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/