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Safeguarding What You Build

You have built something. You described what you wanted in plain English, AI built it, and you verified it works by stepping through your acceptance criteria. That is your first layer of guardrails in action.

This lesson introduces the next layers: practices that scale that verification, keep your software safe and secure, and help your organization make smart decisions about where AI should operate independently and where humans need to stay involved.

What You Will Learn

• How to automate the verification you did manually in Sprint 1, so your acceptance criteria become tests that run themselves
• How quality gates on a deployment pipeline ensure that only tested, secure, and verified software reaches production
• When to keep a human in the loop versus trusting automated safeguards, and how to calibrate that decision for your mission
• How AI is changing what teams look like, and why specialization, judgment, and taste matter more than ever

After this lesson, you will move into your second Hands-on Challenge Sprint.