Best AI Code Generators - Page 9

Compare the Top AI Code Generators as of August 2025 - Page 9

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    Continue

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    The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.
    Starting Price: $0/developer/month
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    Polymet

    Polymet

    Polymet

    Design and iterate faster with AI. Get the production-ready code and ship it faster. Our tool connects seamlessly with Figma and your codebase. You can export the code that follows your design patterns. Get the design and code for anything you build. Polymet makes it easy for product teams to create a design system and well-designed pages, and components with AI. Whenever the team needs a new component or a page, they just give the prompt in, get the new design that follows their design system, and code out.
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    StackGen

    StackGen

    StackGen

    Generate context-aware, secure IaC from application code without code changes. We love infrastructure as code, but that doesn’t mean there isn’t room for improvement. StackGen uses an application’s code to generate consistent, secure, and compliant IaC. Remove bottlenecks, liabilities, and error-prone manual processes between DevOps, developers, and security to get your application to market faster. Allow developers a better, more productive experience without becoming infrastructure experts. Consistency, security, and policy guardrails are incorporated by default when IaC is auto-generated. Context-aware IaC is auto-generated, with no code changes required, supported, and rightsized with least-privileged access controls. No need to rebuild your pipelines. StackGen works alongside your existing workflows to remove silos between teams. Enable developers to auto-generate IaC that complies with your provisioning checklist.
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    poolside

    poolside

    poolside

    poolside is building next-generation AI for software engineering. A model built specifically for the challenges of modern software engineering. Fine-tune our model on how your business writes software, using your practices, libraries, APIs, and knowledge bases. Your proprietary model continuously learns how your developers write code. You become an AI company. We're building foundation models, an API, and an assistant to bring the power of generative AI to your developers. The poolside stack can be deployed to your own infrastructure. No data or code ever leaves your security boundary. Ideal for highly regulated industries like financial services, defense, and technology as well as retail, tech, and systems integrators. Your model ingests your codebases, documentation & knowledge bases to create a model that is uniquely suited to your dev teams & business. poolside is deployed in your environment which allows you to securely and privately connect it to your data.
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    Savery

    Savery

    Savery

    Savery can rewrite your code to the newest version or standards, even if it is a large codebase. Give Savery a dataset and it will automatically figure out what AI models are optimal for your use case. It can write the AI algorithm and train the model for you. Savery can help you research a topic. It can go online and find relevant information to do the coding. Find documentation for an API integration, specifications for a dataset or just read the uploaded documentation for your project. If you need to modify your code you can ask Savery to do it for you. It will automatically find where to modify the code and update the file in your test environment. Savery will automatically test the software it produces and make sure it won't be submitted before it works correctly. The embedded quality assurance, or unit testing, works smoothly and speeds up your deliveries. The wide range of integrations makes your life easier. No copying or pasting code or tasks from one system to another.
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    GitHub Spark

    GitHub Spark

    GitHub Spark

    We can enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime. GitHub Spark is an AI-powered tool for creating and sharing micro apps (“sparks”), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code. It enables this through a combination of three tightly integrated components. An NL-based editor, which allows easily describe your ideas, and then refine them over time. A managed runtime environment, which hosts your sparks, and provides them access to data storage, theming, and LLMs. A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere. Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the spark, and use it directly, or remix it, in order to further adapt it to their preferences.
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    Tessl

    Tessl

    Tessl

    Tessl’s AI native development platform delivers secure, high-quality, and auto-maintained code, all built to your specs. Tessl’s approach to spec-driven development, grounded in rigorous, deterministic conformance tests, lets you define the requirements, while AI generates the code. Tessl’s platform is a new approach to building software. One built from the ground up with AI in mind. Software built with Tessl is composed using small, modular units that combine to form complex systems. Tessl is created to work with today’s LLMs while anticipating tomorrow’s AI innovations. With Tessl, quality control is built in, via spec conformance tests and platform-wide code quality evaluations. Push the boundaries of generative AI in an environment designed to let you tinker and explore. Experiment with workflows, models, prompts, and more. Tessl enables easier collaboration based on specs, and our high-quality, auto-generated documentation makes code easier than ever to consume.
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    Genie AI

    Genie AI

    Genie AI

    Genie AI is a Visual Studio Code extension that integrates OpenAI's GPT models, including GPT-4, GPT-3.5, GPT-3, and Codex, directly into the development environment. This integration enhances the coding experience by providing features such as code generation, error explanation, and code fixes. Users can generate commit messages from git changes, store conversation history locally, and utilize the extension in the problems window to address compile-time errors. Genie AI supports streaming answers, allowing users to receive real-time responses to prompts within the editor or sidebar conversation. It also offers compatibility with Azure OpenAI Service deployments, enabling the use of custom models. Additional functionalities include customizable system messages, quick fixes for code issues, and the ability to export conversation history in Markdown format. The extension is designed to enhance developer productivity by integrating advanced AI capabilities into the coding workflow.
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    PartyRock
    PartyRock is a space where you can build AI-generated apps in a playground powered by Amazon Bedrock. It’s a fast and fun way to learn about generative AI. PartyRock, launched by Amazon Web Services (AWS) in November 2023, is a user-friendly platform that enables users to create generative AI-powered applications without any coding experience. By simply describing the desired app, users can build a variety of applications, from simple text generators to sophisticated productivity tools that combine multiple AI capabilities. Since its inception, over half a million apps have been built by users worldwide. artyRock operates as a playground powered by Amazon Bedrock, AWS's fully managed service that provides access to foundational AI models. The platform offers a web-based interface, eliminating the need for an AWS account, and allows users to sign in with their existing social credentials. Users can explore hundreds of thousands of published apps, categorized by functionality.
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    Belva Engineer
    Belva Engineer is an AI-powered development environment that automates code generation and hosting for both monolith and microservice architectures. Leveraging Belva's AiDB technology eliminates context limitations by providing full-context integration of entire code repositories, thereby accelerating developer onboarding and allowing teams to focus on refinements and creativity. Designed for architects as well as coders, users can create and refine system designs using UML diagrams, which the AI then transforms into flawless code. Belva Engineer also offers seamless legacy integration, enabling the import of existing codebases to visualize architecture and modernize systems with ease. Each adjustment to the UML is uniquely reflected in the generated code, ensuring a custom-tuned solution that aligns with the user's vision. The platform maintains human-guided AI, allowing users to concentrate on overarching architectural decisions while the AI executes with precision.
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    Jolt AI

    Jolt AI

    Jolt AI

    Jolt is an AI code generation and chat tool designed for large codebases ranging from 100,000 to multi-million lines of code. It automatically identifies relevant context files, generates coherent multi-file code changes, and matches the existing code style. Users can assign tasks to Jolt, which writes over 80% of the required code, handling medium to large codebases and editing over 10 files and 1,000 lines of code in a single task. Jolt creates an editable file-by-file implementation plan, ensuring the code is predictable and aligns with the intended approach, aiding developers in onboarding new codebases. The generated code integrates with popular Integrated Development Environments (IDEs), facilitating the development of new features, tests, bug fixes, and more, ultimately saving 50% of the time typically spent on a task. Jolt accurately selects context files in multi-million line codebases, and generates multi-file changes that match the existing code style.
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    Greta

    Greta

    Questera

    Greta, developed by Questera, is an AI-powered development platform designed to transform ideas into functional web and mobile applications rapidly. It enables users to build applications or components in minutes without extensive coding knowledge, integrating various growth tools such as data analytics and email campaigns. Greta is scalable from the outset, supporting diverse projects and offering over 50 full-stack growth components to enhance application functionality. ​
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    FlexApp

    FlexApp

    FlexApp

    FlexApp is changing the game in mobile app development by transforming straightforward text prompts into fully functional React Native applications. Whether you’re an entrepreneur, developer, or designer, FlexApp gives you the power to whip up high-quality, production-ready apps in just minutes—no coding skills needed! By leveraging AI-driven automation and Expo, we make the app-building process smooth, intuitive, and scalable across iOS, Android, and PWAs. Why Choose FlexApp? Say goodbye to those long development cycles—FlexApp allows you to concentrate on your vision while AI takes care of the heavy lifting. With a clever AI code agent, a live app preview, and a visual inspector, you can effortlessly build, test, and refine your app. Key Features - Live Mobile App Previews: Watch your app spring to life with real-time updates. - Visual Inspector: Click on any UI element and tweak it using our user-friendly editor.
    Starting Price: $20/month
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    AlphaCodium
    AlphaCodium is a research-driven AI tool developed by Qodo to enhance coding with iterative, test-driven processes. It helps large language models improve their accuracy by enabling them to engage in logical reasoning, testing, and refining code. AlphaCodium offers an alternative to basic prompt-based approaches by guiding AI through a more structured flow paradigm, which leads to better mastery of complex code problems, particularly those involving edge cases. It improves performance on coding challenges by refining outputs based on specific tests, ensuring more reliable results. AlphaCodium is benchmarked to significantly increase the success rates of LLMs like GPT-4o, OpenAI o1, and Sonnet-3.5. It supports developers by providing advanced solutions for complex coding tasks, allowing for enhanced productivity in software development.
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    Autonomy AI

    Autonomy AI

    Autonomy AI

    ​Autonomy AI is an AI-powered platform designed to accelerate front-end development by integrating deeply into a company's existing codebase and workflows. It operates within the organization's stack, automatically reusing and adding to the design system and existing codebase, much like a human developer, thereby reducing technical debt before it starts. It is powered by the Agentic Context Engine (ACE), which understands the intricacies of the codebase, analyzes the nuances of Figma designs at a superhuman level, and keeps track of all this knowledge as it works. AutonomyAI works inside the workflow with a deep understanding of libraries, configurations, and company standards to create organization-specific, production-grade code, optimizing every stage of development. It functions as an organic part of the development team, understanding tasks autonomously, iterating independently, incorporating feedback seamlessly, and working rapidly.
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    EZsite

    EZsite

    EZsite

    ​EZsite is a no-code website and app builder that enables users to launch fully functional, revenue-ready sites in under 60 seconds. By simply describing your idea, such as "a coffee shop with online ordering", EZsite generates a complete site with built-in features like AI chatbots, payment processing, lead capture, and sales automation. Users can customize their sites using drag-and-drop editing, modify layouts and content, and deploy instantly with a temporary or custom domain. It includes a real-time database for managing visitor data, supports Stripe and PayPal integrations, and offers SEO tools to enhance search visibility. EZsite is ideal for small businesses, freelancers, and creators looking to monetize quickly without technical expertise. ​
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    DeepSeek-Coder-V2
    DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources.
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    Mistral Code

    Mistral Code

    Mistral AI

    Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments.
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    Asimov

    Asimov

    ReflectionAI

    Asimov is a code research agent that understands and works with complex enterprise codebases. Rather than focusing on code generation, it prioritizes codebase comprehension, a task that consumes up to 70% of developers’ time, by mapping relationships between code, architecture, and team decisions; maintaining institutional knowledge as engineers join and leave; and learning organically from team interactions and documentation. It indexes your entire development environment, including code repositories, architecture docs, GitHub threads, and Teams conversations, to build a persistent, cross‑cutting understanding of systems and to maintain context across architectural changes and team transitions. By using expanded context windows instead of traditional retrieval methods, Asimov can dynamically reference any part of a codebase during reasoning, enabling more accurate synthesis across disparate components.
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    CodeT5

    CodeT5

    Salesforce

    Code for CodeT5, a new code-aware pre-trained encoder-decoder model. Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. This is the official PyTorch implementation for the EMNLP 2021 paper from Salesforce Research. CodeT5-large-ntp-py is specially optimized for Python code generation tasks and employed as the foundation model for our CodeRL, yielding new SOTA results on the APPS Python competition-level program synthesis benchmark. This repo provides the code for reproducing the experiments in CodeT5. CodeT5 is a new pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages (Python, Java, JavaScript, PHP, Ruby, Go, C, and C#). In total, it achieves state-of-the-art results on 14 sub-tasks in a code intelligence benchmark - CodeXGLUE. Generate code based on the natural language description.
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    CometCore

    CometCore

    CometCore

    CometCore delivers automated AI-enhanced chat for multimedia, code & content creation across diverse digital formats. Empowering all types of creators with AI chat & coding tools. Discover the potential of GPT-4 automation through our connected platform. Effortlessly create custom AI agents to streamline daily tasks and perform common actions with user-friendly commands. Empower your personalized AI assistant to reserve tables, order groceries, and more, maximizing productivity while simplifying your life. Experience the future of AI-driven task management today. Interact with GPT-4 through text commands or voice recordings in any language. Our user-friendly platform caters to your preferred mode of communication, providing seamless access to powerful AI capabilities and breaking down language barriers. Versatile AI agents for seamless productivity and communication. CometCore's complete suite of AI-powered creative tools.
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    AutoCodePro

    AutoCodePro

    AutoCodePro

    Describe your perfect Chrome extension, and watch as AutoCodePro transforms your vision into a ready-to-use codebase. Mobile app creation is made simple. Just tell AutoCodePro what you want, and we'll deliver the code you need. Whether it's a Chrome extension, web app, or mobile app, start by outlining your vision. Describe the functionalities, design elements, and any specific features you want in your app. Feed your description to AutoCodePro. Our AI technology will parse your prompt and get to work, intelligently translating your words into lines of code. AutoCodePro will generate a comprehensive, ready-to-use codebase for your app. The code is yours to deploy or customize as you see fit.
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    Codey

    Codey

    Google

    Codey accelerates software development with real-time code completion and generation, customizable to a customer’s own codebase. This code generation model supports 20+ coding languages, including Go, Google Standard SQL, Java, Javascript, Python, and Typescript. It enables a wide variety of coding tasks, helping developers to work faster and close skills gaps through: Code completion: Codey suggests the next few lines based on the context of code entered into the prompt. Code generation: Codey generates code based on natural language prompts from a developer. Code chat: Codey lets developers converse with a bot to get help with debugging, documentation, learning new concepts, and other code-related questions.
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    AI Love Code

    AI Love Code

    AI Love Code

    Introducing AI Love Code, the AI tool that helps developers in create stunning websites while efficiently generating source code.
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    GitWit

    GitWit

    GitWit

    GitWit is an online tool to build web apps while augmenting your own coding skills with AI. Regardless of your experience in building apps, you can ship the first version of your app in minutes. Sometimes GitWit will produce code that is out of date or causes an error. In that case, you have several options, undo the transformation, and try again, ask GitWit to fix the error, or fix the code manually, using the editor. This requires experimentation, and there is no way to get it to work.
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    CodeMaker AI

    CodeMaker AI

    CodeMaker AI

    CodeMaker AI offers tools and automation for software developers for writing, testing, and documenting source code. Our main product is the developer toolkit which can be used by individuals and teams to automate software development. Toolkit is designed to automate the work at an unparalleled scale at a fraction of the cost. CodeMaker AI mission is to improve software developers' productivity by offering them unparalleled automation for writing, testing, and documenting software. CodeMaker AI can aid developers by offering them context-aware code completion. The context for completion can be built selectively from the content of the entire input source file to offer most accurate results.
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    Data Mentor

    Data Mentor

    Enterprise DNA

    Explore Data Mentor by Enterprise DNA. Empowering users with AI tools and a Code Generator to elevate data skills and solve complex problems effortlessly.
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    Decompute Blackbird
    Decompute Blackbird is a platform that challenges the traditional centralized approach to artificial intelligence by decentralizing AI compute power. The platform enables teams to train task-specific AI models on their own data, directly where the data resides, rather than relying on centralized cloud services. This approach allows businesses to optimize their AI capabilities by giving different teams the ability to develop and train models more efficiently and securely. Decompute aims to scale enterprise AI by focusing on decentralized AI infrastructure, helping organizations better leverage their data without compromising privacy or performance.
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    Creatr

    Creatr

    Creatr

    Creatr AI allows anyone to create functional web-apps and landing pages with natural language prompts. It detects & fixes your coding errors automatically. With Creatr you can: Start with production ready templates for your next web-app. Give context by adding your documents, links or images. Chat with Creatr AI to get feature recommendations. Integrate with tools like Supabase, ChatGPT, Mapbox, Resend etc. Get real time usage analytics of your web-app. Export your code anytime. Sync it to Github or run it locally with one command. Whether you're just starting out or are a seasoned developer, Creatr AI works for everyone. Make your next dollar with Creatr for free!
    Starting Price: $89/month
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    CodeSquire

    CodeSquire

    CodeSquire

    Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.