3 Failed	GPT 4.1-mini Shopping	GPT 4.1 Shopping

The AutoBE team recently tested the qwen3-next-80b-a3b-instruct model and successfully generated three full-stack backend applications: To Do List, Reddit Community, and Economic Discussion Board.

Note: qwen3-next-80b-a3b-instruct failed during the realize phase, but this was due to our compiler development issues rather than the model itself. AutoBE improves backend development success rates by implementing AI-friendly compilers and providing compiler error feedback to AI agents.

While some compilation errors remained during API logic implementation (realize phase), these were easily fixable manually, so we consider these successful cases. There are still areas for improvement—AutoBE generates relatively few e2e test functions (the Reddit community project only has 9 e2e tests for 60 API operations)—but we expect these issues to be resolved soon.

Compared to openai/gpt-4.1-mini and openai/gpt-4.1, the qwen3-next-80b-a3b-instruct model generates fewer documents, API operations, and DTO schemas. However, in terms of cost efficiency, qwen3-next-80b-a3b-instruct is significantly more economical than the other models. As AutoBE is an open-source project, we're particularly interested in leveraging open-source models like qwen3-next-80b-a3b-instruct for better community alignment and accessibility.

For projects that don't require massive backend applications (like our e-commerce test case), qwen3-next-80b-a3b-instruct is an excellent choice for building full-stack backend applications with AutoBE.

We AutoBE team are actively working on fine-tuning our approach to achieve 100% success rate with qwen3-next-80b-a3b-instruct in the near future. We envision a future where backend application prototype development becomes fully automated and accessible to everyone through AI. Please stay tuned for what's coming next!

Links

AutoBE GitHub Repository: https://github.com/wrtnlabs/autobe
Documentation: https://autobe.dev/docs

StackFeed

[AutoBe] built full-level backend applications with "qwen-next-80b-a3b" model.