Review
Reseña de Lovable 2026: Lo probé durante 2 semanas — Esto es lo que pasó | MeDo
By Marcus Rivera, Producto y Crecimiento en MeDo · 2026-06-15
Veredicto rápido
- Ideal para
- Desarrolladores y fundadores técnicos que quieren acelerar el desarrollo de aplicaciones React con IA mientras mantienen la propiedad total del código a través de GitHub.
- Limitaciones
- El plan gratuito es casi inutilizable (5 créditos/día), los usuarios no técnicos tendrán dificultades con la configuración de Supabase, y la lógica de negocio compleja a menudo requiere reescrituras manuales.
- En resumen
- Lovable es una herramienta genuinamente potente para desarrolladores que ya entienden React y la arquitectura backend. Destaca como multiplicador de velocidad, no como reemplazo del conocimiento en ingeniería. Si necesitas algo que todo tu equipo pueda usar sin conocimientos de programación, busca en otra parte.
¿Qué es Lovable?
Lovable es un constructor de aplicaciones full-stack impulsado por IA que genera aplicaciones React completas a partir de instrucciones en lenguaje natural. Lanzado a finales de 2024 (originalmente bajo el nombre GPT Engineer), se ha convertido rápidamente en una de las herramientas más comentadas en el espacio de constructores de aplicaciones con IA. Describes lo que quieres en español sencillo, y Lovable genera una aplicación funcional con interfaz frontend, lógica backend, autenticación e integración con base de datos — todo conectado y listo para desplegar.
Lo que distingue a Lovable de los constructores de sitios web con IA más simples es su enfoque en producir código real y listo para producción en lugar de plantillas de arrastrar y soltar. Internamente, genera React con TypeScript, usa Tailwind CSS para los estilos y se integra con Supabase (o la propia infraestructura en la nube de Lovable) para servicios backend como autenticación, bases de datos y almacenamiento de archivos. El código generado es tuyo — puedes sincronizarlo con GitHub, clonar el repositorio y continuar el desarrollo en tu propio IDE.
La experiencia se siente como programar en pareja con una IA que entiende la arquitectura full-stack. Chateas de forma iterativa, refinando funcionalidades y corrigiendo problemas a través de la conversación. Recuerda el contexto entre mensajes, puede leer registros de errores e intenta autocorregirse cuando algo falla. Para desarrolladores, es genuinamente impresionante. Para no desarrolladores que esperan construir sin código, la realidad es más complicada.
Funciones principales
- Generación de aplicaciones full-stack React + TypeScript a partir de instrucciones en lenguaje natural con integración backend de Supabase o Lovable Cloud
- Sincronización con GitHub y exportación ZIP para propiedad total del código — clona el repositorio y continúa el desarrollo en VS Code o cualquier IDE
- Desarrollo iterativo basado en chat donde la IA recuerda el contexto, lee registros de errores y se autocorrige a lo largo de las conversaciones
- Autenticación integrada, esquemas de base de datos, seguridad a nivel de fila y almacenamiento de archivos mediante la integración con Supabase
- Despliegue con un clic con soporte de dominio personalizado en planes de pago, más miembros ilimitados del workspace para colaboración en equipo
- Modo de edición visual para ajustes de UI junto a la interfaz de chat, con diseño responsive generado por defecto
Precios
| Plan | Precio | Funciones |
|---|---|---|
| Gratuito | $0/mes | 5 créditos por día (límite estricto), 30 créditos por mes máximo, Generación básica de aplicaciones, Solo soporte comunitario, Sin dominio personalizado, Sin sincronización con GitHub |
| Starter | $9/mes | 100 créditos por mes, Sincronización con GitHub, Exportación ZIP, Soporte básico, Miembros ilimitados del workspace |
| Pro | $25/mes | 500 créditos por mes, Sincronización con GitHub y exportación ZIP, Soporte de dominio personalizado, Soporte prioritario, Miembros ilimitados del workspace, Integraciones avanzadas con Supabase |
| Business | $50/mes | 1500 créditos por mes, Todo lo incluido en Pro, Límites de tasa más altos, Funciones de gestión de equipos, Cola prioritaria en horas pico, Canal de soporte dedicado |
Qué dicen los usuarios de Lovable
Lo que les gusta
“Built an entire SaaS MVP in a weekend that would have taken me 3 weeks to code. The GitHub sync means I actually own the code and can customize anything. This is what AI-assisted development should feel like.”
— Reddit
“Lovable is the first AI builder where the output actually looks professional. No generic Bootstrap vibes — clean Tailwind, proper component structure, responsive out of the box. Showed a client a prototype 2 hours after our kickoff call.”
— Product Hunt
“We evaluated 5 AI app builders for our innovation lab. Lovable won because of code quality and the Supabase integration. Our engineers can actually work with the generated codebase, unlike most AI tools that produce spaghetti.”
— G2
“The iterative conversation flow is addictive. Tell it what is wrong, it fixes it. Point it at an error log, it debugs. Feels like having a junior dev who never sleeps and never complains. Worth every penny of the Pro plan.”
— Twitter
Lo que les frustra
“5 credits a day on free tier is insulting. I could not even finish building a simple todo app before hitting the wall. It is basically a demo that exists to get your credit card info. At least give people enough to complete ONE project.”
— Reddit
“Tried using it for a client project with Stripe integration, custom webhooks, and a multi-step onboarding flow. Lovable generated maybe 60% of it correctly, then I spent more time debugging the AI output than I would have spent writing it from scratch.”
— Product Hunt
“The Supabase dependency is a double-edged sword. Great when it works, nightmare when it does not. Row Level Security policies generated by the AI were wrong 3 out of 4 times in my testing. Had to manually fix every single one.”
— G2
“Marketing says no-code but that is misleading. My PM tried to use it and gave up in 30 minutes. You absolutely need to understand React, database schemas, and API architecture to get anything useful out of this tool.”
— Twitter
Nuestra prueba práctica
Project: I built a project management dashboard with task boards, team assignment, deadline tracking, and a simple reporting view to test Lovable under realistic conditions.
I wanted to push Lovable beyond the typical "build me a landing page" demo, so I set out to create something I would actually use: a project management dashboard with Kanban boards, team member assignment, due date tracking, and a weekly progress report view. The kind of mid-complexity app that a small team might genuinely need.
The first hour was genuinely magical. I described the dashboard layout, asked for a sidebar navigation with project switching, and requested a Kanban board with drag-and-drop cards. Lovable generated a beautiful interface — clean typography, proper card shadows, smooth drag interactions. It even added keyboard shortcuts without me asking. The Supabase integration set up a projects table, tasks table, and team members table with proper foreign keys. I was impressed.
Then reality set in during week two when I started adding real-world requirements. I needed role-based access control so project managers could see everything but regular members only saw their assigned tasks. Lovable generated RLS policies that looked correct but silently failed — members could see all tasks regardless of assignment. I spent nearly two hours debugging Supabase policies that the AI had confidently generated. When I asked Lovable to fix them, it rewrote the policies three times, each version introducing a different subtle bug.
The reporting view was another pain point. I wanted a simple bar chart showing tasks completed per team member per week. Lovable chose Recharts (reasonable choice), generated the component, but the data aggregation query was wrong — it was counting all tasks, not just completed ones, and the date filtering logic had an off-by-one error on week boundaries. These are the kinds of bugs that look fine in a demo but would be embarrassing in production. By the end of my testing, I had a working dashboard that looked great, but I had to manually fix about 30% of the backend logic. For a developer like me, that is still a net time savings. For someone without coding skills, those bugs would have been showstoppers.
Problemas encontrados
- ✕Row Level Security policies were generated incorrectly 3 out of 4 times — they looked syntactically valid but had logical errors that silently exposed data to wrong users
- ✕Data aggregation queries for the reporting view contained off-by-one errors on date boundaries and incorrect filtering conditions that only surfaced with real data
- ✕The AI struggled with iterative fixes to complex logic — asking it to correct RLS policies resulted in 3 successive rewrites, each introducing new bugs rather than converging on a solution
- ✕Credit consumption was unpredictable — some prompts cost 1 credit while complex debugging conversations consumed 5-8 credits per exchange, making budget planning difficult
¿Es Lovable adecuado para ti?
Lovable es ideal para
- ✓Developers who want to accelerate React/TypeScript development while keeping full code ownership through GitHub
- ✓Technical founders building MVPs who understand backend architecture and can debug generated code when needed
- ✓Product teams with engineering support who need rapid prototypes that go beyond static mockups
- ✓Indie hackers and side-project builders comfortable with Supabase who want to ship faster without hiring
- ✓Agencies that need to produce working demos quickly and have developers on staff to polish the output
Evita Lovable si
- ✕Non-technical users who cannot debug React code or configure Supabase — despite the chat interface, coding knowledge is effectively required
- ✕Teams on tight budgets who need unlimited iteration — the credit system penalizes active development and experimenting with prompts
- ✕Projects requiring complex custom backend logic, third-party API integrations, or sophisticated business rules that AI struggles to generate correctly
- ✕Organizations that need their entire team (designers, PMs, marketers) to build and edit apps without developer assistance
- ✕Anyone who needs predictable monthly costs — credit consumption varies wildly based on prompt complexity and debugging needs
La mejor alternativa a Lovable
If Lovable's technical requirements and credit limitations feel like barriers, MeDo takes a fundamentally different approach to AI app building. Where Lovable generates code for developers to own and modify, MeDo provides a complete visual development environment that anyone on your team can use — no React knowledge, no Supabase configuration, no debugging generated code. You get the speed of AI with the accessibility of a true no-code platform.
- No daily credit caps or restrictive usage limits — build as much as you need without watching a meter tick down or rationing prompts across the week
- Genuinely no-code: designers, product managers, and marketers can build and edit apps independently without waiting for developer availability
- Built-in backend infrastructure with visual database management — no Supabase setup, no RLS policy debugging, no third-party configuration
- Visual editor with precise pixel-level control over design, so you never need to drop into code to adjust spacing, colors, or layout
- Predictable flat-rate pricing that does not penalize experimentation or active iteration during development sprints
Ready to build without the technical overhead? Try MeDo free and see how fast your whole team can ship — no credits to ration, no code to debug, no Supabase to configure.
Veredicto final
Lovable is a legitimately impressive tool that delivers real value for its target audience: developers who want AI-assisted speed without sacrificing code ownership. If you know React and are comfortable with Supabase, it can genuinely cut your development time in half for many projects. But it is not the no-code revolution its marketing sometimes implies — you need technical skills to get production-quality results, and the credit system makes costs unpredictable for active builders.
Preguntas frecuentes
Is Lovable really free to use?
Technically yes, but the free tier is extremely limited at 5 credits per day with a 30 credit monthly cap. In practice, you can barely complete a single simple app on the free plan. Most users find they need to upgrade to the Pro plan ($25/month) within their first day of serious use.
Do I need coding experience to use Lovable?
Despite the conversational interface, yes — you effectively need to understand React, TypeScript, and backend concepts like database schemas and authentication flows. The AI generates code that sometimes has bugs, and fixing those bugs requires developer skills. Non-technical users will hit walls quickly.
Can I export my code from Lovable?
Yes. Paid plans include GitHub sync (your project stays connected to a GitHub repo you own) and ZIP export. You can clone the repository and continue development in VS Code or any other environment. The generated code uses standard React, TypeScript, and Tailwind CSS.
How does Lovable compare to MeDo?
Lovable targets developers who want AI-accelerated coding with full code ownership. MeDo targets teams who want to build apps visually without coding skills. Lovable gives you a React codebase; MeDo gives you a deployed app with a visual editor. Choose Lovable if you want code control; choose MeDo if you want your whole team building without technical barriers.
Is Lovable worth the $25/month Pro plan?
For developers who actively build projects, the Pro plan offers good value — 500 credits per month is enough for moderate use, and the GitHub sync and custom domains justify the price. However, heavy users during active development sprints may still hit limits and find themselves needing the $50/month Business plan.
Ready to try MeDo?
Start building for free — no credit card, no commitment.