#backend
7 post(s) tagged here.
![[AutoBe] We Built an AI That Writes Full Backend Apps — Then Broke Its 100% Success Rate on Purpose](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fttv46fap8j4z8wt0nr6l.png)
[AutoBe] We Built an AI That Writes Full Backend Apps — Then Broke Its 100% Success Rate on Purpose
How we rebuilt AutoBE from a one-shot prototype builder to a modular development platform, recovering from 40% to near-100% compilation success through RAG optimization, weak-model testing, and type-driven validation.
![[AutoBe] Achieved 100% compilation success of backend generation with "qwen3-next-80b-a3b"](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qf913tsmiqf1lb73oes.png)
[AutoBe] Achieved 100% compilation success of backend generation with "qwen3-next-80b-a3b"
AutoBE achieved 100% compilation success for backend applications using local AI models like qwen3-next-80b-a3b — a marked improvement from earlier attempts where most projects failed to build.
![[AutoBe] Hardcore function calling benchmark in backend coding agent](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhozni1jenah5fce3azxg.png)
[AutoBe] Hardcore function calling benchmark in backend coding agent
AutoBE leverages LLM function calling throughout every phase rather than relying on plain text generation, including compiler AST structures with infinite depths — establishing the most extreme function calling benchmark ever.
![[AutoBe] Built full-level backend applications with "qwen-next-80b-a3b" model](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fr6ng0xk83z8km80m1335.png)
[AutoBe] Built full-level backend applications with "qwen-next-80b-a3b" model
The AutoBE team has successfully tested the qwen3-next-80b-a3b-instruct model to generate three complete backend applications: To Do List, Reddit Community, and Economic Discussion Board.
Succeeded to build full-level backend application with "qwen3-235b-a22b" in AutoBE
AutoBE successfully generated a complete backend application without compilation errors using qwen3-235b-a22b model, consisting of 10 API functions and 37 DTO schemas.
![[AutoBe] Qwen3-80B suddenly wrote doomsday AI mythology while generating a TODO app](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvns7e0plyyjq26e0aa5t.png)
[AutoBe] Qwen3-80B suddenly wrote doomsday AI mythology while generating a TODO app
During testing, the Qwen3-80B model unexpectedly generated approximately 3,000+ words of apocalyptic poetry instead of documentation while building a simple TODO application.
Built Reddit like community with AutoBe and AutoView (gpt-4.1-mini and qwen3-235b-a22b)
AutoBE demonstrated the ability to generate increasingly sophisticated backend applications beyond basic todo implementations using open-source and commercial AI models.