Best On-Premise AI Copilots

Cody is an AI coding assistant, living in your editor to help you find, fix, and write new code without the day-to-day toil. The job of a developer gets more complex every day, and Cody uses the best language models, plus the best codebase context, to help reduce that complexity and toilsome work with AI. Cody helps developers focus deeply on the most fun parts of the job: designing and shipping solutions

Codeium is a free AI-powered coding assistant that accelerates development by providing intelligent code autocompletion in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Codeium, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Codeium understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Codeium is your go-to solution for boosting productivity and writing better code. Try Codeium for free today and experience the future of AI-powered coding!

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, Python, Java, PHP, Go, and more.

A state-of-the-art AI that builds better software, cheaper and faster. K.Explorer is an AI powered Code Assistant trained on many millions of private corporate lines of code, for specific domains, and on billions of public and open-source lines of code for general purposes. Its code auto-completion features suggest code completions and entire function bodies as you type or as you search the engine for help. To make development faster and more agile it even supports Natural Language for programmers to get guidance while telling a text story about the code they want to write.

Pieces™ is an on-device AI coding assistant that boosts developer productivity by helping you solve complex development tasks through a contextual understanding of your entire workflow. Leverage real-time context from all of your tools to ask questions about your daily interactions, capture important information, explain concepts or entire repositories, and generate ready-to-use code. Pieces works right in-flow, seamlessly integrating with your favorite tools to streamline, understand, and elevate your coding processes.

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.