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 Git webhook / schedule starts flow Clone latest code Trigger Windsurf build + test (lint, unit tests, model eval) If tests pass → build Docker image Push image to registry Deploy to target (Vercel / Render / Railway / Fly.io / K8s) 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 Import workflow Connect credentials (Git, Windsurf, Docker, Deploy target, Slack) Configure Set node: repo URL, branch, Windsurf profile, deploy target Test manually first Activate webhook → push code to trigger Monitor & tune failure branches

Contact / support: https://www.oneclickitsolution.com/contact-us/