Vibe Coding: Secure App Development Fundamentals

Vibe Coding: Secure App Development Fundamentals
Published 6/2026
Created by Trevoir Williams
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 84 Lectures ( 4h 31m ) | Size: 2.9 GB
Use AI coding tools safely, catch common vulnerabilities, and ship apps with confidence
What you'll learn
Review AI-generated code for common security risks before accepting it into a .NET application.
Apply safer coding patterns for input validation, data access, authentication, and authorization.
Protect secrets, review dependencies, and reduce supply chain risks in AI-assisted projects.
Use testing, scanning, and a secure shipping checklist to harden code before deployment.
Requirements
Basic C# knowledge and familiarity with reading, running, and editing .NET code.
Basic understanding of web APIs, HTTP requests, and application development concepts.
A computer with .NET installed and Visual Studio, VS Code, or Rider.
Access to an AI coding assistant such as GitHub Copilot, ᑕᕼᗩTGᑭT, or a similar tool is helpful but not required.​

No advanced cybersecurity or penetration testing experience is required.
Description
AI coding tools can help you build faster, but they can also help you ship insecure code faster if you trust the generated output too quickly. This course is designed for developers, not security specialists. It focuses on the practical fundamentals that every fast-moving builder should understand when using AI tools to generate code and accelerate delivery.
Vibe Coding: Secure App Development Fundamentals is a practical course for modern developers who want to move quickly with AI-assisted workflows without compromising application security. In this course, you will learn how to review AI-generated code critically, recognize common vulnerability patterns, and apply safer development practices before code reaches production.
Using hands-on examples in.NETusingGitHub Copilot, you will explore the security risks that often appear in generated code, including weak input handling, insecure authentication assumptions, access control, exposed secrets, risky dependencies, and unsafe defaults. You will also learn how to use lightweight scanning and AI-assisted review techniques to catch issues early and improve generated code before deployment.
By the end of the course, you will be able to build faster with AI while following a more secure, repeatable development workflow.
What You'll Learn
Understand the main security risks in AI-assisted application development
Recognize insecure patterns in AI-generated code before accepting them
Apply safer input validation and data handling patterns
Review authentication and authorization logic for common mistakes
Avoid exposing secrets and reduce dependency-related risk
Use lightweight security checks before deployment
Build a personal secure development checklist for rapid coding workflows
Who this course is for
.NET developers building APIs, internal tools, business applications, or backend services with C# and ASP.NET Core.
Developers, software engineers, and technical builders who use AI coding tools to generate or accelerate application development
Homepage

You do not have permission to view the full content of this post. Log in or register now.

You do not have permission to view the full content of this post. Log in or register now.