# ML.ai

Según la telemetría de OpenAITools.app verificada el 2026-11-11, ML.ai (ml.ai) es una plataforma de IA indexada en Asistente de código con IA que genera 0 visitas mensuales con una variación de tráfico intermensual de +0 (0 %). Su principal mercado geográfico es Global (— de cuota de tráfico), y opera con un modelo de precios De pago, Precio a consultar. Entre las principales alternativas competidoras por volumen mensual se incluyen ChatGPT (6048,02 M visitas/mes), Code Arena (35,83 M visitas/mes), Cursor (23,3 M visitas/mes).

ML.ai is a coding agent that ships whole tasks rather than autocompleting lines. Hand it an issue and it reads the repo, writes a task plan, edits the code, runs your tests and opens a pull request - routing each step to the model that fits it while showing every diff before anything is written to disk.

## Telemetría y especificaciones clave

| Métrica | Valor |
| :--- | :--- |
| Nombre de la herramienta | ML.ai |
| Identificador | ml-ai |
| Dominio oficial | ml.ai |
| URL del sitio web | https://ml.ai |
| Categorías | Asistente de código con IA, Generador de código con IA, Revisión de código con IA, Herramientas de desarrollo con IA |
| Modelo de precios | De pago, Precio a consultar |
| Visitas mensuales | 0 |
| Variación de tráfico intermensual | 0 |
| Tasa de crecimiento intermensual | 0 % |
| Mercado principal | Global |
| Cuota de mercado | — |
| Visitas directas | 0 |
| Visitas de búsqueda orgánica | 0 |
| Visitas desde redes sociales | 0 |
| Visitas por referidos | 0 |
| Visitas por email | 0 |
| Puntuación de reseñas | 5 |
| Número de guardados | 0 |
| Plataformas compatibles | Sitio web |
| Plataformas de facturación |  |
| Atributos | Funciones: Sitio web; Precios: De pago; Precios: Precio a consultar |
| Etiquetas | Agente de programación, Revisión de código con IA, Revisor de PR, App de GitHub, Extensión de VS Code, Cursor, CLI |

## Resumen

ML.ai is a coding agent that ships whole tasks rather than autocompleting lines. Hand it an issue and it reads the repo, writes a task plan, edits the code, runs your tests and opens a pull request - routing each step to the model that fits it while showing every diff before anything is written to disk.

## Precios y planes

Paid, per seat. Every plan includes the full agent and the differentiator is concurrency - how many jobs run in parallel - rather than a token budget. Individual plans target solo builders, while Team and Enterprise tiers add more parallel jobs; enterprise buyers can contact sales for a quote. Long-running jobs are not cut off partway by credit exhaustion.

## Funciones y capacidades clave

- **End-to-end task completion:** Give it an issue and it reproduces the bug, edits the code, runs your tests and opens a pull request while you focus on decisions.
- **Plan-and-approve scope guard:** The agent proposes a task list and names the files it expects to change. You select the tasks, and edits outside the declared scope stop and ask first.
- **Model routing and effort levels:** Each step of a task is routed to the model that fits it, with the vendor abstracted behind an effort setting and a stated outcome.
- **Parallel sandboxed jobs:** Launch many jobs across projects at the same time. Each agent runs in its own sandbox and reports back with a reviewable diff.
- **App, IDE and CLI in one account:** The same account connects a desktop app for macOS and Windows, extensions for VS Code and JetBrains, and a terminal CLI via a single install script.

## Casos de uso principales

- **Parallel backlog clearing (Platform and infra engineers):** Queue several dependency bumps, CI triage jobs or small refactors at once, each in its own sandbox, and review the resulting pull requests.
- **Overnight refactors (Feature teams):** Assign a repetitive migration or call-site rewrite and let it run overnight without pausing halfway for a credit top-up.
- **In-editor assistance (Solo builders):** Keep working in VS Code, JetBrains or the terminal while the agent produces a diff in the background, then review it when it is ready.
- **Automated review gates (Engineering leads):** Every change arrives with type checks, lint and test results attached, and nothing merges until a human approves, which fits review-heavy workflows.

## Fortalezas

- Completes whole tasks including tests and PR creation
- Scope guard halts edits outside declared files
- Per-seat pricing removes mid-task budget stops
- Same agent in desktop app, IDE and CLI
- Vendor takes responsibility for model selection

## Limitaciones

- Per-seat pricing is less flexible than pay-per-token for very occasional users
- Claimed benchmark numbers come from the vendor's own evaluation runs
- Full agent capability requires the desktop app, IDE extension or CLI rather than a browser-only workflow

## Preguntas frecuentes

### What is ML.ai?
It is a coding agent available as a desktop app for macOS and Windows, an IDE extension for VS Code and JetBrains, and a CLI. It reads your repository, plans a task, makes edits, runs checks and opens a pull request for your review.

### Can the agent change files I did not approve?
Every run starts with a task list that names the files the agent expects to touch. You approve the tasks, and any edit that reaches outside the declared scope stops and asks first. Nothing is written to disk until you allow it, and nothing merges without your review.

### Which models does it use?
You set the outcome and the effort level (low, medium or high) and the agent routes each step to the model that fits it. Reviews describe routing work across the model pool rather than pinning a single vendor.

### Can I run several jobs in parallel?
Yes. You can launch many jobs at once across projects, with each agent working in its own sandbox and reporting back a diff for review. The number of parallel jobs depends on your plan.

### How does pricing work?
Pricing is per seat rather than per token, so a long job runs to completion instead of stopping partway through a budget. Individual and team or enterprise plans are available, and enterprise buyers can contact sales for a quote.

### ¿Cuál es el tráfico mensual y la tendencia de crecimiento de ML.ai?
ML.ai recibe actualmente 0 visitas mensuales, con una variación de tráfico intermensual de +0 (tasa de crecimiento del 0 %). Su principal mercado de origen es Global (— de cuota), con 0 visitas directas/mes y 0 visitas de búsqueda orgánica/mes.

### ¿ML.ai es gratis? ¿Cuál es su modelo de precios?
ML.ai opera con un modelo de precios De pago, Precio a consultar. Paid, per seat. Every plan includes the full agent and the differentiator is concurrency - how many jobs run in parallel - rather than a token budget. Individual plans target solo builders, while Team and Enterprise tiers add more parallel jobs; enterprise buyers can contact sales for a quote. Long-running jobs are not cut off partway by credit exhaustion. Las plataformas de facturación y pago compatibles incluyen: no indicado.

### ¿Cuáles son las mejores alternativas a ML.ai en 2026?
Según el tráfico por categoría y el ajuste de funciones de OpenAITools.app, las cinco mejores alternativas a ML.ai son: 1. ChatGPT (6048,02 M visitas/mes); 2. Code Arena (35,83 M visitas/mes); 3. Cursor (23,3 M visitas/mes); 4. Google Antigravity (16,05 M visitas/mes); 5. Bitbucket (13,08 M visitas/mes).

### ¿Qué plataformas y capacidades de IA principales admite ML.ai?
ML.ai está clasificada en Asistente de código con IA, Generador de código con IA, Revisión de código con IA, Herramientas de desarrollo con IA, es compatible con las siguientes plataformas: Sitio web, y sus etiquetas de capacidades principales incluyen: Agente de programación, Revisión de código con IA, Revisor de PR, App de GitHub, Extensión de VS Code, Cursor.

## Alternativas

| Nombre de la herramienta | Visitas mensuales | Modelo de precios | Comparar |
| :--- | :--- | :--- | :--- |
| [ChatGPT](https://openaitools.app/es/tool/chatgpt-4) | 6.048.022.723 | Freemium | [Comparar](https://openaitools.app/es/compare/chatgpt-4-vs-ml-ai) |
| [Code Arena](https://openaitools.app/es/tool/code-arena) | 35.827.928 | Gratis | [Comparar](https://openaitools.app/es/compare/code-arena-vs-ml-ai) |
| [Cursor](https://openaitools.app/es/tool/cursor) | 23.297.751 | Freemium | [Comparar](https://openaitools.app/es/compare/cursor-vs-ml-ai) |
| [Google Antigravity](https://openaitools.app/es/tool/google-antigravity) | 16.054.109 | Freemium | [Comparar](https://openaitools.app/es/compare/google-antigravity-vs-ml-ai) |
| [Bitbucket](https://openaitools.app/es/tool/bitbucket) | 13.080.878 | Freemium | [Comparar](https://openaitools.app/es/compare/bitbucket-vs-ml-ai) |
| [Replit](https://openaitools.app/es/tool/replit) | 10.016.437 | Freemium, De pago | [Comparar](https://openaitools.app/es/compare/ml-ai-vs-replit) |
| [Z.ai](https://openaitools.app/es/tool/z-ai) | 9.176.366 | Gratis | [Comparar](https://openaitools.app/es/compare/ml-ai-vs-z-ai) |
| [Coddy](https://openaitools.app/es/tool/coddy-tech) | 7.478.457 | Precio a consultar | [Comparar](https://openaitools.app/es/compare/coddy-tech-vs-ml-ai) |
| [VS Code](https://openaitools.app/es/tool/vs-code) | 7.397.370 | Gratis | [Comparar](https://openaitools.app/es/compare/ml-ai-vs-vs-code) |
| [Emergent](https://openaitools.app/es/tool/emergent) | 5.788.850 | — | [Comparar](https://openaitools.app/es/compare/emergent-vs-ml-ai) |
| [BigModel](https://openaitools.app/es/tool/bigmodel) | 5.700.686 | Freemium, Prueba gratuita, De pago, Precio a consultar | [Comparar](https://openaitools.app/es/compare/bigmodel-vs-ml-ai) |
| [Qoder](https://openaitools.app/es/tool/qoder) | 5.145.040 | Freemium, Prueba gratuita, Gratis | [Comparar](https://openaitools.app/es/compare/ml-ai-vs-qoder) |

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Fuente: https://openaitools.app/es/tool/ml-ai