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eBook

Navigating Vibe Coding and Application Security

Vibe coding, the term Andrej Karpathy popularized for building software by describing it to a large language model in plain English, lets developers go from concept to prototype in hours and lets non-programmers build working apps. It also means accepting code with limited understanding of how it works. This ebook explains the risks that creates: “silent killer” vulnerabilities that pass functional tests, such as a generated login form that skips multi-factor authentication or stores passwords insecurely; bloated, duplicated code that piles up technical debt; and novices introducing flaws like path traversal or broken access controls. It also covers risks common to all AI-assisted coding, from insecure training data and context-blind suggestions to prompt injection, and compares vibe coding with more developer-led AI tools such as code completion. It closes with how static and dynamic testing, software composition analysis, AI-suggested fixes from Veracode Fix and developer training help teams keep the speed while securing what the AI writes.