How I Ship AI Code Without Breaking Production
I add a real feature to my live app https://animeleak.com and users wanted an image toggle to compare original vs processed images. We go from idea to production deployment using a branch-based workflow that keeps your main branch safe while you test AI-generated code. This is Part 1 of my Ship Smart series covering how I actually ship software when constantly juggling multiple projects. THE WORKFLOW Create a feature branch (never touch main directly), use Cursor's agent to plan and build, test in preview environment, then merge to production. If the AI generates garbage code, production stays safe. TOOLS USED - Git Tower https://rfer.me/gittower (visual Git client, free alternatives: SourceTree, GitKraken) - Cursor with Sonnet 4.5 (extended thinking mode for accuracy) - Vercel (auto-deploys preview and production) - GitHub (version control + pull requests) - Cursor BugBot ($40/month for automated code reviews) GET STARTED - Try Cursor: https://cursor.com - AnimeLeak App: https://animeleak.com - 1-1 AI Shipping Mentorship (December): https://startmy.ai KEY MOMENTS 00:00 Introduction to Ship Smart workflow 01:35 Rule one: never touch main branch directly 03:10 Using Cursor agent in plan mode with Sonnet 4.5 05:46 Why reading the AI plan matters before building 08:10 Testing AI-generated code locally 09:41 Cursor's Git integration for staging and commits 11:30 Vercel auto-deploys preview from feature branch 14:27 Creating pull request in GitHub 15:33 Cursor BugBot automated code review 17:46 Merging to production 18:46 Feature live on production site 20:20 Complete workflow recap CONNECT WITH RAY X (Twitter): https://x.com/RayFernando1337 #Git #Cursor #AIcoding #SoftwareEngineering #Vercel #ShipSmart #RayFernando #NextJS
