Best AI Coding Assistants for On-Premises 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.

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

Bolt.new, an AI-powered Web Development Agent, allows you to run, edit and deploy full-stack web applications directly from your browser. Bolt.new allows you to install packages and run backends. You can also edit code. Bolt.new lets you build production-grade applications, whether you're a developer, PM, or designer. Bolt.new allows you to start using it for free. You can subscribe to Bolt.new if you want more AI tokens, or private projects. This is done in the Bolt.new settings in the lower left corner of the app.

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.

CodeGeeX is a multilingual, large-scale code generation model that has 13 billion parameters. It was pre-trained on a large code corpus with more than 20 languages. We create a VS Code extension (search CodeGeeX in the Extension Marketplace) to assist with programming different programming languages. Besides the multilingual code generation/translation abilities, we turn CodeGeeX into a custom programming assistant using its few-shot ability. CodeGeeX will generate codes according to the examples you provide. This ability can be used to implement cool features such as code explanation, summarization, generation using specific coding styles, and many more. CodeGeeX can generate codes in a similar fashion by adding code snippets that are consistent with one's coding style. To inspire CodeGeeX, you can also use prompts in specific formats.

Goose is an open-source AI-powered assistant designed to automate engineering workflows directly within a developer’s terminal or IDE. Running locally, it streamlines tasks such as code generation, debugging, and deployment, allowing developers to focus on more strategic challenges. Its flexible architecture supports customization with various large language models (LLMs) and third-party APIs, enabling seamless integration into different development environments. By automating repetitive and complex processes, Codename Goose enhances productivity, minimizes manual effort, and accelerates software development. Developers leverage Goose for tasks like dependency management, test execution, and code migration, making it a powerful tool for optimizing engineering efficiency.

DeepSeek Coder, a cutting edge software tool, is designed to revolutionize data analysis and coding. It allows users to seamlessly integrate data analysis, visualization, and querying into their workflow by leveraging advanced machine-learning algorithms and natural language processing. DeepSeek Coder's intuitive interface allows both novice and experienced coders to efficiently write, optimize, and test code. Its powerful set of features include real-time code completion, intelligent syntax checking, and comprehensive debugging, all designed to streamline coding. DeepSeek Coder can also understand and interpret complex data, allowing users to create sophisticated data-driven apps with ease.

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.

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.

SuperAGI SuperCoder combines AI-native development platform & AI agents in order to enable fully autonomous software creation starting with the python programming language & frameworks. SuperCoder 2.0 leverages Large Action Models (LAMs) and LLMs fine-tuned to python code creation leading to one-shot or few-shot python functional programming with significantly higher accuracy on SWE-bench and Codebench SuperCoder 2.0 is an autonomous system that combines software guardrails for Flask & Django development frameworks with SuperAGI's Generally Intelligent Developer Agents in order to deliver complex real-world software systems SuperCoder 2.0 integrates deeply with existing developer stacks such as Jira or Github, Jenkins, CSPs, and QA solutions like BrowserStack/Selenium Clouds, to ensure a seamless experience in software development.

Fine is a comprehensive AI-powered platform that assists startups in automating various aspects of software development, including coding, debugging, testing, and reviewing pull requests. The platform leverages AI agents that can work autonomously, handling tasks like writing code, generating tests, and performing code reviews based on natural language commands. Fine integrates smoothly with GitHub and operates asynchronously, enabling development teams to quickly tackle daily coding challenges and reduce cycle times. With its real-time code previews and live feedback capabilities, Fine helps teams accelerate development, ensure code quality, and handle repetitive tasks, ultimately enhancing productivity and project speed.

We are proud to introduce Codestral, the first code model we have ever created. Codestral is a generative AI model that is open-weight and specifically designed for code generation. It allows developers to interact and write code using a shared API endpoint for instructions and completion. It can be used for advanced AI applications by software developers as it is able to master both code and English. Codestral has been trained on a large dataset of 80+ languages, including some of the most popular, such as Python and Java. It also includes C, C++ JavaScript, Bash, C, C++. It also performs well with more specific ones, such as Swift and Fortran. Codestral's broad language base allows it to assist developers in a variety of coding environments and projects.

FauxPilot, a self-hosted open-source alternative to GitHub Copilot, is a self-hosted open-source alternative. It uses the SalesForce CodeGen model on NVIDIA’s Triton Inference Server, with the FasterTransformer as the backend. Docker is required, as well as an NVIDIA GPU that has enough VRAM and the ability split the model over multiple GPUs, if necessary. Downloading models from Hugging Face, and converting them to FasterTransformer compatible formats is the setup.

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 a model for program synthesis that is open-source. Trained on TPU v4. OpenAI Codex is competitive with TPU-v4.

Code Llama, a large-language model (LLM), can generate code using text prompts. Code Llama, the most advanced publicly available LLM for code tasks, has the potential to improve workflows for developers and reduce the barrier for those learning to code. Code Llama can be used to improve productivity and educate programmers to create more robust, well documented software. Code Llama, a state-of the-art LLM, is capable of generating both code, and natural languages about code, based on both code and natural-language prompts. Code Llama can be used for free in research and commercial purposes. Code Llama is a new model that is built on Llama 2. It is available in 3 models: Code Llama is the foundational model of code; Codel Llama is a Python-specific language. Code Llama-Instruct is a finely tuned natural language instruction interpreter.

Tabby is a self-hosted, open-source AI coding assistant that enhances your development workflow through intelligent code completion, real time suggestions, and seamless integration with your preferred IDE. Tabby's flexible deployment options let you run it on your own infrastructure. This ensures security and control of your codebase. Tabby is able to adapt to your coding style and provides accurate and context-aware help. It supports major coding large languages models (LLMs), such as CodeLlama and StarCoder. Tabby helps you to streamline coding tasks and reduce errors.

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.

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.

gpt-engineer is an open-source tool that allows developers to automate the software development process by using natural language instructions. The platform leverages AI to generate, test, and refine code based on the user's specified needs, reducing the need for manual coding and speeding up the development cycle. In addition to building software from scratch, gpt-engineer can also handle improvements and iterative changes, allowing developers to focus on higher-level design rather than repetitive coding tasks. With its terminal-based interface, the tool is flexible and easily customizable for developers looking to explore AI-driven programming solutions.

StarCoderBase and StarCoder are Large Language Models (Code LLMs), trained on permissively-licensed data from GitHub. This includes data from 80+ programming language, Git commits and issues, Jupyter Notebooks, and Git commits. We trained a 15B-parameter model for 1 trillion tokens, similar to LLaMA. We refined the StarCoderBase for 35B Python tokens. The result is a new model we call StarCoder. StarCoderBase is a model that outperforms other open Code LLMs in popular programming benchmarks. It also matches or exceeds closed models like code-cushman001 from OpenAI, the original Codex model which powered early versions GitHub Copilot. StarCoder models are able to process more input with a context length over 8,000 tokens than any other open LLM. This allows for a variety of interesting applications. By prompting the StarCoder model with a series dialogues, we allowed them to act like a technical assistant.

Assign tickets and get high-quality code produced by our global developer community and AI agents. Increase your capacity without increasing engineering headcount. Assign GitStart to any items that you cannot ship. We believe that coding can transform lives, and we're on a mission of growing the future software talent in the world. Select which parts of the repo GitStart may access using our secure git sharing tool. Share only the files you want to share and keep your configuration file locked up. Assign sprint-sized ticket and our LLM Assistant will help you translate your requirements into a fully formed ticket. GitStart only pushes PRs after they have passed internal code and quality assurance checks. You review your repo's work, request any changes necessary, and merge. Once we understand the scope of work and before we begin any work, you can approve or refuse each PR cost estimate.

The on-site, data secure generative AI solution trusted by enterprises. You can customize it to work with your sensitive data and proprietary information without ever connecting to internet. Secure AI is a secure alternative to ChatGPT, as it operates on local servers and does not require internet connectivity. This ensures the privacy of all user data. Our customers can now use Large Language Models (LLMs), even when working with sensitive or proprietary information, in a confident manner. Secure AI increases work efficiency by automating such tasks as document writing, software development, and contract proposals. Secure AI, unlike other AI software, does not require sensitive data to be sent over the internet. It runs on your local machine, keeping it private and usable in places where ChatGPT has been banned. Secure AI allows your business development team to generate a first draft of a proposal without requiring any engineering support.