AI-Assisted Development With Verification Guardrails
Explore how to effectively verify AI-assisted code in frontend development to maintain security and correctness. Understand the importance of separating client-server concerns, performing automated checks, and applying targeted manual reviews to catch boundary violations and ensure reliable AI integration.
The same untrusted-output discipline applies to code you didn’t write yourself, including code an assistant wrote for you. A snippet compiles, the page loads, and a network request succeeds locally, but the code also ships a provider API key inside the browser bundle because the assistant placed it in Next.js’s NEXT_PUBLIC_* config for convenience. Nothing crashed. The mistake only becomes ...