Compare / Cursor vs Stack AI
Head-to-head
Cursor vs Stack AI.
Side-by-side on ratings, pricing, pros, cons, and the honest take on which to pick. Cross-category comparison: Cursor is a coding agent and Stack AI is a ai application builder.
| Cursor | Stack AI | |
|---|---|---|
| Rating | 4.0 / 5 | 3.5 / 5 |
| Category | Coding Agent | AI application builder |
| Tech level | developer | low code |
| Open source | No | No |
| Pricing | Hobby (free): 2k completions/month, 50 slow requests/month. Pro $20/month — the most common tier. Pro+ $60/month. Ultra $200/month. Teams $40/user/month with usage scaling. June 2025 pricing pivot replaced fixed fast-request quotas with a $20 credit pool, cutting effective monthly fast requests by ~55%. | Freemium. Team plans from $199/month. |
| Best for | Builders who want an IDE-first AI experience and the ability to switch between Claude, GPT, and Gemini mid-session. Strong for rapid prototyping, exploration of unfamiliar codebases, and active development sessions where short feedback loops matter more than autonomous agentic work. | Ops teams who want AI agents over their internal documents — SOPs, contracts, product specs, Notion wikis. |
| Not for | Teams committed to JetBrains, Vim, or any non-VS Code editor. Anyone who wants CLI-first or terminal-first agentic workflows (Claude Code or Aider fit better). Operators sensitive to SaaS pricing changes — the June 2025 pivot is a real signal. High-volume daily users for whom direct API costs would be cheaper than Cursor's credit pool. | External-facing automations or multi-step process workflows — n8n handles those better for most teams. |
Our verdict on Cursor
The most-used AI coding IDE in 2026 — $2B annualised revenue, 360k paying users. Multi-model flexibility (Claude, GPT, Gemini in one session) is a real edge. Tab completion is best-in-class. The June 2025 pricing change burned early adopters and trust hasn't fully recovered; for cost-sensitive builders, Cline at BYOK with Claude Sonnet often comes out cheaper for the same workflow.
Full Cursor review →Our verdict on Stack AI
Best for internal knowledge base and document Q&A agents. Handles SOPs, contracts, and Notion wikis well. Strong in its lane, expensive outside it.
Full Stack AI review →Cursor
What works
- Multi-model — switch between Claude, GPT, and Gemini in the same session (genuinely unique in the category)
- Tab completion is best-in-class — predicts multi-file edits, not just next-line
- Familiar VS Code experience reduces onboarding friction to near-zero
- Largest paying customer base on this list (360k), validates product-market fit
- Active product development — agent mode, model selector, and codebase chat ship updates weekly
- Codebase-aware semantic search beats raw grep for navigating unfamiliar repos
- Cmd+K in-line edit is the fastest targeted-change interaction in any coding tool
What doesn't
- VS Code lock-in — no JetBrains, no Vim, no terminal-first workflows
- June 2025 pricing pivot cut effective fast requests ~55% without clear notice
- Agent mode can make large unreviewable multi-file edits — needs branch-and-commit discipline
- Performance lag on very large projects vs vanilla VS Code (and vs Augment Code at the enterprise-codebase end)
- Opaque usage meter — hard to track credit consumption against the $20 pool in real time
- For high-volume daily users, direct Claude API via Cline often comes out cheaper than the Cursor subscription
Stack AI
What works
- Best-in-class document ingestion and RAG pipeline
- Strong enterprise data connectors (Notion, Confluence, Google Drive)
- SOC 2 compliant
- Good UI for non-technical configuration
What doesn't
- Expensive at team scale ($199+/month)
- Limited flexibility for multi-step process automation
- Weaker for external-facing or trigger-based workflows
Which to pick
We'd default to Cursor (4.0/5 vs 3.5/5) for most builders. Pick Stack AI if you fit its best-for case specifically: ops teams who want ai agents over their internal documents — sops, contracts, product specs, notion wikis.
Honest middle: most serious operators end up using more than one tool. If you're early in your AI agent journey, our five-question picker recommends a starting platform from your specific situation.
Common questions
Cursor vs Stack AI — which should I pick?
We rate Cursor 4.0/5 vs 3.5/5 for Stack AI. Cursor wins for builders who want an ide-first ai experience and the ability to switch between claude, gpt, and gemini mid-session. strong for rapid prototyping, exploration of unfamiliar codebases, and active development sessions where short feedback loops matter more than autonomous agentic work. — but pick Stack AI if you fit its specific best-for case (Ops teams who want AI agents over their internal documents — SOPs, contracts, product specs, Notion wikis.). See the head-to-head table above for the full breakdown.
Is Cursor or Stack AI cheaper?
Cursor's pricing: Hobby (free): 2k completions/month, 50 slow requests/month. Pro $20/month — the most common tier. Pro+ $60/month. Ultra $200/month. Teams $40/user/month with usage scaling. June 2025 pricing pivot replaced fixed fast-request quotas with a $20 credit pool, cutting effective monthly fast requests by ~55%. Stack AI's pricing: Freemium. Team plans from $199/month. The right "cheaper" pick depends on usage volume and what's included — see the pricing row in the table above.
What's Cursor best for?
Builders who want an IDE-first AI experience and the ability to switch between Claude, GPT, and Gemini mid-session. Strong for rapid prototyping, exploration of unfamiliar codebases, and active development sessions where short feedback loops matter more than autonomous agentic work.
What's Stack AI best for?
Ops teams who want AI agents over their internal documents — SOPs, contracts, product specs, Notion wikis.
Why compare Cursor and Stack AI if they're different categories?
Cursor is a coding agent and Stack AI is a ai application builder. The comparison still matters because builders evaluating one often consider the other for adjacent jobs. See the recommendation section above for how to think about the cross-category choice.
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