After your vibe-coded app is complete and you’ve done some initial security due diligence, you can then look into your long-term approach. While vibe coding is great for testing or initial builds, it is not often the best approach for full-scale applications that must be able to support a growing number of users. At this point, you can implement more effective threat modeling and automated safety guardrails for more effective security. Bring in a developer or engineer while you’re at it, too.
There are many other security best practices to begin following at this point in the process, too. Using software scanning tools, for example, you can see what your application relies on in terms of software packages and/or additional tools, and then check that list for potential vulnerabilities. Alongside evaluating third-part risk, you can move to CI/CD pipeline security checks, such as blocking hardcoded secrets with pre-commit hooks. You can also use metadata around any AI-assisted contributions within the application to show what was written with AI, which models were used to generate that code, and which LLM tools were involved in building your application.
Ultimately, vibe coding helps you build quickly and deploy what you want to see in the world. And while speed is great, security should be non-negotiable. Without the right security practices in place, vibe coding opens you up to a swarm of preventable problems, a slough of undue risk, or worse.
