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AI App Builder
The full-stack AI app builder for vibe coding. Describe what you want in plain language and Lovable generates a working app with a frontend, backend, database, and authentication, syncing to Supabase and GitHub. Plan mode helps you think through decisions, while Build mode edits across files and verifies the result.
Vibe Coding
Describe an app in natural language and Lovable generates working, editable code
Plan vs Build
Plan mode reasons through decisions; Build mode edits files and verifies the result
Full Stack
Frontend, backend, database, and auth, with Supabase for data-linked features
GitHub Sync
Two-way version control so you keep ownership of the generated code
Knowledge File & Integrations
A project brain sent with every prompt, plus a desktop app, MCP server, and API (vendor-reported)
Lovable is a full-stack AI app builder for what its community calls vibe coding: you describe an app in plain language and Lovable generates a working frontend, backend, database, and authentication, with code you can edit. Projects link to Supabase for data-backed features and sync to GitHub for version control, so you keep ownership of what is built. All figures below are vendor-reported and verified 2026-06-16.
You write what you want in natural language and Lovable produces a working app: a frontend interface, a backend, a database, and authentication. Database-linked features run on Supabase, and the generated code stays editable. A preview toolbar lets you make fast UI edits, and version pinning plus remixing let you branch and roll back as you iterate.
Plan mode acts as an AI co-pilot for decisions and debugging without editing code, while Build mode works autonomously: it explores the codebase, edits multiple files, inspects logs and network activity, tests in a browser, and verifies its work. A prompt queue processes one task at a time, and queued prompts can repeat to keep work moving.
Lovable bills on a credit model where cost depends on how many files change, how complex the logic is, and how much the agent explores. Inline text edits and comments do not consume credits, and many simple requests cost less than a single credit. Plans start free, and paid tiers add credit allowances, custom domains, and team controls. Confirm current details at lovable.dev/pricing.
Vendor-reported, verified 2026-06-16. Plan prices and credit allowances move quickly; confirm current details at lovable.dev/pricing and docs.lovable.dev.
$0
Free Plan / Mo
$25
Pro / Mo (Annual)
$50
Business / Mo (Annual)
100
Pro Credits / Mo
In-depth coverage of what Lovable is and how to build a real app with it, from your first prompt to a working full-stack project. Researched with vendor documentation and honest trade-offs.
The AI app builder explained: how vibe coding works, what Lovable generates across the stack, the difference between Plan and Build mode, and how usage-based credits and the free and paid plans compare.
A walkthrough from a blank project to a working app: writing a clear first prompt, setting up the Knowledge file, using Plan and Build mode, connecting Supabase and GitHub, and reviewing what the agent ships.
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AI Governance
Responsible AI, code provenance, the EU AI Act, and compliance for generative tools.
Important context for responsible AI adoption
Lovable is a cloud service: your prompts, the code in your project, and the agent's actions are processed through Lovable's infrastructure and connected services such as Supabase and GitHub. Lovable reports compliance with SOC 2 Type II, ISO 27001:2022, and GDPR, and Business and Enterprise plans add controls such as SSO, SCIM, and a security center. Free and individual plans differ from organization-managed plans in the controls available, so review Lovable's current privacy and security documentation before processing sensitive or proprietary code or data.
App builders like Lovable make it easy to keep shipping, but long build-and-iterate sessions can blur into overwork, and the speed of generating software should not replace rest, review, or real connection. If you are experiencing distress:
AI systems can produce plausible-sounding but incorrect guidance. For mental health, medical, legal, or financial decisions, always consult a qualified professional.
See the NIST AI Risk Management Framework for structured guidance on AI risk assessment.
Under GDPR (EU) and CCPA (California), you have the right to access, correct, and delete your personal data. AI app builders can produce confident but wrong output, so generated code should be treated as a starting point. Always review what the agent builds, test it, and run a security review before you ship it to real users.
The EU AI Act sets transparency obligations for generative AI, including disclosure of AI-generated content. Organizations building software with AI tools remain responsible for meeting these provisions and for the applications they release.
This publication is editorially independent. AI tool coverage reflects independent research, vendor documentation, and editorial judgment. Where affiliate links are present, they are clearly disclosed and do not influence conclusions.