# Cursor vs Devath

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Devath records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Devath](https://openaitools.app/tool/devath) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://devath.plasmic.run |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | No-Code&Low-Code, AI Copilot, AI API |
| Pricing Model | Freemium | Free |
| 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 | 3.8 |
| 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)

## Devath

Devath positions itself as an AI-powered smart-home platform aimed at the ordinary developer who wants to ship a device app without wrestling with low-level code. Traditionally, getting a single Bluetooth function to work inside a smart-home app can mean writing hundreds of lines of boilerplate; Devath replaces that with an AI copilot that takes plain-language instructions and produces the underlying app logic. Once the logic exists, the companion Devath app lets you test the behaviour on real hardware before you submit it, and a console for Android phones even lets you publish non-AI apps directly.

The platform is organised around a device and app library. Developers can see how many dependencies an app carries, how often it has been used, and can wire up autosend so programs that need device information every second keep receiving it. Encoders help other developers understand what messages your app sends and receives, and a web-based control layer means end users can operate their devices remotely. Everything runs through the installed Devath app, which is the runtime that makes the AI features work.

Devath is explicit that it is still in beta and asks for feedback to guide updates. Pricing is listed as free and unlimited, and the team also exposes an API for people who want to build their own AI apps on top of the smart-home layer. Because it is early-stage software, expect features to shift between releases, but the core promise — no-code device integration plus an AI copilot — is already usable today.

**Pricing & Plans:** Devath is listed as free and unlimited forever on its pricing section. No paid tiers are published at this time; the product is in beta.

- **AI copilot for device apps:** Describe the behaviour you want in natural language and Devath generates the Bluetooth and messaging logic instead of you hand-writing hundreds of lines.
- **No-code app publisher:** Package and publish your device app into the Devath library so other users can install and control your hardware.
- **Test before you ship:** Use the Devath app to try out your app's functionality on real devices before submitting it to the AI layer or the public library.
- **Autosend device data:** Keep programs that need device information every second supplied with automatic, continuous updates.
- **Dependency and usage insight:** See how many dependencies an app has and how often it has been used, with device-level usage tracking in development.

**Strengths:** Genuinely free with no published paid tier; Removes Bluetooth and messaging boilerplate via an AI copilot; Preview and publish flow keeps testing close to real hardware; API access lets developers extend the platform with their own AI apps

**Limitations:** Explicitly beta software, so features and interfaces change; Depends on the Devath mobile app being installed for anything to work; Small ecosystem means the app library is still limited

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Devath 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%; Devath 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. Devath: Free. Devath is listed as free and unlimited forever on its pricing section. No paid tiers are published at this time; the product is in beta.

## 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 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Emergent](https://openaitools.app/tool/emergent) | 5,788,850 | +5% | Freemium | Describe an app in chat and ship it | [.md](https://openaitools.app/tool/emergent.md) |
| 6 | [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) |
| 7 | [Framer](https://openaitools.app/tool/framer-ai) | 4,974,738 | -5.7% | Freemium | The pro website builder with a design agent on a fully editable canvas | [.md](https://openaitools.app/tool/framer-ai.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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