Vibe coding.
Vibe coding is building software by prompting an AI tool in plain language and accepting the code it produces, with little manual review of how it works. It is a quick way to get a prototype in front of people. The catch comes when you ship it to real users and real data, because the parts you skipped, security, edge cases, and ownership, are exactly the parts that decide whether the thing is safe to run.
01 / What is vibe coding
You describe the feature, the AI writes the code, and you keep going on the strength of whether it seems to work.
That loop is genuinely useful. A non-technical founder can get a clickable version of an idea in a weekend, learn what customers think, and avoid paying for a build before the idea is proven. We are in favor of that.
The risk is treating a prototype like a product. Code that looks like it works can still leak data, fall over under real traffic, or live on a platform you cannot leave. Without someone who can read it, you have no way to tell. That is the gap an audit closes: it turns a hopeful demo into a clear picture of what is safe to ship and what is not.
02 / Where the caution lives
- + Security: does it protect customer data, or quietly expose it?
- + Ownership: can you export the code and run it yourself, or are you locked to a platform?
- + Scale: does it hold up when real users arrive, or break at the first surge?
- + Maintainability: can a future engineer understand and extend it?
Built something with AI and want to know if it is safe to ship? Start with a software audit, or read AI coding tools vs a development agency. Start a conversation.
03 / Common questions
Is vibe coding bad?
No. It is a fast way to test an idea or build a rough internal tool. The caveat is shipping it to real users and real data without anyone checking the security, the edge cases, or whether you actually own and can run the code. For that step, a software audit tells you where you stand.
Can a vibe-coded app be made production-ready?
Often yes. We start with an audit of what exists, then harden the security, fix what breaks under load, and document it so you own it cleanly. Sometimes the fastest path is rebuilding the risky parts, and the audit makes that call with evidence rather than a guess.
Do I own software I made with AI tools?
It depends on the tool. Some platforms keep your project on their servers and make export hard, which is vendor lock-in. When we build, you own the repo, the prompts, the evals, and the deployment from day one.
Last updated June 2026 · Talk with Felipe
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