neww.ai vs Cursor

AI code editor. Excellent IDE integration; narrow to code, with no platform around the rest of a knowledge worker's day.

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Where neww.ai wins

Why teams pick neww.ai

  • Code is one product—real estate, finance, ops, marketing also live here
  • Long-running autonomous coding agents with persistent shells
  • Workspace tree (runs/artifacts/deployments/settings) tied to the broader OS
  • Branded shell + neww CLI + cloud runtime, not just a desktop app
  • Same auth, billing, audit, and skills layer across every product
Where Cursor wins

Cursor's strengths

  • Best-in-class IDE inline editing experience
  • Tight Composer + tab autocomplete loop
  • Mature local-first developer ergonomics

Frequently asked

How is neww.ai different from Cursor?
AI code editor. Excellent IDE integration; narrow to code, with no platform around the rest of a knowledge worker's day. neww.ai is a 30-product AI operating system: agents, search, finance, real-estate, code, CRM, and more — all citation-attached, tenant-scoped, and unified by one router.
Can I bring my own Cursor keys to neww.ai?
Yes. neww.ai's AI router supports BYO-keys for OpenAI, Anthropic, Google, Groq, and more — so you can use Cursor-class models alongside our domain experts and skills.
Why pick neww.ai over Cursor for vertical work?
Cursor is excellent at what it does, but neww.ai ships purpose-built engines per vertical (real-estate, finance, code, marketing) with dedicated rankers, connectors, and approvals. You get domain depth, not just a smarter chatbot.
Does neww.ai support enterprise auth and audit?
Yes. Hybrid Firebase Auth + NextAuth, Cloud SQL source of truth, full audit trails, approvals, and tenant isolation are built in — so security review on neww.ai is straightforward, regardless of which model provider sits behind it.
How do I try neww.ai vs Cursor?
Start with the free plan at /register?plan=free. You can run side-by-side comparisons against Cursor-class models from inside the workspace, then upgrade once you've seen the difference on your own data.