# ML.ai

Selon la télémétrie OpenAITools.app vérifiée le 2026-11-11, ML.ai (ml.ai) est une plateforme d'IA indexée sous Assistant de code IA générant 0 visites mensuelles avec un delta de trafic mensuel de +0 (0 %). Son marché géographique principal est Global (— de part de trafic), et elle fonctionne selon un modèle tarifaire Payant. Les principales alternatives concurrentes par volume mensuel incluent Devin (2,55 M visites/mois), Command Code (2,36 M visites/mois), Cursor (4,79 M visites/mois).

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.

## Télémétrie et spécifications clés

| Métrique | Valeur |
| :--- | :--- |
| Nom de l'outil | ML.ai |
| Identifiant | ml-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Domaine officiel | ml.ai |
| URL du site web | https://ml.ai |
| Catégories | Assistant de code IA, Générateur de code IA, Revue de code par IA, Outils de développement IA |
| Modèle tarifaire | Payant |
| Visites mensuelles | 0 |
| Variation du trafic mensuel | 0 |
| Taux de croissance mensuel | 0 % |
| Marché principal | Global |
| Part de marché | — |
| Visites directes | 0 |
| Visites de recherche organique | 0 |
| Visites sociales | 0 |
| Visites par référencement | 0 |
| Visites par e-mail | 0 |
| Score d'avis | 4,4 |
| Nombre d'enregistrements | 0 |
| Plateformes prises en charge | Site web |
| Plateformes de facturation |  |
| Attributs | Fonctionnalités: Site web; Tarification: Payant; Tarification: Tarifs sur demande |
| Étiquettes | Agent de code, Revue de code par IA, Réviseur de PR, Application GitHub, Extension VS Code, Cursor, CLI |

## Aperçu

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.

## Tarifs et offres

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.

## Fonctionnalités clés et capacités

- **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.

## Cas d'usage principaux

- **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.

## Forces

- 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

## Limites

- 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

## Questions fréquentes

### 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.

### Quel est le trafic mensuel et la tendance de croissance de ML.ai ?
ML.ai reçoit actuellement 0 visites mensuelles, avec une variation de trafic mensuelle de +0 (taux de croissance de 0 %). Son marché source principal est Global (— de part), dont 0 visites directes/mois et 0 visites de recherche organique/mois.

### ML.ai est-il gratuit ? Quel est son modèle tarifaire ?
ML.ai fonctionne selon un modèle tarifaire Payant. 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. Les plateformes de facturation et de paiement prises en charge incluent : non répertorié.

### Quelles sont les meilleures alternatives à ML.ai en 2026 ?
Sur la base du trafic de catégorie et de l'adéquation des fonctionnalités sur OpenAITools.app, les cinq principales alternatives à ML.ai sont : 1. Devin (2,55 M visites/mois); 2. Command Code (2,36 M visites/mois); 3. Cursor (4,79 M visites/mois); 4. GitLoop (9,5 k visites/mois); 5. Macroscope (106,17 k visites/mois).

### Quelles plateformes et capacités d'IA principales ML.ai prend-il en charge ?
ML.ai est classé sous Assistant de code IA, Générateur de code IA, Revue de code par IA, Outils de développement IA, prend en charge les plateformes suivantes : Site web, et ses étiquettes de capacités principales incluent : Agent de code, Revue de code par IA, Réviseur de PR, Application GitHub, Extension VS Code, Cursor.

## Alternatives

| Nom de l'outil | Visites mensuelles | Modèle tarifaire | Comparer |
| :--- | :--- | :--- | :--- |
| [Devin](https://openaitools.app/fr/tool/devin) | 2 549 346 | Payant | [Comparer](https://openaitools.app/fr/compare/devin-vs-ml-ai) |
| [Command Code](https://openaitools.app/fr/tool/command-code) | 2 358 177 | Freemium, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/command-code-vs-ml-ai) |
| [Cursor](https://openaitools.app/fr/tool/cursor-sh) | 4 790 129 | Freemium | [Comparer](https://openaitools.app/fr/compare/cursor-sh-vs-ml-ai) |
| [GitLoop](https://openaitools.app/fr/tool/gitloop) | 9 501 | Freemium | [Comparer](https://openaitools.app/fr/compare/gitloop-vs-ml-ai) |
| [Macroscope](https://openaitools.app/fr/tool/macroscope) | 106 170 | Essai gratuit, Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/macroscope-vs-ml-ai) |
| [Augment Code](https://openaitools.app/fr/tool/augment-code) | 326 215 | Freemium, Essai gratuit, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/augment-code-vs-ml-ai) |
| [Kiro](https://openaitools.app/fr/tool/kiro) | 3 330 476 | Freemium | [Comparer](https://openaitools.app/fr/compare/kiro-vs-ml-ai) |
| [Trae](https://openaitools.app/fr/tool/trae) | 702 366 | Freemium | [Comparer](https://openaitools.app/fr/compare/ml-ai-vs-trae) |
| [Bito](https://openaitools.app/fr/tool/bito) | 63 829 | Freemium, Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/bito-vs-ml-ai) |
| [CodeMate AI](https://openaitools.app/fr/tool/codemate-ai) | 14 189 | Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/codemate-ai-vs-ml-ai) |
| [CodeReviewBot.AI](https://openaitools.app/fr/tool/codereviewbot-ai) | 2 515 | Freemium, Essai gratuit, Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/codereviewbot-ai-vs-ml-ai) |
| [Orca](https://openaitools.app/fr/tool/orca) | 1 025 891 | Free, Open Source, Enterprise on request | [Comparer](https://openaitools.app/fr/compare/ml-ai-vs-orca) |

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Source : https://openaitools.app/fr/tool/ml-ai