# Cursor vs Skaftor

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Skaftor records 0 monthly visits with 0% growth and Paid, Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Skaftor](https://openaitools.app/tool/skaftor) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://skaftor.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Workflow, AI Agent, AI Developer Tools, AI Project Management |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## Skaftor

Skaftor targets the gap that opens up once AI agents write most of the code: requirements live in a document, decisions live in chat threads, and approvals live in someone's head. The platform takes a product requirements document and turns it into accept/reject requirements with acceptance criteria, a technical design tied to each requirement, and work orders each sized to roughly one pull request and mapped to the repository it changes.

Agents then build those work orders. You can run Claude Code, Codex, Gemini or DeepSeek on a managed cloud workstation with pricing shown before the run starts, or keep your own editor and wire in context over MCP (for example Cursor). Every run is metered against per-run and per-month budget caps.

Governance is the second half of the product. A gate reads each pull request against its acceptance criteria and names the evidence; CI can block, the clause check can block, and an AI review advises. Named roles approve each stage and approvals are written to an append-only audit trail, so an auditor can reconstruct how a change reached production. Skaftor integrates with GitHub, GitLab and Bitbucket as well as Jira, Linear, Notion, Confluence, Google Docs, SharePoint, AWS, Google Cloud and Azure.

**Pricing & Plans:** Skaftor is positioned as a paid enterprise platform (listed as Paid / contact for pricing). Agent runs are billed against your own AI keys with per-run and per-month budget caps, and the site states that runs are priced before they start. Exact plan tiers are not published on the public site — teams should contact Skaftor for a quote.

- **Requirements & design generation:** Drop in a PRD; Skaftor surfaces open questions, drafts requirements with acceptance criteria you include or exclude line by line, and generates a technical design section by section, each tied to the requirements it covers.
- **Work order orchestration:** Work is split into pull-request-sized work orders, each carrying its repository, branch, service and acceptance criteria, ordered by dependency and confirmed by a human before an agent starts.
- **Multi-agent build on cloud or local:** Run Claude Code, Codex, Gemini or DeepSeek on a fresh Skaftor Cloud workstation, or use your own editor with context wired in over MCP, with cost visible as the run proceeds.
- **Gates and evidence:** CI and a clause check read each pull request against its acceptance criteria and can block a merge, while an AI review advises with a score and findings. Deployment gates are proposed from your own code and set per stage.
- **Organizational memory & audit trail:** The why stays attached to the code — requirement, design decision, pull request and approver — while an append-only audit trail records named-role approvals, RBAC, SSO/SAML, SCIM and cost visibility.

**Strengths:** Covers the whole AI-native delivery loop from PRD to canary deploy rather than one step; Gate evidence is tied to acceptance criteria, so 'done' is defined rather than asserted; Works with popular agents (Claude Code, Codex, Gemini, DeepSeek) and mainstream repos (GitHub, GitLab, Bitbucket); Append-only audit trail, RBAC and SSO/SAML/SCIM make it credible for regulated environments

**Limitations:** Aimed at teams; there is no obvious lightweight free tier for individuals; Setup and governance configuration are heavier than a single-purpose coding assistant; Public pricing tiers are not published, so costs require a sales conversation

[Profile (Markdown)](https://openaitools.app/tool/skaftor.md)

## Frequently Asked Questions

### How do Cursor and Skaftor compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Skaftor has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Skaftor has 0%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Skaftor: Paid, Contact for Pricing. Skaftor is positioned as a paid enterprise platform (listed as Paid / contact for pricing). Agent runs are billed against your own AI keys with per-run and per-month budget caps, and the site states that runs are priced before they start. Exact plan tiers are not published on the public site — teams should contact Skaftor for a quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |

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Source: https://openaitools.app/compare/cursor-vs-skaftor

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