Vibe coding: what it is, what it is not, and what it means for your business
A landscaper asked us whether he could just describe the app he wanted and have it appear. The short answer is: partly, and the part that works is bigger than most people expect.
Vibe coding means describing the software you want in plain English and letting an AI tool write the code, then judging the result instead of reading every line. It works well for prototypes, internal tools and copies of a proven pattern. It breaks on data design, security and the edge cases nobody described, so we treat it as a fast first draft that still gets checked on the real thing before it ships.
What vibe coding actually means
The term describes a way of building software where you say what you want in ordinary words and an AI tool writes the code. You type "make a page where a driver can log a vehicle inspection with photos," the tool writes the page, you look at it, and you say what to change. Nobody types the code by hand. The name comes from the feeling of it: you work by feel, judging the result on screen instead of studying every line underneath.
We do this every day. Most of the code in what we ship now is written by AI tools from descriptions we give them. That is not a confession. It is simply how the work gets done in a small studio in Delray Beach, and it is why a builder, a landscaper and a retirement advisor can each afford their own software now.
Where it works well
- Prototypes. When an owner says "I want something like this," we can have a clickable version on a real web address the same afternoon. Looking at a working screen settles arguments that a document never would.
- Internal tools. A shift schedule, a vehicle inspection form, a driver handbook with search. These have a small number of users who all work for you, and the rules are already written down somewhere. That is the ideal job for describe and build.
- Copying a proven pattern. Once a CRM works for one company, turning it into a CRM for a different industry is mostly description: new lead sources, new stages, new scoring. The hard parts were already solved the first time.
- Glue work. Sending a lead from a website form into a database, posting a summary to a chat channel, turning a spreadsheet into a page. Small, well defined, easy to check.
Where it breaks
The demo always looks fine. The trouble lives in what the demo does not show.
- Data. An AI tool will happily create a table for every screen it draws, so the same customer ends up stored in four places. Deciding what gets stored, where, and who is allowed to see it is a design job, and the tool will not do it unless someone insists.
- Security. Logins, permissions and the line between one client's data and another's. A described app often works perfectly for the one user who tested it and leaks for everyone else.
- Edge cases. What happens when the photo upload fails halfway. What happens when two people edit the same record. What happens when the phone loses signal. Nobody describes these, so nobody builds for them.
- Anything you cannot see. A nightly job that quietly stops running, an email that never sends, a database that fills up. The vibe is fine because the screen is fine.
How we use it without getting burned
- Start from a base that already runs in production for someone else, not from a blank page.
- Describe the work in business terms (a lead, an estimate, a shift) and let the tool translate.
- Check the result on a live preview address, on a phone, with real data, never only on a laptop.
- Read line by line anything that touches money, logins, permissions or another company's data.
- Keep the code, the database and the hosting in the client's own accounts so the work is theirs whatever tool wrote it.
What this means for your business
The first version of almost anything is now cheap and quick. The question stops being "can we afford to build this" and becomes "is this worth running." Running still means someone owns it: watches it, fixes it when a supplier changes something, and adds the next feature when your process changes. Vibe coding lowers the cost of the draft. It does not remove the need for a careful second pass, and it does not remove the need for an owner.
That second pass is the part of the job we care about most. The draft is fast for everyone now; the checking is what separates software that runs a business from software that runs a demo.
Questions people ask
Is vibe coding safe for software that handles customer data?
It can be, if the data design and the permissions are reviewed by a person rather than accepted from the first draft. We read those parts of the code line by line and test them on the live system with more than one user account. The description gets you a working screen; the review is what makes it safe to run.
Can a business owner vibe code their own tools?
For a small internal tool with a handful of users, often yes, and we encourage it for prototypes. The trouble starts when the tool touches the website, the customer list or a payment, because the mistakes there are invisible until something goes wrong. That is usually the moment to bring in someone who builds and maintains these systems.
Does using AI to write the code mean the software is lower quality?
Not by itself. The quality comes from the base it starts from, the way the data is designed, and whether it was tested on the real thing. A carefully reviewed AI draft is usually cleaner than hand written code from a rushed project.
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