Is Vibe Coding Good? An Honest Answer (Great Start, Bad Finish)

Vibe coding is good at the exact thing that makes it look dangerous, and dangerous at the exact thing that makes it look good. It will take you from an empty folder to a working screen faster than anything in the history of software. That speed is real. It is also the reason people get hurt, because the same flow that gets you to a demo in an afternoon quietly carries you past the point where you understand what you built.

So is vibe coding good? The honest answer is yes, and then no, and the order matters. It is a great start and a bad finish. If you only ever ask the question once, you will get the wrong answer, because the answer changes depending on which afternoon you are standing in: the one where you are sketching an idea, or the one three months later where the thing you depend on breaks and neither you nor the AI can say why. This post is the line between those two afternoons, drawn as clearly as I can draw it.

#What vibe coding is actually good at

Start with the part that is genuinely great, because pretending otherwise is the fastest way to lose a reader who has felt how good it can be. You describe what you want in plain English, the agent writes the code, and you iterate together until something runs. Andrej Karpathy coined the term for the version where you "fully give in to the vibes" and "forget that the code even exists." For a certain kind of work, that is not reckless. It is correct.

If you are sketching an idea, building a landing page, wiring up a throwaway internal script, or learning how a framework fits together, vibe coding is the best tool that has ever existed for the job. It flattens the learning curve to nearly nothing. It lets a non-engineer hold a real artifact in their hands in an hour instead of a quarter. Google's own AI Overview on this exact question lands in the same place: vibe coding is "incredibly good for rapid prototyping and side projects." Nobody serious disputes the start. The disputes all begin at the finish. (If you are still picking a tool, we tested and ranked the best vibe coding tools for 2026.)

#Where it stops being good

Here is the reframe, and it is the whole post. Vibe coding does not fail because the code is bad. It fails because the intent was never written down.

Watch what happens at the three-month mark. The Red Hat Developer team, in a piece bluntly titled The uncomfortable truth about vibe coding, describes the wall: because you built the app without explicit specifications, the architecture becomes muddled, and neither you nor the AI can map out exactly how the system interacts anymore. The code runs. What it does, and why it does it that way, is gone. A novice building in public put the same fear in plainer words on r/vibecoding: "if at some point this context deviates from the truth of your product, the AI will start getting confused, you are creating debt." They were right, and they were describing the exact mechanism.

The reason this happens is structural, not a skill issue. When you vibe code, the only record of what the app is supposed to do lives in two places: the running code, and the conversation you had with the agent. The conversation evaporates. The code remains, but code tells you what the software does, never what it was supposed to do or which behaviors are load-bearing. So when you come back to change one thing, you and the agent are both reverse-engineering your own product from its output. That is the lost-intent problem, and no model upgrade fixes it, because the missing thing was never in the model. It was supposed to be in a document you never wrote.

#"Software is now disposable" is true, until it isn't

You can feel this debate hardening into a belief right now. Across r/cscareers and r/dataengineering the same line keeps recurring, said with a mix of awe and grief: "Software is now disposable." And for a huge amount of what gets vibe coded, that is simply true. A demo is disposable. A prototype is disposable. The script you wrote to clean one CSV is gloriously disposable, and treating it like a maintainable system would be the actual mistake.

The trap is letting the disposable case set the standard for everything. The moment software starts mattering, the moment real people depend on it, their data lives in it, your business runs on it, disposability flips from a feature to the bug. That is the line. Vibe coding is good precisely up to the point where the thing you are building stops being disposable. One afternoon past that line, the same workflow that felt like a superpower becomes a liability you cannot see into.

"It should work correctly is not a criterion."

That line, from APIMatic's Vibe Coding to Agentic Engineering piece, reframes the entire good-or-bad question. The difference between vibe coding that ships and vibe coding that collapses was never the tool, the model, or the prompt. It is whether anyone ever wrote down what "correct" means for this specific thing, in terms a human or an agent could actually check. Vibe coding skips that step by design. That is what makes it fast, and that is what makes it fail.

#What changes if you are building something real

If you are using Cursor, Lovable, Claude Code, or Replit to ship a product people will pay for, here is the concrete implication. Your first two features will feel incredible. Your third or fourth feature is where it breaks, not because the AI got worse, but because it is now editing a system it cannot fully see, with no record of which behaviors it must not break. You will spend afternoons chasing regressions in features you finished last week. The speed you fell in love with starts working against you. We wrote a whole post on why your AI agent keeps breaking things that worked; the short version is that nothing ever told it what "still working" means.

The fix is not to stop vibe coding. The fix is to give the work the one thing the vibe never produced: a written definition of what done means, before the agent builds. Compare the two inputs directly.

Vibe: "Build me a dashboard with user login."

Captured: "Build a user dashboard. Only authenticated users can access it; unauthenticated users redirect to /login. Show the user's name, plan tier, and last login date, read from the existing user object without changing its shape. The login flow built earlier must keep working unchanged."

The second one is not slower to think of. It is the same idea, written down so it survives the conversation and so anyone, human or agent, can verify the result against it. That written record is the difference between a start and a finish.

This is the gap BrainGrid is built to close. You describe the feature you want, and BrainGrid's Planning Agent asks the questions you would have skipped, then turns your idea into a requirement with explicit acceptance criteria: the conditions that have to be true for the feature to count as done. From there you can build in BrainGrid's managed sandbox with a live preview, or in your own GitHub repo with Claude Code, Cursor, or Codex over MCP. Either way, the Builder Agent works against the spec, and a feature is not finished until every criterion is verified with evidence. The loop is Plan, Build, Verify, Repeat. Vibe coding is that loop with the Plan and Verify steps deleted. Put them back, and you keep the speed of the start without the three-month wall.

#So, is vibe coding good?

Yes, for getting started, and no other answer survives contact with the evidence. It is the best on-ramp software has ever had and the worst place to leave a product you depend on. The skill is not choosing between vibe coding and "real" engineering. The skill is knowing which afternoon you are in, and writing down what done means before the thing you are building stops being disposable. Keep the vibe for the start. Capture the intent for the finish. If you want the tools that make the start as good as possible, start with our guide to vibe coding tools.

#FAQ

#Is vibe coding actually any good?

For the right job, yes. Vibe coding is excellent for prototypes, landing pages, throwaway scripts, learning, and getting a real artifact in your hands fast. It stops being good when the project has to be maintained, because it skips the step of writing down what the software is supposed to do, and that missing record is what makes long-lived vibe-coded projects collapse.

#What is the downside of vibe coding?

The core downside is lost intent. Because you build without explicit specifications, the architecture gets muddled and, around the three-month mark, neither you nor the AI can reconstruct how the system fits together or why it was built that way. Secondary downsides follow from it: regressions in features that used to work, security gaps nobody specified against, and a codebase you cannot safely change.

#Why do vibe coders fail?

They usually fail at the finish, not the start. The same speed that makes the first demo feel effortless carries them past the point of understanding their own product. With no written definition of "correct," every change becomes reverse-engineering, the agent breaks load-bearing behavior it could not see, and the project hits a wall it cannot climb without rebuilding. The failure is missing intent, not a missing skill.

#Is vibe coding good or bad for beginners?

It is a great learning tool if you use it as one. Ask the agent to explain the code it writes, break things on purpose to see what happens, and treat each project as a chance to understand the system rather than just ship it. It turns bad for beginners only when they lean on it to avoid ever understanding the result, which is exactly when a working demo gets mistaken for a finished product.

#Has anyone made money with vibe coding?

Yes, mostly at small scale and mostly for simple products. The pattern people report is consistent: the technical part was the easy part, and the real work was everything around it, like distribution, support, and keeping the thing running as it grew. That last part, keeping it running, is where the lost-intent problem shows up, and where a written spec starts paying for itself.

BrainGrid is the AI Product Planner that captures what "done" means before your agent builds, so vibe coding keeps its great start and gains a finish you can trust. Try it at braingrid.ai.