Vibe coding vs Bubble: which should you build on in 2026?

Before anything else, our cards on the table: we build client apps on Bubble, and the website you are reading right now was vibe coded on Lovable. We use both every week. So this is not a hit piece in either direction; it is the decision framework we actually use.

The short answer

If you want to test an idea this week, vibe coding is the fastest way anyone has ever had to get a working product in front of people. If you are building something that will hold customer data, take payments, and still need to work in two years, Bubble's guardrails, or a vibe-coded app hardened by real engineering discipline, will serve you better. The interesting question is not "which tool" but "who is accountable for what ships", and the smartest pattern we see in 2026 is sequencing: vibe code the prototype, then rebuild or harden it properly once real users show up.

What vibe coding is

Andrej Karpathy coined the term in a February 2025 post: building software by fully giving in to the AI, where you "forget that the code even exists". Worth noting what he said in the same breath: he scoped it to low-stakes throwaway projects. The limits were set by the person who named the thing. By November 2025 it was Collins Dictionary's Word of the Year, which tells you how fast it went mainstream.

The main tools in 2026: Lovable (Pro from $25 per month on a credit system), Bolt.new (Pro $25 per month, token-based), v0 by Vercel (Plus $30 per month), and Replit's Agent (around $20 per month plus usage-based charges). Lovable and Base44 aim at non-coders; Bolt, v0 and Replit assume you are at least comfortable near code. You describe the app in plain language, and minutes later there is a running product with real code behind it, usually React with a Supabase database, that you can export and own.

What it is genuinely great at

The speed is not hype. TechCrunch reported in March 2025 that a quarter of Y Combinator's winter batch had codebases that were about 95 percent AI-generated, and YC stressed these were highly technical founders choosing to build this way. Base44's solo founder bootstrapped to roughly 250,000 users in weeks and sold to Wix for $80M cash about six months after starting. Lovable says it reached about $500M in annualized revenue with 60 million projects created (the company's own figures, relayed by press). Even Bubble's own comparison concedes Lovable produces the best AI-generated aesthetics and is excellent for rapid, demo-ready prototypes.

We can confirm from experience. This site went from nothing to a designed, working, production website faster than any framework build we have done, and we kept working on it in Lovable afterwards, happily.

Where it bites

The failure modes are just as real, and by now well documented.

Security defaults. In May 2025, security researcher Matt Palmer published CVE-2025-48757: scanning apps from Lovable's own showcase, he found 170 of 1,645 had missing or broken database permissions, leaving names, emails and even payment data readable by anyone. To Lovable's credit, it responded by generating permission rules by default and running an automatic security scan on every publish. Worth understanding what that scan is: it verifies that permission rules exist, not that they are correct, so it is a baseline rather than an audit. The lesson stands for every AI builder: the tool will happily ship an app whose front door is open, because you never asked it to lock it.

The agent can hurt you. In July 2025, during a public vibe-coding experiment, Replit's agent deleted a founder's production database during an explicit code freeze, then wrongly said the data was unrecoverable (a rollback later restored it). Replit's CEO called it unacceptable and shipped automatic separation of development and production databases in response. Both this and the Lovable episode date from mid-2025 and both products are better for it; the pattern to internalize is that these tools fail loudly exactly where production software cannot.

The "almost right" tax. Surveys of developers using AI coding tools generally (not these app builders specifically) keep finding the same thing: 66 percent report frustration with AI code that is almost right but not quite, and about 28 percent say fixing AI-generated code eats most of the time it saved. For a prototype, "almost right" is fine. For the app running your business, "almost right" is a support queue.

The rescue economy exists because the stall is common. 404 Media documented a growing trade of engineers paid to fix vibe-coded apps, with typical repairs quoted at $1,000 to $10,000, and Fiverr now has a whole gig category for it. The customers, per the founder of one matching site, are mostly PMs, salespeople and small business owners who got 90 percent of the way and hit a wall on the last 10. One honest note: nobody has credible data on what share of vibe-coded apps stall; the dramatic percentages circulating in posts on this topic have no traceable source, so we won't quote them.

What Bubble is, and what it trades away

Bubble is a visual development platform, around since long before the AI wave: you build the interface, database, logic and permissions by configuring them visually, and Bubble runs the whole thing for you, hosting, authentication, database and access rules included. Data permissions are set in the editor rather than left as an exercise, which is exactly the layer the 2025 security research found broken in many vibe-coded apps. It now has its own AI generation too: describe an app, review a plan, and Bubble builds the interface, data and workflows, with an AI agent (still labeled beta) for changes. Since mid-2025 it can also ship native mobile apps from the same project (also still in beta), at extra cost.

The honest trade-offs, from our daily experience and Bubble's own documentation:

• No code export. Bubble's manual says it plainly: apps run only on Bubble, and you cannot export runnable code. You own your data and design; leaving means rebuilding. Vibe-coding tools win this point outright, since they hand you a standard codebase.
• Usage pricing needs watching. Bubble meters usage in workload units; a badly built query can burn through an allowance, and overage costs $0.30 per 1,000 units. We wrote a whole guide to this in how much a Bubble app costs; the short version is that build quality determines your bill.
• The first version is slower. Nobody gets a demo-ready Bubble app in an afternoon of prompting. You are configuring a real system, and that takes days to weeks, or an experienced builder.

Side by side

How we actually choose

Three questions decide it for us, and they are about the project, not the tools:

1. What happens if the data leaks or vanishes? Marketing site: nothing much, vibe code it. Customer records and payments: you need enforced permissions and someone accountable, from day one.
2. Who maintains it in month six? A standard codebase is only an advantage if someone who reads code will be there. A Bubble app can be maintained by a trained non-engineer. A vibe-coded app maintained by nobody becomes a rescue job.
3. How far past the demo are you going? If the goal is to learn whether anyone wants this, optimize purely for speed. The moment real users arrive, someone senior should decide what gets rebuilt, hardened, or kept.

Our own answers explain our own choices. This website is a content site with no customer data, maintained by people who read code, so it lives on Lovable and we like it there. Our client apps hold other people's business data and get maintained for years, so we build them on Bubble, accelerated with Claude and Codex, with a senior expert checking everything that ships. And when someone arrives with a vibe-coded app that got 90 percent of the way, that is work we take on: keep what is good, harden what is risky, and rebuild what will not survive contact with real users.

Common questions

Is vibe coding safe for production? It can be, if someone who understands security and operations reviews what the AI built before real user data goes in. The tools' defaults are much better than in early 2025, but a publish-time scan is not an audit. Unreviewed, treat a vibe-coded app the way its inventor did: as a brilliant throwaway.

Can I start with vibe coding and move to Bubble, or the other way? There is no import in either direction; a switch means rebuilding the app on the other platform, keeping your data and your learnings. That sounds worse than it is: by then you know exactly what the product should be, which makes the second build dramatically faster and this sequencing entirely sensible.

Which is cheaper? For a weekend test, vibe coding, easily. Over a year of production use they usually converge to the same order of magnitude, and in both cases the real cost driver is quality: debugging loops burn Lovable credits the same way inefficient queries burn Bubble workload units.

Do I still need developers at all? For the first prototype, genuinely maybe not. For anything holding real user data, yes, somewhere: either engineers who own a vibe-coded codebase, or experienced Bubble builders with senior review. The YC founders shipping 95 percent AI-generated code are technical people supervising the machine, and that supervision is the part that does not automate.

My vibe-coded app is stuck. Now what? You are in good company; there is a whole market of engineers fixing exactly this. Get someone senior to triage what is salvageable before paying anyone to add more features on top. That triage is a fixed, bounded piece of work, and it is where we usually start.

Published August 2026. Prices are the published figures we could verify in August 2026 and change often; growth figures are company-reported unless a study is linked.