ML.ai
What is ML.ai?
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.
ML.ai's 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.
ML.ai's Use Cases
Ship features faster - Plan and implement a change across many files, then approve it diff by diff.
Review every pull request - Get a first-pass review with tests run before a human reviewer looks.
Understand an unfamiliar codebase - Ask Explore how a module works and where to make a change.
Cut AI coding spend - Keep frontier-model quality where it matters and route the rest to cheaper models
Automate in CI - Run reviews and routine fixes from the CLI in your pipeline.
FAQ from ML.ai
1. What is ML.ai?
2. What can ML.ai help developers with?
3. Does ML.ai use AI agents for software development?
4. Can ML.ai work with existing codebases?
5. Can ML.ai run tests and validate code changes?
6. Does ML.ai support multiple AI models?
ML.ai Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://ml.ai/contact)
ML.ai Company
ML.ai Company name: ML.ai (a product by Pixis) .
ML.ai Company address: .
More about ML.ai, Please visit the about us page().
ML.ai Login
ML.ai Login Link: https://pixis-code.ml.ai/auth/sign-in
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ML.ai Facebook Link: https://www.facebook.com/profile.php?id=61594765947076
ML.ai Youtube
ML.ai Youtube Link: https://www.youtube.com/channel/UC_n09xwLoVgFZzXGm4TDUsQ
ML.ai Linkedin
ML.ai Linkedin Link: https://www.linkedin.com/showcase/mlai-infinite/home/
ML.ai Twitter
ML.ai Twitter Link: https://x.com/ML_ai_
ML.ai Instagram
ML.ai Instagram Link: https://www.instagram.com/ml.ai123/
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