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Secure AI-Assisted Development in Production: Practical Guardrails for Platform and DevOps Teams

This is the repository for the LinkedIn Learning course Secure AI-Assisted Development in Production: Practical Guardrails for Platform and DevOps Teams. The full course is available from LinkedIn Learning.

course-name-alt-text Robust platform guardrails are needed for AI-generated code to ensure reliability and security. Explore techniques for catching unsafe changes, maintaining efficiency, and more.

See the readme file in the main branch for updated instructions and information.

Instructions

This repository has branches for each of the videos in the course. You can use the branch pop up menu in github to switch to a specific branch and take a look at the course at that stage, or you can add /tree/BRANCH_NAME to the URL to go to the branch you want to access.

Branches

The branches are structured to correspond to the videos in the course. The naming convention is CHAPTER#_MOVIE#. As an example, the branch named 02_03 corresponds to the second chapter and the third video in that chapter.

When switching from one exercise files branch to the next after making changes to the files, you may get a message like this:

error: Your local changes to the following files would be overwritten by checkout:        [files]
Please commit your changes or stash them before you switch branches.
Aborting

To resolve this issue:

Add changes to git using this command: git add .
Commit changes using this command: git commit -m "some message"

Instructor

Adora Nwodo

Adora Nwodo is a platform engineering manager, author, and speaker

Adora is a platform engineering manager and award-winning software engineer working at the intersection of cloud engineering and developer platforms. She earned a computer science degree from the University of Lagos and has a strong software engineering background. She enjoys building innovative technology on the cloud. Adora is also the Founder of NexaScale (a tech non-profit) and the author of three cloud engineering books: Cloud Engineering for Beginners, Beginning Azure DevOps, and Confident Cloud.

About

This is a repo for the LinkedIn Learning course: Building Platform Guardrails for AI‑Generated Code: Reliable AI‑Assisted Development at Scale

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