ML.ai

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About This Site

ML.ai is an AI coding agent for VS Code, Cursor, desktop and your pull requests. It routes each step to the most cost-efficient model and shows every diff first. ML.ai is an AI coding agent that goes where your code goes. Use it inside VS Code and Cursor, in its own desktop app with no IDE required, from the terminal, or as a PR Reviewer that checks every pull request. Every surface runs on the same engine, with the same settings and the same memory of your repo. Most coding agents send every step to the same expensive frontier model. ML.ai hands each step to a focused agent and picks the most cost-efficient model that meets your quality bar, which typically cuts model spend by 30 to 45% on the same work. Explore reads and explains the codebase. Architect and Plan map the files, order of work and trade-offs. Only General can change code, and every edit or command waits for you to Allow or Deny it. The PR Reviewer summarizes each pull request, leaves line-level comments, and runs builds and tests before it recommends approve or request changes. It never merges on its own. Also included: reusable skills, background runs, MCP server support, a command safety classifier, and an access token that stays on your machine. ML.ai is a product of Pixis.ai, backed by SoftBank Vision Fund and General Atlantic.

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Key Features AI

Core Features
Four surfaces, one agent - IDE extension, desktop app, PR Reviewer and CLI share one engine, settings and repo memory.
Cost-aware model routing - Each step goes to the cheapest model that clears your quality bar, typically 30 to 45% lower spend.
Four focused agents - Explore, Architect, Plan and General. Only General can change code.
Diff-first approvals - Every edit and shell command waits for Allow or Deny.
Background runs - Tasks keep going after you close the panel or the app.
Skills and MCP - Reusable skills and MCP server support for your own tools and data.
Command safety classifier - Parses shell commands before they run and flags risky ones.
Advantages
Can carry software tasks through code changes, testing, and pull-request creation
Provides reviewable diffs and approval controls before changes are written
Automatically selects models for different task steps
Plans offer parallel-job limits rather than a visible token budget
Works across desktop, web, IDE, terminal, and GitHub workflows
Supports scheduled routines and reusable team coding standards
缺点:The product is described as being in private beta, India first
缺点:Individual plan prices are private-beta launch pricing and may change at general availability
缺点:Fair-use and concurrency rules apply
缺点:ML.ai Inference pricing is not listed and requires a conversation with the team
缺点:Team and Enterprise pricing or deployment details require a commitment or sales contact

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