Apr 5
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AI coding agents can build entire feature sets in a single day, but what happens when your local testing maxes out your laptop's compute—or worse, your AI simply forgets to run the checks? It’s time to move to the cloud. In Episode 2 of our Agentic AI series, I show you how to upgrade our "trust but verify" pipeline by moving it to GitHub. You'll learn how Version Control Systems (VCS) protect your production code, how to automate the five layers of testing in GitHub Actions, and how to use my new Master Prompt to force your AI to build an enterprise-grade CI/CD pipeline for you. Level up your vibe coding and OpenClaw development with secure, bulletproof testing! 👇 ESSENTIAL LINKS 🔗 Free Study Guide (with the CI/CD Master Prompt): https://www.catalystgroup.solutions/blog/stop-trusting-your-ai-use-github-ci-cd-instead-study-guide 🔗 Episode 1 (Local Testing): https://youtu.be/FlaiPTj7ifA 🔗 Sign up for GitHub: https://github.com/ 🔗 Install GitHub CLI: https://cli.github.com/ 🔗 Zetherion AI (My open-source project): https://github.com/jimtin/zetherion-ai ⏱️ CHAPTERS 0:00 Introduction & Framing 0:28 Free Study Guide 0:57 Series Goal: A completely revolutionary AI-Centric Development Environment 1:25 The need for testing 1:38 The problems with local-only testing 1:45 Challenge 1: Consumes your compute power 2:07 Challenge 2: Heavily reliant on AI Memory (which isn't that reliable) 2:32 Challenge 3: Doesn't scale 2:58 What to do? Testing is Good, but Local is Bad. 3:26 The Solution: GitHub Actions CI/CD 3:41 Why you need Version Control (Git) 5:20 What Git does 6:40 GitHub - Cloud-Powered VCS 6:59 Advantage 1: Remote Code Storage 7:08 Advantage 2: Massive Team Support 7:42 Why this matters for your AI-Powered Dev Environment 8:46 Signup for GitHub 9:06 Download and Install the GitHub CLI 9:40 Authenticate GitHub CLI 10:34 One-shot master prompt to set up the rest of your GitHub CI CD Pipeline (it's amazing) 11:21 Prompt Breakdown 16:31 Up Next