Software Alternatives, Accelerators & Startups

The Best GitHub Copilot Alternatives for Developers

GitHub Copilot Codeium CodeGeeX TabNine Amazon CodeWhisperer AskCodi
  1. Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
    Moreover, GitHub Copilot provides a wide range of functionalities, such as code explanation, answering coding questions, refactoring code, and generation of unit tests and docs. With it, developers can automate coding tasks, improve productivity and focus more on complex coding. GitHub Copilot supports various programming languages, including JavaScript, Python, Ruby, Go, etc., and is compatible with popular integrated development environments (IDEs) such as Visual Studio Code (VS Code). It means developers can integrate Copilot seamlessly into their preferred tech stack.

    #Developer Tools #Coding #Code Autocomplete 250 social mentions

  2. Free AI-powered code completion for *everyone*, *everywhere*
    Pricing:
    • Open Source
    Another notable feature of Codeium is context pinning. It allows developers to pin any scope of code, such as a repository, a file, or a function, so Codeium takes the code in that section more seriously when generating responses. Developers can apply this feature once and save it while they work, enhancing accuracy in coding tasks. Codeium is capable of meeting a variety of programming needs, relying on a rich set of other features.

    #AI #Developer Tools #Code Autocomplete 37 social mentions

  3. CodeGeeX: An Open Multilingual Code Generation Model
    Unlike Copilot, which is powered by OpenAI Codex, CodeGeeX trains its AI on a cluster of Ascend 910 AI processors to power its software. This allows CodeGeeX to handle large-scale training tasks more effectively, resulting in improved user performance and responsiveness. The main features of CodeGeeX are:

    #Programming #Developer Tools #Code Autocomplete

  4. TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
    Pricing:
    • Open Source
    Also, TabNine does not train on your code unless you choose to connect your codebase. When connecting your codebase to TabNine, your code never leaves your environment and remains completely private. Overall, it is designed to boost developer productivity and improve code quality by automating repetitive coding tasks. This is possible due to various features that TabNine brings to developers.

    #Programming #Programming Tools #Code Autocomplete 3 social mentions

  5. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE).
    Pricing:
    • Open Source
    CodeWhisperer is an AI code generator tool launched by Amazon Web Services (AWS) in 2022. It was based on large language models (LLMs) and trained on a billion lines of code from open-source repositories, internal Amazon repositories, API docs, and forums. Using ML and AI algorithms, CodeWhisperer analyzes code in real-time and generates suggestions from snippets to full functions based on comments or existing code. It provides developers with highly accurate and personalized recommendations on how to optimize code for performance, security, and maintainability, speeding up development.

    #Developer Tools #Coding #Code Autocomplete 23 social mentions

  6. Your very own Personal AI code assistant, ask him anything
    AskCodi leverages advanced ML algorithms, and AI models trained on vast repositories of code and programming knowledge. By continuously learning and adapting to developers’ coding patterns and preferences, AskCodi provides increasingly accurate and relevant suggestions. Developers can access AskCodi via either a web application or an IDE extension available for Visual Studio Code, Visual Studio, and JetBrains IDE’s. Overall, AskCodi cuts developers’ time and effort by automating repetitive tasks and reducing errors in code.

    #Productivity #Data Science And Machine Learning #AI

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