List of the Top 25 On-Prem AI Code Generators in 2025

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored for both solo developers and collaborative teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

Windsurf is an innovative IDE built to support developers with AI-powered features that streamline the coding and deployment process. Cascade, the platform’s intelligent assistant, not only fixes issues proactively but also helps developers anticipate potential problems, ensuring a smooth development experience. Windsurf’s features include real-time code previewing, automatic lint error fixing, and memory tracking to maintain project continuity. The platform integrates with essential tools like GitHub, Slack, and Figma, allowing for seamless workflows across different aspects of development. Additionally, its built-in smart suggestions guide developers towards optimal coding practices, improving efficiency and reducing technical debt. Windsurf’s focus on maintaining a flow state and automating repetitive tasks makes it ideal for teams looking to increase productivity and reduce development time. Its enterprise-ready solutions also help improve organizational productivity and onboarding times, making it a valuable tool for scaling development teams.

FAB Builder stands out as an advanced platform for Code Generation and Low Code solutions, aimed at expediting the development of both web and mobile applications. Its seamless integration with well-known technology stacks such as MERN, MEAN, React, Node.js, Java, Flutter, and iOS facilitates the quick assembly of front-end, back-end, and mobile applications. By harnessing the power of AI along with pre-existing templates, the platform enhances the overall development process, leading to significant cost savings, time efficiency, and elevated productivity levels. This tool automates the generation of code in languages like HTML, CSS, and JavaScript, ensuring that the output is not only error-free but also clean and optimized for performance. Users benefit from customizable templates that allow for swift deployment, easy incorporation into current workflows, and features that enhance team collaboration. Additionally, the rapid prototyping capabilities enable teams to produce functional code directly from wireframes and mockups, which significantly accelerates the testing stage. Furthermore, FAB Builder's support for cross-platform development guarantees that apps are responsive and native across web, desktop, and mobile devices. It appeals to developers eager to automate monotonous tasks, foster teamwork, and speed up the prototyping process, all without compromising on code quality. By minimizing the need for manual coding, FAB Builder empowers developers to concentrate on more intricate and creative aspects of their projects, thereby boosting overall efficiency and reducing the time required to bring products to market. In an ever-evolving technological landscape, having a tool like FAB Builder can be a game-changer for development teams.

Tabnine serves as an AI-driven coding assistant that empowers development teams of all sizes to leverage artificial intelligence, thereby enhancing and streamlining the software development lifecycle while ensuring privacy, security, and compliance are maintained. By automating various coding tasks, Tabnine elevates engineering productivity, improves code quality, and increases developer satisfaction, offering tailored AI solutions that cater to each team's unique needs. With over a million developers relying on it, Tabnine has gained trust across countless organizations. Providing top-tier AI code completion and a chat feature, Tabnine accommodates a wide array of applications, including code generation, code explanation, unit test creation, documentation generation, code debugging, refactoring, and overall code maintenance. It seamlessly integrates with all major integrated development environments (IDEs) like VS Code, JetBrains, Visual Studio, and Eclipse, while also supporting more than 80 programming languages and frameworks, such as JavaScript, TypeScript, Python, Java, C, C++, C#, Go, PHP, Ruby, Kotlin, Dart, Rust, and many others. This extensive compatibility enables developers to enhance their coding practices across diverse projects, making Tabnine a vital tool in the modern development landscape.

Bolt.new is a cutting-edge web development platform that utilizes artificial intelligence to allow users to create, run, modify, and deploy fully-fledged applications directly from their web browsers without requiring any local installations. This tool also offers features such as package management, backend functionality, and code editing options. Tailored for a diverse audience—including experienced developers, project managers, and designers—Bolt.new streamlines the creation of high-quality, full-stack applications. Users can begin their journey with Bolt.new completely free of charge, and those interested in acquiring extra AI tokens or working on private initiatives have the option to purchase a paid subscription through the settings found in the lower-left corner of the interface. Furthermore, its intuitive design ensures that even beginners can effectively improve their development skills and experience. Overall, Bolt.new is poised to revolutionize how individuals approach web development, making it an invaluable asset in today's tech landscape.

Mistral AI is recognized as a pioneering startup in the field of artificial intelligence, with a particular emphasis on open-source generative technologies. The company offers a wide range of customizable, enterprise-grade AI solutions that can be deployed across multiple environments, including on-premises, cloud, edge, and individual devices. Notable among their offerings are "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and business contexts, and "La Plateforme," a resource for developers that streamlines the creation and implementation of AI-powered applications. Mistral AI's unwavering dedication to transparency and innovative practices has enabled it to carve out a significant niche as an independent AI laboratory, where it plays an active role in the evolution of open-source AI while also influencing relevant policy conversations. By championing the development of an open AI ecosystem, Mistral AI not only contributes to technological advancements but also positions itself as a leading voice within the industry, shaping the future of artificial intelligence. This commitment to fostering collaboration and openness within the AI community further solidifies its reputation as a forward-thinking organization.

K.Explorer is an innovative AI tool designed to enhance software development by making the process quicker, more cost-effective, and more efficient. Acting as a coding companion, it boosts developer productivity significantly. This intelligent pair programmer provides real-time suggestions for code completions and even generates entire function bodies while you work. Additionally, users can utilize the search engine feature for additional support. Furthermore, this AI-driven Code Assistant has been developed using millions of lines of proprietary code alongside billions of lines of open-source code to ensure versatility. The integration of Natural Language processing enables programmers to receive tailored guidance and narrate the context of their coding journey. By combining these features, K.Explorer transforms the way developers approach coding tasks.

Meet CodeGeeX, an impressive multilingual code generation model equipped with 13 billion parameters that has been pre-trained on a vast array of code from more than 20 programming languages. Utilizing CodeGeeX's capabilities, we have developed a VS Code extension (search for 'CodeGeeX' in the Extension Marketplace) to aid programmers across diverse languages. Beyond its ability to generate and translate code in multiple languages, CodeGeeX also functions as a tailored programming assistant thanks to its few-shot learning feature. By simply providing a few examples as prompts, CodeGeeX can replicate the demonstrated patterns to create code that is consistent with those examples. This opens the door to a range of exciting functionalities, including code explanation, summarization, and generation that cater to individual coding styles. Users, for example, can input snippets that reflect their personal coding preferences, and CodeGeeX will produce analogous code. Additionally, by trying out various prompt structures, users can encourage CodeGeeX to acquire new programming techniques and boost its adaptability. Consequently, CodeGeeX emerges as an essential tool for developers seeking to optimize their coding workflows and enhance their productivity in software development. Its innovative features truly make it a game-changer in the realm of coding assistance.

DeepSeek Coder represents a groundbreaking advancement in the field of data analysis and programming. Utilizing cutting-edge machine learning and natural language processing, it empowers users to seamlessly integrate data querying, analysis, and visualization into their everyday workflows. With an intuitive interface designed for both novices and experienced developers, it simplifies the processes of writing, testing, and optimizing code. Notable features include real-time syntax checking, intelligent code suggestions, and comprehensive debugging tools, all of which significantly boost coding efficiency. Additionally, DeepSeek Coder excels at interpreting complex data sets, allowing users to derive meaningful insights and create sophisticated data-driven applications with ease. Its robust capabilities and user-friendly design make DeepSeek Coder an indispensable tool for anyone involved in projects that rely on data. As such, it stands out as a key resource in the ever-evolving landscape of technology and analytics.

Goose, often called codename goose, is an open-source AI agent designed to run locally on computers, aimed at automating various engineering tasks within a terminal or integrated development environment (IDE). It streamlines processes such as code generation, debugging, and deployment, allowing developers to concentrate on more complicated problem-solving endeavors. The adaptable framework of Goose enables customization with a range of large language models (LLMs) and the incorporation of external APIs, which enhances its capabilities to cater to the distinct needs of diverse projects. By autonomously handling complex tasks, Goose simplifies the development process, ultimately boosting productivity and reducing the necessity for manual oversight. Users have highlighted the effectiveness of Goose in automating tasks such as dependency management, test execution, and code migration, reflecting its value in real-world applications. Moreover, as software development continues to advance, tools like Goose are becoming essential for sustaining efficiency amid the demands of a rapidly changing environment. In an era where speed and precision are paramount, leveraging such innovative tools can significantly influence a team's success in delivering high-quality software products.

SuperAGI SuperCoder is a groundbreaking open-source platform that seamlessly integrates an AI-powered development environment with autonomous AI agents, enabling the complete automation of software development, starting with Python and its associated frameworks. The newest version, SuperCoder 2.0, leverages advanced large language models and a Large Action Model (LAM) specifically optimized for generating Python code, demonstrating exceptional precision in one-shot or few-shot coding tasks, and exceeding standards set by benchmarks such as SWE-bench and Codebench. As an independent system, SuperCoder 2.0 features customized software guardrails tailored to various development frameworks, with an initial emphasis on Flask and Django, while also employing SuperAGI’s Generally Intelligent Developer Agents to build complex, real-world software applications. Additionally, SuperCoder 2.0 integrates extensively with widely-used tools in the developer community, such as Jira, GitHub or GitLab, Jenkins, and cloud-based quality assurance platforms like BrowserStack and Selenium, thus guaranteeing a smooth and efficient software development workflow. This innovative approach not only enhances the coding process but also empowers developers to focus on higher-level design and problem-solving, ultimately transforming the automated software development landscape.

CodeSandbox is designed to simplify the process of expressing and validating your coding ideas while eliminating the complexities associated with setting up development environments and sharing projects. The platform has garnered over 4 million monthly users, including notable organizations such as Shopify and Atlassian, and since its inception, more than 35 million applications have been developed by creators. It plays a vital role in numerous open-source projects, including popular frameworks like React, Vue, and Babel. Users can easily invite friends or team members to collaborate or view their projects through a simple URL, and they have access to over 1 million packages to build robust applications efficiently. Additionally, developers can import and execute repositories straight from GitHub or select from a variety of templates to get started in no time. Furthermore, Boxy, the AI-driven coding assistant from CodeSandbox, is now accessible to all users with Pro subscriptions, enhancing the coding experience even further. This combination of features positions CodeSandbox as a leading tool in the future of web development.

Refact.ai is a cutting-edge AI-driven assistant that seamlessly integrates with your IDE, delivering smart code completion, instant code suggestions, and automatic refactoring to optimize the coding experience. Leveraging an AI model tailored to your specific codebase, Refact.ai customizes its recommendations to align with your team's coding style, significantly boosting productivity. Developers have the flexibility to adjust the assistant's functionalities to cater to their individual needs, making it an invaluable resource for personalized coding support. Compatible with all major IDEs and offering secure on-premise deployment, Refact.ai not only enhances code quality but also minimizes the time spent on tedious manual tasks, leading to quicker project turnaround times. Ultimately, this innovative tool transforms the way developers approach coding, fostering a more efficient and enjoyable workflow.

Fine is a cutting-edge platform that harnesses artificial intelligence to assist startups by automating numerous processes within the software development lifecycle. It offers a range of AI-driven workflows that simplify tasks such as coding, debugging, testing, and code review, empowering teams to implement daily updates and quickly address pull requests. Fine can autonomously generate and implement code, evaluate pull requests, design tests, and tackle standard challenges without requiring constant supervision from developers. With seamless integration into GitHub, it supports asynchronous collaboration, making it particularly suitable for fast-paced startup settings. Furthermore, Fine provides real-time feedback and live previews, significantly boosting productivity and refining the overall development process. By utilizing these sophisticated capabilities, teams can devote more attention to strategic initiatives while the platform efficiently manages routine tasks, ultimately leading to a more streamlined development experience. This innovative approach not only enhances team efficiency but also fosters an environment where creativity and innovation can thrive.

We are thrilled to introduce Codestral, our first code generation model. This generative AI system, featuring open weights, is designed explicitly for code generation tasks, allowing developers to effortlessly write and interact with code through a single instruction and completion API endpoint. As it gains expertise in both programming languages and English, Codestral is set to enhance the development of advanced AI applications specifically for software engineers. The model is built on a robust foundation that includes a diverse selection of over 80 programming languages, spanning popular choices like Python, Java, C, C++, JavaScript, and Bash, as well as less common languages such as Swift and Fortran. This broad language support guarantees that developers have the tools they need to address a variety of coding challenges and projects. Furthermore, Codestral’s rich language capabilities enable developers to work with confidence across different coding environments, solidifying its role as an essential resource in the programming community. Ultimately, Codestral stands to revolutionize the way developers approach code generation and project execution.

Mistral Large is the flagship language model developed by Mistral AI, designed for advanced text generation and complex multilingual reasoning tasks including text understanding, transformation, and software code creation. It supports various languages such as English, French, Spanish, German, and Italian, enabling it to effectively navigate grammatical complexities and cultural subtleties. With a remarkable context window of 32,000 tokens, Mistral Large can accurately retain and reference information from extensive documents. Its proficiency in following precise instructions and invoking built-in functions significantly aids in application development and the modernization of technology infrastructures. Accessible through Mistral's platform, Azure AI Studio, and Azure Machine Learning, it also provides an option for self-deployment, making it suitable for sensitive applications. Benchmark results indicate that Mistral Large excels in performance, ranking as the second-best model worldwide available through an API, closely following GPT-4, which underscores its strong position within the AI sector. This blend of features and capabilities positions Mistral Large as an essential resource for developers aiming to harness cutting-edge AI technologies effectively. Moreover, its adaptable nature allows it to meet diverse industry needs, further enhancing its appeal as a versatile AI solution.

Conventional software development often struggles with sluggishness, high resource demands, and numerous inefficiencies, which can hinder organizations from delivering top-notch software punctually. ArcPilot revolutionizes this landscape by melding AI-enhanced productivity with user-friendly software design, granting teams the capability to develop enterprise-level software more swiftly and efficiently than ever before. Aimed at expediting development timelines, ArcPilot allows teams to effortlessly convert business processes into code, offering a clear visualization of intricate systems while producing scalable, production-ready architectures at an unprecedented pace. With ArcPilot, teams can dissect business processes into manageable steps and automatically produce system architectures. Furthermore, it evaluates existing codebases to derive business logic maps, facilitating the enhancement and modernization of older code. This capability guarantees that even legacy systems can be smoothly incorporated into contemporary workflows. Boosting team efficiency, ArcPilot features the ability to produce reusable and shareable blueprints from current code files. In just one click, it can generate millions of lines of code tailored to your coding standards, ensuring that teams can maintain consistency and quality throughout their projects. This innovative approach not only accelerates development but also significantly enhances the overall software delivery process.

Mistral AI has unveiled the Mistral Large 2, an advanced AI model engineered to perform exceptionally well across various fields, including code generation, multilingual comprehension, and complex reasoning tasks. Boasting a remarkable 128k context window, this model supports a vast selection of languages such as English, French, Spanish, and Arabic, as well as more than 80 programming languages. Tailored for high-throughput single-node inference, Mistral Large 2 is ideal for applications that demand substantial context management. Its outstanding performance on benchmarks like MMLU, alongside enhanced abilities in code generation and reasoning, ensures both precision and effectiveness in outcomes. Moreover, the model is equipped with improved function calling and retrieval functionalities, which are especially advantageous for intricate business applications. This versatility positions Mistral Large 2 as a formidable asset for developers and enterprises eager to harness cutting-edge AI technologies for innovative solutions, ultimately driving efficiency and productivity in their operations.

CodeGen is an innovative open-source framework aimed at producing code via program synthesis, employing TPU-v4 in its training process. It distinguishes itself as a formidable competitor to OpenAI Codex in the field of code generation tools, showcasing its potential to enhance developer productivity and streamline coding tasks.

StarCoder and StarCoderBase are sophisticated Large Language Models crafted for coding tasks, built from freely available data sourced from GitHub, which includes an extensive array of over 80 programming languages, along with Git commits, GitHub issues, and Jupyter notebooks. Similarly to LLaMA, these models were developed with around 15 billion parameters trained on an astonishing 1 trillion tokens. Additionally, StarCoderBase was specifically optimized with 35 billion Python tokens, culminating in the evolution of what we now recognize as StarCoder. Our assessments revealed that StarCoderBase outperforms other open-source Code LLMs when evaluated against well-known programming benchmarks, matching or even exceeding the performance of proprietary models like OpenAI's code-cushman-001 and the original Codex, which was instrumental in the early development of GitHub Copilot. With a remarkable context length surpassing 8,000 tokens, the StarCoder models can manage more data than any other open LLM available, thus unlocking a plethora of possibilities for innovative applications. This adaptability is further showcased by our ability to engage with the StarCoder models through a series of interactive dialogues, effectively transforming them into versatile technical aides capable of assisting with a wide range of programming challenges. Furthermore, this interactive capability enhances user experience, making it easier for developers to obtain immediate support and insights on complex coding issues.

Code Llama is a sophisticated language model engineered to produce code from text prompts, setting itself apart as a premier choice among publicly available models for coding applications. This groundbreaking model not only enhances productivity for seasoned developers but also supports newcomers in tackling the complexities of learning programming. Its adaptability allows Code Llama to serve as both an effective productivity tool and a pedagogical resource, enabling programmers to develop more efficient and well-documented software. Furthermore, users can generate code alongside natural language explanations by inputting either format, which contributes to its flexibility for various programming tasks. Offered for free for both research and commercial use, Code Llama is based on the Llama 2 architecture and is available in three specific versions: the core Code Llama model, Code Llama - Python designed exclusively for Python development, and Code Llama - Instruct, which is fine-tuned to understand and execute natural language commands accurately. As a result, Code Llama stands out not just for its technical capabilities but also for its accessibility and relevance to diverse coding scenarios.

gpt-engineer is an open-source application designed to simplify the software development process by enabling users to express their programming requirements in plain language. Utilizing AI capabilities, it generates and executes code that aligns with the specifications provided by users, thus expediting the development process and making it more efficient. Moreover, gpt-engineer can implement recommended improvements and oversee iterative development cycles, allowing users to focus on higher-level planning rather than being mired in tedious coding tasks. Its terminal-focused interface makes it an ideal option for developers who seek a customizable and adaptable environment for experimenting with AI-enhanced programming. In addition, the platform encourages a user-friendly experience that promotes creativity and innovation in the realm of software development, inspiring developers to push the boundaries of their projects. Ultimately, gpt-engineer fosters a collaborative atmosphere where ideas can flourish and evolve into robust software solutions.

Introducing a dependable, on-premise generative AI solution tailored for enterprises that emphasize data security. This tool can be customized for your confidential and proprietary information without requiring an internet connection. Secure AI serves as a strong alternative to ChatGPT, operating on local servers to ensure complete confidentiality of user data. This innovative technology allows clients to leverage Large Language Models (LLMs) confidently, even when working with sensitive information. Beyond boosting productivity through the automation of various tasks, such as document creation, contract proposal drafting, and software development assistance, Secure AI particularly excels in mitigating the risks tied to online data transmission. It functions effortlessly on your local systems, guaranteeing that data remains private and easily accessible, even in situations where ChatGPT may not be available. With Secure AI, your business development team can independently craft the initial draft of a technical proposal without needing any engineering support, which significantly streamlines the proposal process. Additionally, this efficiency not only conserves valuable time but also empowers teams to concentrate on strategic projects, all while ensuring maximum data security. By integrating Secure AI, organizations can transform their approach to sensitive data management and operational efficiency.

The premier open-source AI assistant allows you to design personalized autocomplete functions and chat interfaces by seamlessly linking various models to diverse contexts. By eliminating obstacles that disrupt your productivity during software development, you can maintain a smooth workflow. With a user-friendly plug-and-play system that integrates effortlessly into your entire tech stack, you can expedite your development process. Customize your code assistant to adapt as it gains new features and enhancements. Effortlessly autocomplete entire blocks of code or individual lines across multiple programming languages as you continue typing. You can inquire about files, functions, the full codebase, and more by associating relevant code or context. Additionally, highlight specific segments of code and utilize a keyboard shortcut to transform that code into easily understandable natural language, enhancing collaboration and comprehension. This innovative tool empowers developers to work more efficiently and creatively than ever before.

Create a secure and context-sensitive infrastructure as code (IaC) directly from the application’s source code without the need for alterations. While the advantages of infrastructure as code are widely recognized, there remains significant room for improvement. StackGen harnesses the existing application code to generate IaC that is not only secure and consistent but also meets industry compliance standards. This innovative method removes bottlenecks, decreases potential liabilities, and lessens the error rates that often arise from manual operations, thereby facilitating a faster application launch. By streamlining the developer experience, it allows programmers to concentrate on their coding tasks instead of becoming experts in infrastructure management. The auto-generated IaC inherently incorporates consistency, security, and compliance with policies. The system adeptly produces context-aware IaC without necessitating changes to the foundational code, guaranteeing proper support and adherence to the principle of least privilege. There's no requirement to overhaul existing pipelines, as StackGen integrates effortlessly into current workflows, fostering collaboration across teams. This empowers developers to automatically generate IaC that aligns with established provisioning criteria, thereby boosting efficiency and teamwork. Ultimately, this cutting-edge method not only expedites development but also fortifies security measures throughout the organization, ensuring a more robust overall framework. By embracing this approach, organizations can achieve a balance between rapid deployment and stringent security practices, leading to a more resilient infrastructure.