Prompt Engineering & Vibe Coding

Lesson 5 of 6

Vibe Coding Responsibly: Risks and Guardrails

Vibe coding can make you dramatically faster, and it can also let mistakes compound quickly if you're not careful. A few guardrails keep the speed without the chaos.

Common risks

  • Hallucinated APIs, confidently using a function, library, or config option that doesn't actually exist, or doesn't work the way it assumed.
  • Silent scope creep, an agent "helpfully" refactoring unrelated code while completing your actual request.
  • Security blind spots, especially around authentication, input validation, and anything touching money or personal data.
  • Losing understanding of your own codebase, if every feature was written by an agent you only skimmed, you'll struggle to debug, extend, or explain any of it later.

Guardrails that help

  • Commit before big changes. A clean git history lets you review a diff properly, and revert instantly if something's wrong, rather than untangling a huge uncommitted mess.
  • Work in small, reviewable increments. Ask for one feature or fix at a time rather than "build the whole app," the smaller the change, the easier it is to actually verify.
  • Ask the AI to explain its reasoning. "Why did you choose this approach?", if the explanation doesn't make sense, that's a signal to dig deeper before accepting the change.
  • Keep a human in the loop for anything risky. Deleting data, sending real emails, spending real money, touching production, these should always get an explicit human review, no exceptions.
  • Test the unhappy paths yourself. AI-generated tests tend to cover the scenario you asked for, but you're still responsible for thinking about what could go wrong.

TIP

A good habit: after an AI finishes a task, ask yourself "could I explain this code to a coworker right now?" If the honest answer is no, that's worth fixing before you move on, not after something breaks.

📝 Guardrails Quiz

Passing score: 70%
  1. 1.What is a "hallucinated API"?

  2. 2.Committing your code before a large AI-driven change makes it easy to ____ if something goes wrong.

  3. 3.Destructive actions, like deleting data or force-pushing, should always get explicit human review before an AI executes them.