d-bye

A Lovable alternative that generates approvals and permissions, consistently

Lovable generates full-stack React/TypeScript with AI and lets you take the code via two-way GitHub sync (its back end/DB is Supabase). d-bye has the AI draft a validated spec instead of raw code, passes type checks and a compile check, lets you choose your backend language, and models foreign keys, approval flows, and role-based permissions in the spec.

Where Lovable starts to feel limiting

The model emits raw code

Lovable generates code directly from a prompt. Quality is high, but nothing programmatically guarantees it type-checks, compiles, or stays consistent across the stack — the larger the app, the more that is your job.

Back end / DB is Supabase-based

Lovable auto-provisions Supabase (PostgreSQL, auth, storage). Fast, but your back-end stack and architecture choices center on Supabase.

Credit-based (token) pricing

Free ($0, 5 daily credits) / Pro $25 (100 monthly credits) / Business $50 / Enterprise. You spend credits as you generate.

How d-bye differs — a validated spec, stack choice, and business depth

d-bye treats the design spec as the single source of truth: design screens, DB, flows, and permissions, then generate a full stack. The AI drafts the spec, not raw code, then passes validation and generation gates.

  • The AI drafts a spec, not raw code → type checks and a compile check catch structural errors before export.
  • Choose your backend (multi-language, not Supabase-only). Generates a database schema (DDL). See supported languages & databases
  • Front end, back end, and DDL derive from one spec, so they stay consistent across the stack.
  • Foreign keys, approval flows, and role-based permissions are modeled in the spec.
  • Export everything as a ZIP (like Lovable, the code is yours — plus you keep the spec as an asset).

Where Lovable generates React/Supabase with AI, d-bye generates a business app — approvals and permissions included — from a validated spec, consistent across the stack.

Comparison

Lovabled-bye
Generation starts fromThe model emits raw codeA validated spec, then code
Quality gate— (model output)Type checks + compile check every generation
Back end / DBSupabase-based (Postgres/auth/storage)Backend (multi-language) + database schema (DDL) See supported languages & databases
Business features (FK, approvals, roles)Build by handModeled in the spec and generated
Code ownership / exportYes (two-way GitHub sync)Yes (full export as a ZIP + the spec)
PricingCredit-based (Free / $25 / $50)Sandbox ¥0 / Personal ¥2,980+ (full export)

Pricing and specs change. Please check each vendor’s official site for the latest (checked 2026-07).

Which should you choose? (an honest split)

Lovable fits when: you want to spin up a full-stack React + Supabase app fastest; you iterate prompt-first; the Supabase setup works for you.

d-bye fits when: you want to choose your backend language; you need approvals and permissions generated consistently; you want AI output constrained by type and compile checks.

If unsure, try the free Sandbox first: open a template as a working preview and check the generated code (front end, back end, DDL).

FAQ

Can Lovable export code? How is d-bye different?
Yes — Lovable lets you take the code via two-way GitHub sync. d-bye also exports everything as a ZIP. The difference is method and stack: Lovable emits raw code and is Supabase-based, while d-bye generates the backend (multi-language) + database schema (DDL) from a validated spec, consistently across the stack.
Can I choose the back-end architecture?
d-bye lets you switch the back end between multiple languages and generates the database schema (DDL). Lovable auto-provisions Supabase.
Which is better for business apps with approvals and permissions?
d-bye models foreign keys, approval flows, and role-based permissions in the spec and generates them. For the consistency of a long-lived business app, d-bye fits; for fast spin-up, Lovable is strong.
Will the AI-generated code break?
d-bye has the AI draft a spec rather than raw code, then runs type checks and a compile check as a gate. See the Learn guide “an AI code generator that actually works”.

Next step

  • Try a template as a working preview for free → generate the code if you like it
  • Start from inventory / approvals / attendance / contact templates
  • Full download requires Personal or higher (design and preview are free, no credit card)