# RootbeerComputer/backend-GPT

Repository: https://github.com/RootbeerComputer/backend-GPT
Canonical: https://ross.abutalabs.com/products/backend-gpt
Language: JavaScript
License Family: other
Last push: 2023-06-26T19:37:09+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 94
- inputs: {"age_days": 1320, "days_push": 1164, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2932, forks 219 (observed 2026-08-28T04:07:30.702626+00:00)

## What it is
An experimental project that replaces a traditional backend and database with an LLM. Users describe their app's purpose, provide an initial JSON state blob, and then make arbitrary API calls whose business logic is inferred by the model, which returns responses and updated persistent state.

## Use cases
- prototype a backend without writing any code
- generate todo list app endpoints from natural language
- let an LLM infer API business logic from function names
- quickly iterate on frontend ideas without a real backend
- demo serverless apps with tiny JSON state
- explore LLM-driven CRUD operations

## When to choose
- prototyping toy apps or demos where correctness doesn't matter
- experimenting with LLM-inferred business logic
- hacking together a frontend mockup without backend work

## When to avoid
- production systems requiring reliability or correctness
- apps handling sensitive or large amounts of data
- projects needing deterministic API behavior or real persistence beyond ~1KB

## Facets
- artifact type: application
- maturity: experimental
- function: http-server, api-framework, llm-inference, database, agent-framework
- domain: large-language-models, backend, web-development, artificial-intelligence, apis
- platform: self-hosted
- tags: llm-as-backend, serverless, no-code-backend, gpt, -state, crud, novelty-project, nodejs, web-server

## Member repositories
- RootbeerComputer/backend-GPT (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.702626+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:33:23.024176+00:00, confidence not recorded.
  - readme: https://github.com/RootbeerComputer/backend-GPT (fetched 2026-08-28T04:07:30.702626+00:00, sha 59a4ab1dbc40)
- Data as of 2026-08-30T08:39:29.467469+00:00.