Best On-Premises AI Coding Assistants of 2025

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support both individual developers and teams, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.

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, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.

Bolt.new is an innovative web development tool powered by AI, enabling users to create, run, modify, and deploy comprehensive applications straight from their browsers without any local installation necessary. This platform also supports package installation, backend operation, and code editing capabilities. Designed to cater to a wide range of users—including seasoned developers, project managers, and designers—Bolt.new simplifies the process of building high-quality, full-stack applications. Getting started with Bolt.new comes at no cost, and for those seeking additional AI tokens or wishing to work on private projects, a paid subscription is available for purchase within the settings located at the bottom left corner of the application. Additionally, the user-friendly interface makes it accessible for anyone looking to enhance their development experience.

K.Explorer is an AI system that creates better software faster, cheaper, and more efficiently. A coding assistant that increases developer productivity. An AI pair programmer that suggests code completions and complete function bodies as you type. You can also search the engine for help. It is an AI-powered Code Assistant that has been trained on millions of lines of code from private corporations, as well as billions of lines of open-source code for general purposes. Natural Language allows programmers to receive guidance and tell a text story about what code they are writing.

Introducing CodeGeeX, a powerful multilingual code generation model boasting 13 billion parameters, which has been pre-trained on an extensive code corpus covering over 20 programming languages. Leveraging the capabilities of CodeGeeX, we have created a VS Code extension (search 'CodeGeeX' in the Extension Marketplace) designed to support programming in various languages. In addition to its proficiency in multilingual code generation and translation, CodeGeeX can serve as a personalized programming assistant through its few-shot learning capability. This means that by providing a handful of examples as prompts, CodeGeeX can mimic the showcased patterns and produce code that aligns with those examples. This functionality enables the implementation of exciting features such as code explanation, summarization, and generation tailored to specific coding styles. For instance, users can input code snippets reflecting their unique style, and CodeGeeX will generate similar code accordingly. Moreover, experimenting with different prompt formats can further inspire CodeGeeX to develop new coding skills and enhance its versatility. Thus, CodeGeeX stands out as a versatile tool for developers looking to streamline their coding processes.

DeepSeek Coder is an innovative software solution poised to transform the realm of data analysis and programming. By harnessing state-of-the-art machine learning techniques and natural language processing, it allows users to effortlessly incorporate data querying, analysis, and visualization into their daily tasks. The user-friendly interface caters to both beginners and seasoned developers, making the writing, testing, and optimization of code a straightforward process. Among its impressive features are real-time syntax validation, smart code suggestions, and thorough debugging capabilities, all aimed at enhancing productivity in coding. Furthermore, DeepSeek Coder’s proficiency in deciphering intricate data sets enables users to extract valuable insights and develop advanced data-centric applications with confidence. Ultimately, its combination of powerful tools and ease of use positions DeepSeek Coder as an essential asset for anyone engaged in data-driven projects.

Goose, also referred to as codename goose, is an open-source AI agent that operates locally on machines, designed to facilitate the automation of engineering tasks within a terminal or integrated development environment (IDE). By efficiently performing functions such as code creation, debugging, and deployment, it allows developers to shift their focus towards more complex problem-solving activities. Its flexible architecture supports customization with various large language models (LLMs) and the integration of external APIs, which broadens its functionality to meet the unique demands of different projects. By taking on intricate tasks autonomously, Goose simplifies the development workflow, thereby enhancing overall productivity and minimizing the need for manual intervention. Users have expressed appreciation for Goose's capabilities in managing responsibilities like dependency updates, test execution, and code migration automation, underscoring its usefulness in practical scenarios. Furthermore, as the landscape of software development evolves, tools like Goose are becoming increasingly vital for maintaining efficiency in a fast-paced environment.

SuperAGI SuperCoder is an innovative open-source autonomous platform that merges an AI-driven development environment with AI agents, facilitating fully autonomous software creation, beginning with the Python language and its frameworks. The latest iteration, SuperCoder 2.0, utilizes large language models and a Large Action Model (LAM) that has been specially fine-tuned for Python code generation, achieving remarkable accuracy in one-shot or few-shot coding scenarios, surpassing benchmarks like SWE-bench and Codebench. As a self-sufficient system, SuperCoder 2.0 incorporates tailored software guardrails specific to development frameworks, initially focusing on Flask and Django, while also utilizing SuperAGI’s Generally Intelligent Developer Agents to construct intricate real-world software solutions. Moreover, SuperCoder 2.0 offers deep integration with popular tools in the developer ecosystem, including Jira, GitHub or GitLab, Jenkins, and cloud-based QA solutions like BrowserStack and Selenium, ensuring a streamlined and efficient software development process. By combining cutting-edge technology with practical software engineering needs, SuperCoder 2.0 aims to redefine the landscape of automated software development.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.

Datalore is a platform for collaborative data science and analytics that aims to improve the entire analytics workflow and make working with data more enjoyable for both data scientists as well as data-savvy business teams. Datalore is a collaborative platform that focuses on data teams workflow. It offers technical-savvy business users the opportunity to work with data teams using no-code and low-code, as well as the power of Jupyter Notebooks. Datalore allows business users to perform analytic self-service. They can work with data using SQL or no-code cells, create reports, and dive deep into data. It allows core data teams to focus on simpler tasks. Datalore allows data scientists and analysts to share their results with ML Engineers. You can share your code with ML Engineers on powerful CPUs and GPUs, and you can collaborate with your colleagues in real time.

Refact.ai is an advanced AI-powered assistant that integrates directly into your IDE, offering intelligent code completion, real-time code suggestions, and automatic refactoring to streamline the coding process. By using the AI model trained on your codebase, Refact.ai adapts to your team's style, providing highly relevant recommendations to enhance productivity. Developers can also fine-tune the assistant to better suit their unique requirements, making it a powerful tool for personalized coding assistance. With support for all major IDEs and secure on-premise deployment, Refact.ai empowers developers to increase code quality, reduce time spent on manual tasks, and achieve faster results.

Tabby is a self-hosted, open-source AI coding assistant that aims to improve your development workflow by offering intelligent code completion, real-time suggestions, and smooth integration with your preferred integrated development environment (IDE). You can deploy Tabby on your own servers, which gives you the advantage of security and control over your codebase. It is compatible with major coding large language models (LLMs) such as CodeLlama, StarCoder, and CodeGen, allowing it to adapt to your unique coding style while delivering precise and context-sensitive support. Whether you are coding solo or collaborating in a team setting, Tabby not only streamlines your coding tasks but also minimizes errors and speeds up project timelines. With its user-friendly features and customizable options, Tabby stands out as an essential tool for developers looking to optimize their coding experience.

Fine is an innovative platform driven by artificial intelligence, aimed at supporting startups by automating various tasks in the software development lifecycle. This platform provides a variety of AI agent workflows that facilitate coding, debugging, testing, and code review, enabling teams to release daily updates and expedite the resolution of pull requests. Fine has the capability to independently generate and apply code, perform pull request assessments, create tests, and manage typical challenges without the need for constant oversight from human developers. It integrates smoothly with GitHub and is designed to accommodate asynchronous collaboration, making it an ideal choice for dynamic startup environments. Additionally, Fine offers real-time feedback and live previews, which not only enhance productivity but also optimize the overall development workflow. By leveraging such advanced features, teams can focus more on strategic tasks while the platform handles routine operations efficiently.

We are excited to unveil Codestral, our inaugural code generation model. This open-weight generative AI system is specifically crafted for tasks related to code generation, enabling developers to seamlessly write and engage with code via a unified instruction and completion API endpoint. As it becomes proficient in both programming languages and English, Codestral is poised to facilitate the creation of sophisticated AI applications tailored for software developers. With a training foundation that encompasses a wide array of over 80 programming languages—ranging from widely-used options like Python, Java, C, C++, JavaScript, and Bash to more niche languages such as Swift and Fortran—Codestral ensures a versatile support system for developers tackling various coding challenges and projects. Its extensive language capabilities empower developers to confidently navigate different coding environments, making Codestral an invaluable asset in the programming landscape.

FauxPilot serves as an open-source, self-hosted substitute for GitHub Copilot, leveraging the SalesForce CodeGen models. It operates on NVIDIA's Triton Inference Server, utilizing the FasterTransformer backend to facilitate local code generation. The installation process necessitates Docker and an NVIDIA GPU with adequate VRAM, along with the capability to distribute the model across multiple GPUs if required. Users must download models from Hugging Face and perform conversions to ensure compatibility with FasterTransformer. This alternative not only provides flexibility for developers but also promotes an independent coding environment.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

CodeGen is an open-source framework designed for generating code through program synthesis, utilizing TPU-v4 for its training. It stands out as a strong contender against OpenAI Codex in the realm of code generation solutions.

StarCoder and StarCoderBase represent advanced Large Language Models specifically designed for code, developed using openly licensed data from GitHub, which encompasses over 80 programming languages, Git commits, GitHub issues, and Jupyter notebooks. In a manner akin to LLaMA, we constructed a model with approximately 15 billion parameters trained on a staggering 1 trillion tokens. Furthermore, we tailored the StarCoderBase model with 35 billion Python tokens, leading to the creation of what we now refer to as StarCoder. Our evaluations indicated that StarCoderBase surpasses other existing open Code LLMs when tested against popular programming benchmarks and performs on par with or even exceeds proprietary models like code-cushman-001 from OpenAI, the original Codex model that fueled early iterations of GitHub Copilot. With an impressive context length exceeding 8,000 tokens, the StarCoder models possess the capability to handle more information than any other open LLM, thus paving the way for a variety of innovative applications. This versatility is highlighted by our ability to prompt the StarCoder models through a sequence of dialogues, effectively transforming them into dynamic technical assistants that can provide support in diverse programming tasks.

Code Llama is an advanced language model designed to generate code through text prompts, distinguishing itself as a leading tool among publicly accessible models for coding tasks. This innovative model not only streamlines workflows for existing developers but also aids beginners in overcoming challenges associated with learning to code. Its versatility positions Code Llama as both a valuable productivity enhancer and an educational resource, assisting programmers in creating more robust and well-documented software solutions. Additionally, users can generate both code and natural language explanations by providing either type of prompt, making it an adaptable tool for various programming needs. Available for free for both research and commercial applications, Code Llama is built upon Llama 2 architecture and comes in three distinct versions: the foundational Code Llama model, Code Llama - Python which is tailored specifically for Python programming, and Code Llama - Instruct, optimized for comprehending and executing natural language directives effectively.

Allocate tasks and leverage advanced AI agents alongside our worldwide network of developers to produce top-notch code. Expand your project capabilities without the need to boost your engineering team. When you find yourself with more tasks than you can handle, delegate them to GitStart. We are passionate about the transformative power of coding and are dedicated to nurturing the future talent in software development. Define the sections of your repository that GitStart can access with our safe git-sharing solution, allowing you to maintain control over your assets. With our system, you can selectively share information while safeguarding your configuration file. Break down your tasks into manageable sprint-sized tickets, and our AI assistant will aid in converting requirements into comprehensive tickets. To minimize lengthy review processes, GitStart submits pull requests that have undergone rigorous internal code assessments and quality assurance checks. You will evaluate the output in your repository, suggest any necessary modifications, and execute the merge. Additionally, you have the authority to accept or decline each pull request's cost estimate after we have clarified the project's scope and prior to the commencement of any tasks. By integrating GitStart into your workflow, you can streamline your development process while fostering innovation and efficiency.

Automate your documentation and fix bugs, performance and security issues. Connect your repository to Mimrr, and we'll do the rest. Analyzes changes in real-time to find and fix code quality issues. Efficiency is possible with our shared resources. We manage hosting, you reap all the benefits. Integrate our model into your infrastructure. You can host your docs either publicly for end users to use your APIs, or privately just for your team. Multiple projects can be viewed and organized in the same dashboard. Our semantic code chat will help you to get better results out of your codebase by making it easier for you to understand and onboard complex code. Spot-on code interaction using natural language prompts. You can easily add new hires from the Mimrr app's user management, located under your organization dashboard.

gpt-engineer is an open-source tool aimed at streamlining software development by allowing users to articulate their software needs using everyday language. By harnessing the power of AI, it produces and runs code aligned with user-defined parameters, thereby accelerating and simplifying the development journey. Furthermore, gpt-engineer is capable of applying suggested enhancements and managing iterative development cycles, which enables users to concentrate on more strategic aspects instead of getting bogged down in manual coding tasks. With its terminal-centric design, it serves as an excellent choice for developers looking for a flexible and modifiable platform to explore AI-driven programming. Additionally, its user-friendly approach fosters creativity and innovation in software design.

Introducing a reliable, on-premise generative AI solution designed specifically for enterprises that prioritizes data security. Customize it for your confidential and proprietary information without the need for internet access. Secure AI presents a robust alternative to ChatGPT, functioning on local servers to guarantee complete user data confidentiality. This innovative tool enables our clients to utilize Large Language Models (LLMs) with peace of mind, even when handling sensitive information. In addition to enhancing productivity by automating various tasks such as writing documents, drafting contract proposals, and aiding in software development, Secure AI stands out by eliminating the risks associated with transmitting sensitive data online. It operates seamlessly on your local systems, ensuring data remains private and accessible even in environments where ChatGPT may be restricted. With Secure AI, your business development team can efficiently generate the initial draft of a technical proposal, requiring no engineering assistance whatsoever, thereby streamlining the proposal process significantly. This capability not only saves time but also empowers teams to focus on strategic initiatives while maintaining utmost data security.

The leading open-source AI assistant. You can create custom autocomplete experiences and chats by connecting any models to any context. Remove the barriers that hinder productivity when developing software to remain in flow. Accelerate your development with a plug and play system that is easy to use and integrates into your entire stack. Set up your code assistant so that it can evolve with new capabilities. Continue autocompletes entire sections of code or single lines in any programming languages as you type. Ask questions about files, functions, the entire codebase and more by attaching code or context. Highlight code sections, then press the keyboard shortcut to convert code into natural language.