Use this ai generated code security checklist before every ship. Learn secure vibe coding, understand llm code security risks, run an ai code review checklist, and reduce prompt injection in apps exposure.
Top risks
- Hardcoded secrets
- Broken authz
- Injection flaws
- Over-permissioned APIs
- Dependency footguns
- Unsafe logging of PII
Secure vibe coding rules
- Diff review mandatory
- Env secrets only
- Least privilege tokens
- Threat model auth paths
- CI scanners on
AI code review checklist
- AuthN/AuthZ
- Validation
- Error handling
- Dependency pins
- Dangerous eval/exec
- CORS and public endpoints
Prompt injection in apps
If your product accepts untrusted text into prompts/tools, isolate tools, sanitize inputs, and never let model output directly trigger privileged actions without policy checks.
Final takeaway
Treat ai generated code security as release criteria. Practice secure vibe coding, respect llm code security risks, use an ai code review checklist, and design against prompt injection in apps.
At The Vibe Developers, speed never skips the security gate.
FAQ
Can scanners replace review? No—combine both.
Add a security sign-off checkbox to PR templates for agent-authored changes.
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