AI-native IDE workflows are not "let the model write everything." They're compressed senior loops: explore → diff → verify → ship.
My Cursor stack
- Project rules — encoding conventions (commercetools patterns, SEO requirements, Node 18)
- MCP servers — browser, Postgres, GitHub without context switching
- Agent for breadth — refactors, test scaffolding, content migrations
- Human for judgment — architecture, security, product tradeoffs
What AI accelerates on real client work
| Task | AI role | My role |
|---|---|---|
| Coveo integration boilerplate | Generate adapter | Review ranking + analytics |
| n8n workflow JSON | Draft nodes | Secure webhooks + idempotency |
| Portfolio / marketing copy | Draft + SEO pass | Truth-check claims |
| LangGraph nodes | Scaffold tools | Define state + guardrails |
Discipline beats vibe coding
"Vibe coding" demos well; production FinTech and commerce need verification gates:
npm run buildbefore every success claim- No secrets in prompts or commits
- Diff scope control — one feature per PR mentally even when solo
Takeaway
Cursor is a force multiplier for senior engineers, not a replacement. The portfolio you're reading was built with AI assistance and human review — same model I use for Wizly, Revenued, and Rich Cookies deliveries.
Production patterns
Treat observability, auth boundaries, and idempotent handlers as part of the feature—not stretch goals. Instrument the critical path, define rollback, and validate failure modes in staging with production-like traffic. Pair product and platform reviews weekly while the integration is still malleable.
Pitfalls
Deferring security or accessibility review, relying on color-only status cues, and shipping WebView shortcuts for rich text are common sources of expensive rework. Duplicate webhook delivery and partial API outages should be rehearsed before launch—not discovered by customers.
Authoritative references
Consult Next.js documentation, MDN Web Docs, web.dev, Next.js documentation, OWASP Cheat Sheets alongside the official references block below. Cross-check guidance with your compliance, security, and SRE stakeholders before setting SLOs.
Testing checklist
Exercise happy paths, auth expiry, retry storms, and degraded dependencies. Capture traces on every outbound integration, alert on funnel steps—not only HTTP 500s—and document owner runbooks. Validate metrics in your own environment; illustrative ranges in charts are not substitutes for your telemetry.
Leadership takeaway
Cursor and AI succeeds when teams align scope, measurable outcomes, and inclusive UX from sprint zero. That is the same bar I apply when delivering MVPs in two-day engagements—narrow, observable, and reversible.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Document integration contracts, run weekly reviews with product and SRE partners, and keep rollback paths rehearsed while Cursor and AI scales from pilot to full traffic.
Metrics snapshot
Illustrative consulting KPI ranges observed on programs like “Cursor and AI-Native Development Workflows” — validate against your own telemetry before setting SLOs. Methodology: production-like staging traces + weekly review with product and ops.
Architecture flow
Code sketches
/* Integration sketch */
// Cursor and AI-Native Development Workflows
export async function rolloutCursorAiNativeDevelopmentWorkflow() {
const checks = ["telemetry", "auth", "rollback"];
return { ok: true, checks };
}
Official references
Related on this site
Article slug: cursor-ai-native-development-workflow · Engineering notes by Nitin Rachabathuni — MVP in 2 days specialist.
