Jan 16
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In this video, I build and test a complete AI-enhanced CI/CD pipeline on AWS, combining intelligent coding assistance, automated security scanning, and AI-powered monitoring in a real-world DevSecOps workflow. We start with a modern React + Tailwind SaaS landing page, then integrate: • Amazon Q as an AI coding assistant inside the IDE • Amazon Inspector Code Security to detect vulnerable code before deployment • Amazon DevOps Guru to monitor the application with AI-driven insights 🚀 What you’ll learn: • How to integrate AI into development workflows with Amazon Q • How Amazon Inspector Code Security scans code and dependencies • How CI/CD pipelines can automatically block vulnerabilities • How Amazon DevOps Guru provides AI-powered operational monitoring • How AI enhances software development, security, and reliability 👉 Part 1 - Building the Foundational CI/CD Pipeline: https://youtu.be/1k6s4shjpRc 📂 GitHub repo: https://github.com/julien-muke/aws-ai-enhanced-ci-cd-pipeline If you’re learning AWS, DevOps, or cloud security, this project shows exactly how AI is being used in real engineering teams. 👍 Like the video 🔔 Subscribe for more AWS & DevOps projects 💬 Comment what you’d like to see next! ✍️ Medium: https://medium.com/@julien.muke | 🔗 LinkedIn: https://www.linkedin.com/in/julien-muke/ | 🐙 GitHub: https://github.com/julien-muke 📺 Chapters 00:00 - Introduction 01:59 - Architecture Overview 05:03 - How to enable Amazon Inspector Code Security Scan 11:43 - How to integrate Code Security Scan into the CI/CD pipeline to block vulnerabilities automatically 14:45 - How to integrate AI into development workflows with Amazon Q 17:49 - How Amazon DevOps Guru provides AI-powered operational monitoring 20:19 - Test the AI-Enhanced CI/CD pipeline with Amazon Inspector #aws #devsecops #cicd #aisecurity #amazonq #aimonitoring #cloudsecurity #devops