Curated AI tool list

Best AI Tools for Developers and ML Teams

AI tools built for engineers and machine-learning teams, from code assistance to experiment tracking and computer-vision pipelines.

  1. Amazon Q Developer

    Amazon's assistant for software development, offering code suggestions, security scans, and agentic help across IDEs and the AWS Console.

    Category
    Coding
    Audience
    Developers
    Pricing
    Freemium
  2. Cursor

    Your coding agent for building ambitious software, with autonomous agents that turn ideas into code across your desktop IDE, CLI, and more.

    Category
    Coding
    Audience
    Developers
    Pricing
    Freemium
  3. Devin Desktop

    The agent command center and code editor formerly known as Windsurf (and originally Codeium), now branded Devin Desktop by Cognition.

    Category
    Coding
    Audience
    Developers
    Pricing
    Freemium
  4. GitHub Copilot

    GitHub Copilot suggests code as you type. It reads the open file, surrounding code, and recent edits, then proposes the next line or the next function.

    Category
    Coding
    Audience
    Developers
    Pricing
    Paid
  5. Replit

    Build apps and sites with AI in the browser, with built-in authentication, database, hosting, and deployment on one platform.

    Category
    Coding
    Audience
    Developers
    Pricing
    Freemium
  6. Roboflow

    Roboflow runs the full computer-vision pipeline. Developers annotate images, train models, and deploy inference to cloud or edge — all in one platform.

    Category
    Computer Vision
    Audience
    Developers
    Pricing
    Freemium
  7. Sourcegraph Cody

    An AI coding assistant that uses current LLMs and your development context to help you understand, write, and fix code faster.

    Category
    Coding
    Audience
    Developers
    Pricing
    Enterprise
  8. Tabnine

    Smarter AI coding agents with total enterprise control, offering code completion, chat, and agentic workflows inside developer IDEs and the terminal.

    Category
    Coding
    Audience
    Developers
    Pricing
    Paid
  9. Weights & Biases

    Weights & Biases tracks machine-learning experiments. ML teams log runs, compare results, and ship the best model to production.

    Category
    MLOps
    Audience
    ML teams
    Pricing
    Freemium

FAQ

Questions about this list

Who are these AI tools for?

They target software developers and machine-learning teams building, training, or shipping technical work.

How is this collection chosen?

It lists every tool in the MLWeekly directory whose primary audience is developers or ML teams.

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