Build, test and deploy AI projects with Windsurf CI/CD and Vercel

This is a conceptual / starter workflow that triggers on git events (or schedule), runs Windsurf-powered build & test steps (via API or CLI wrapper), builds Docker if needed, pushes to registry, deploys to a target platform (e.g. Vercel / Render example), and notifies. What’s the Goal? Provide a no/low-code CI/CD pipeline for AI projects using Windsurf’s AI coding & deployment capabilities inside n8n — no external GitHub Actions / Jenkins needed. Why Does It Matter? AI projects evolve rapidly → manual deploy is slow & error-prone. Windsurf + n8n keeps model code, keys & inference private while automating quality gates & deployments. How It Works 1. Git webhook / schedule starts flow 2. Clone latest code 3. Trigger Windsurf build + test (lint, unit tests, model eval) 4. If tests pass → build Docker image 5. Push image to registry 6. Deploy to target (Vercel / Render / Railway / Fly.io / K8s) 7. Notify success / failure Configuration Requirements - Git provider webhook / token - Windsurf API key or self-hosted runner access - Docker registry credentials - Deployment target token (Vercel / Render / etc.) - Notification (Slack / Email) Setup Guide 1. Import workflow 2. Connect credentials (Git, Windsurf, Docker, Deploy target, Slack) 3. Configure Set node: repo URL, branch, Windsurf profile, deploy target 4. Test manually first 5. Activate webhook → push code to trigger 6. Monitor & tune failure branches Contact / support: https://www.oneclickitsolution.com/contact-us/