Vibe Coding Tools Compared: Which One to Pick Based on What You Build
Lovable, Bolt, Replit Agent, v0, and Cursor compared for vibe coding: what each does well, how each charges, and when each one fits. A practical guide.
What should you compare before choosing?
Five questions sort the decision better than any table:
- Are you starting from scratch or from a codebase that already exists?
- Do you need a backend, a database, and authentication, or only an interface?
- Who will maintain the result: you, a developer, or nobody?
- How do you want to pay: by credits, by tokens, or per user?
- Who can see the project and its code?
The answers change the tool. A mockup to validate an idea with five users does not need what an app that processes payments needs.
What does each one do well?
| Tool | What it offers | What to watch |
|---|---|---|
| Lovable | Platform that generates complete apps from natural language: interface, backend, database and authentication, with code sync to GitHub | Credit use depends on the complexity of each request |
| Bolt | Sites and apps from the browser (websites, stores, dashboards, internal tools) with its own database and publishing | Token use, which grows with project size |
| Replit Agent | Agent that builds projects from an idea, configures databases and publishes from the same environment | Agent modes and effort-based pricing: paid actions ask for confirmation |
| v0 | Vercel’s agent for interfaces, React components and full-stack apps, with deployment on Vercel | Billing by input and output tokens |
| Cursor | Editor with an agent to understand an existing codebase, plan changes, fix bugs and review diffs | Requires being able to read and review code |
For designers, the dividing line is simple: if you want to show a working idea, start on a platform; if you want your design to reach a product that already exists, start in an editor or a component generator.
How do they charge?
Prices change often, so always check the official page. This is what each tool’s pricing page published in November 2026:
- Lovable charges with credits, a single balance used to build, host with Cloud and run AI features inside your apps. The free plan gives 5 build credits a day (up to 30 a month) plus 20 Cloud credits a month. Monthly credits on paid plans expire after two months and daily credits expire at the end of the day. The page’s examples range from 0.50 to 1.70 credits per prompt, so changing a button costs less than requesting a new feature.
- Bolt charges with tokens. The free plan allows 300,000 tokens a day and 1 million a month, with no rollover. Pro costs 25 dollars a month, starts at 10 million tokens a month, has no daily limit and lets unused tokens roll over.
- v0 charges by input and output tokens. The free plan is limited to 7 messages a day; Plus costs 30 dollars per user per month and includes 30 dollars of monthly credit plus 2 dollars of daily credit on login.
- Replit lists Core (20 dollars a month) and Pro (100 dollars a month) plans, plus effort-based pricing for agent usage.
- Cursor offers a free plan with limited requests and paid plans with a shared usage pool that refreshes weekly.
A practical tip: run the same small task in two tools and measure how many credits or tokens each one uses. That is more useful than any table.
How does it apply to a project?
A flow that works for validating an idea:
- Write the problem and the main action in three sentences.
- Generate the first version on a platform and test the main flow.
- Move the interface into your component system if the result will keep growing.
- Review data, authentication, and permissions before sharing it with real users.
- Decide whether the prototype becomes a product or stays as a reference.
If the result will grow, it helps to understand components and agents so you do not build a second version of every button.
When should you NOT use one?
- When the product handles payments, medical data, or minors’ data without expert review.
- When you need full control of the code from day one and cannot read it.
- When the team already has a codebase and the tool only adds another source of truth.
- When the result must match the design down to every detail: the agent approximates.
Example
Illustrative example: a designer wants to validate a tool for booking yoga classes. She runs the same task, “a calendar with class booking and confirmation,” in Lovable and in Bolt. She measures usage: the first asks for more credits when she changes the flow, and the second consumes more tokens when it rewrites components. She chooses Lovable for the speed of its built-in backend and takes the prototype to the development team, which rewrites the payment logic. The measurement results are invented to illustrate the method.
What she learned: the comparison was more useful than the feature list, because it showed how each tool charges for her own task.
What should you check before committing to a tool?
Before you build anything important on any platform, check four things that do not appear on the landing page:
- Export: can you download the complete code and run it outside the platform? If not, the project depends on the vendor.
- Version control: does it integrate with Git and with a repository your team controls? Lovable, for example, documents sync with GitHub, GitLab and Bitbucket.
- Data, hosting and visibility: where do the database and the files live, and who can access them? Visibility rules change: since April 22, 2026 Lovable no longer lets you create public projects, and its projects are private at workspace level.
- Dependencies: which third-party libraries and services does the generated code use, and are their licenses compatible with your project?
A prototype that cannot be exported is valid for validating an idea. But if the idea works, migrating later can cost more than having built on your own code. Decide this before the first prompt, not after the first client.
Common mistakes
- Choosing from a feature list without running the same task in two tools.
- Moving a prototype to production without reviewing security or data.
- Assuming who can see or remix the project without checking the platform’s visibility settings.
- Budgeting from figures on a comparison blog instead of the official pricing page.
- Using a tool built for interfaces to solve a business logic problem.