IntelliCode Alternatives

Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.

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

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

For medical auditing, Audit Manager streamlines the way you manage audits by merging audit workflow, management, education, and reporting into one easy-to-use, web-based solution. Audit Manager brings simplicity by helping you: Identify Revenue Evaluate financial impact. Minimize denials and identify up to 10%, per provider, in missed revenue with extensive reporting and analytics tools. Increase Efficiency Improve your auditing efficiency by up to 40%. Reduce the amount of time you spend completing audits with our user-friendly interface. Improve Accuracy Customize your audit templates. Include your own standards, MAC carrier guidelines, and claim scrubber tech for ideal results. Audit Manager features: Built-in Tableau integration for in-depth analytics and reporting. Flexible Audit Management: View the status, and each associated status, of every audit, by any auditor. E/M Calculator Automatically calculate E/M codes with a built-in calculator.

Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.

BLACKBOX.AI is a Coding LLM designed to transform the way we build software. By building BLACKBOX.AI, our goal is to: - Accelerate the pace of innovation within companies by making engineers 10X faster in building and releasing products - Accelerate the growth in software engineers around the world and 10X the number of engineers from ~100M to 1B Capabilities: 1. Natural Language to Code 2. Real-Time Knowledge 3. Code Completion 4. VISION 5. Code Commenting 6. Commit Message Generation 7. Chat with your Code Files BLACKBOX is built to answer coding questions and assist you write code faster. Whether you are fixing a bug, building a new feature or refactoring your code, ask BLACKBOX to help. BLACKBOX has real-time knowledge of the world, making it able to answer questions about recent events, technological breakthroughs, product releases, API documentations & more BLACKBOX integrates directly with VSCode to automatically suggests the next lines of code.

IntelliSense is a general term for various code editing features including: code completion, parameter info, quick info, and member lists. IntelliSense features are sometimes called by other names such as "code completion", "content assist", and "code hinting." Visual Studio Code IntelliSense is provided for JavaScript, TypeScript, JSON, HTML, CSS, SCSS, and Less out of the box. VS Code supports word based completions for any programming language but can also be configured to have richer IntelliSense by installing a language extension. VS Code IntelliSense features are powered by a language service. A language service provides intelligent code completions based on language semantics and an analysis of your source code. If a language service knows possible completions, the IntelliSense suggestions will pop up as you type. If you continue typing characters, the list of members (variables, methods, etc.) is filtered to only include members containing your typed characters.

Code Faster. Stay in Flow. Kite adds AI powered code completions to your code editor, giving developers superpowers. Download the Kite engine to add Kite’s AI powered code completions to all your code editors. Kite supports over 16 languages and 16 code editors. Experience lightning fast completions that are context aware of your code. Give your code editor super powers and get longer multi-line completions where you would typically get none. Code faster and stay in flow. Kite’s AI helps you cut keystrokes, by as much as 47% in this example. View Python docs with just one click or mouse-hover, plus find helpful examples and how-tos. Quickly find files in your codebase that may be related to the current file that you are coding in. Making thousands of developers more productive.

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor. Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused. GitHub Copilot is available today as a Visual Studio Code extension. It works wherever Visual Studio Code works — on your machine or in the cloud on GitHub Codespaces. And it’s fast enough to use as you type. GitHub Copilot works with a broad set of frameworks and languages. The technical preview does especially well for Python, JavaScript, TypeScript, Ruby, and Go, but it understands dozens of languages and can help you find your way around almost anything. With GitHub Copilot, you’re always in charge. You can cycle through alternative suggestions, choose which to accept or reject, and manually edit suggested code. GitHub Copilot adapts to the edits you make, matching your coding style.

DryRun Security has been built from our experience training 10,000+ developers and security professionals in application security testing and building security products at GitHub and Signal Sciences. From our experience, one thing is missing from all tools on the market today: security context for developers. Developers make code changes all day, every day. They need a security tool that provides security context to help them move faster and safer. Security code reviews often slow down the development team and happen too late in the development pipeline. Developers need security context right when a pull request is opened, so they can know the impact of the code change that's getting merged. Until now, most security testing has taken a generic approach that frustrates developers with repetitive alerts or inaccurate results.

Aider lets you pair program with LLMs, to edit code in your local git repository. Start a new project or work with an existing git repo. Aider works best with GPT-4o & Claude 3.5 Sonnet and can connect to almost any LLM. Aider has one of the top scores on SWE Bench. SWE Bench is a challenging software engineering benchmark where aider solved real GitHub issues from popular open source projects like django, scikitlearn, matplotlib, etc.

Proficient in more than a dozen programming languages, Codex can now interpret simple commands in natural language and execute them on the user’s behalf—making it possible to build a natural language interface to existing applications. We are now inviting businesses and developers to build on top of OpenAI Codex through our API. OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB—so it can take into account over 3x as much contextual information while performing any task.

Greptile can answer hard questions on complex codebases better than any other tool. Greptile answers questions like that one 100X dev on your team who's been around for years and knows the codebase cold. Search across multiple branches of multiple repos all at once. Multi-repo codebases, open source dependencies and more. Locate code deeply hidden in messy, legacy codebases by simply describing it in plain English. Thanks to our semantic abstraction layer, Greptile works with most public programming languages.

Open to all (even for non-developers), straightforward and simple to use, clear and intuitive interface. Save time in development, generate your code in one click and use your time more efficiently. Powered by GPT-3 and Codex, the most advanced AI technology, and next-generation development. Sometimes SourceAI will have trouble understanding what you want, so you'll have to explain it in more detail. At SourceAI, we are a close-knit team of empathetic and optimistic developers who care deeply about accelerating human progress by making programming accessible to all. Our mission is to give everyone the opportunity to create valuable customized software. We build a self-contained system that can create software at the level of the world's most skilled engineers. We have developed a stand-alone system based on the GPT-3 language model. SourceAI is a tool that can generate code for you in any language from a plain text description.

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.

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.

Save costly developer time by automating pull request summaries. Open a pull request and get a summary of the changes in seconds. Instantly understand the implications of small pull requests and get a huge headstart on big ones. A lot of time is spent on code reviews with back and forth between the reviewer and the author - often about minor changes that could be done automatically. Just comment on the lines of code that should be refactored with /wtd and describe the changes that you want. What The Diff will then suggest the changes in the pull request and you can accept them with a single click. What The Diff analyzes the changes of your pull requests and gives you and your team a summary of all the changes in plain english – no need to do this yourself. What The Diff has been trained with a huge data set of code and supports nearly all programming languages. Install the GitHub app for free and give it a try it on one of your repositories.

Warp is a blazingly fast, Rust-based terminal reimagined from the ground up to work like a modern app. Fully native, Rust-based terminal. No Electron or web-tech. All cloud features are opt-in. Data is encrypted at rest. Warp works out of the box with zsh, fish, and bash. Input that feels like a code editor. Writing code in your terminal shouldn’t feel like 1978. Edit your commands like in a modern code editor with selections, cursor positioning, and completion menus. Our GPT-3 powered AI search will convert natural language into executable shell commands. It's like GitHub Copilot, but for the terminal. Navigate through your terminal, command by command. Copy the output with one click and zero scrolls. Access common workflows with a simple GUI. You can create your own workflows, and share them with your team.

Editor.do is an all-in-one online IDE and hosting platform that allows you to create, code, host and deploy stunning & fast static websites in seconds. You can easily deploy your site files or a zip containing all your project files to our NVMe SSD storage servers, ensuring the fastest possible loading speed for your site. Our IDE supports over 150 programming languages with real-time code rendering and a panel of shortcuts and tools to search, replace, cut, select, and quickly manipulate your code. Editor.do offers over 1000 free and open-source templates covering a wide range of categories and libraries that can be imported directly from GitHub. Plus, ChatGPT is integrated and is always close at hand to help you correct, complete, or improve your code or text. Editor.do is an ideal platform for developers and designers of all skill levels who want to create stunning, fast, and secure websites in a fraction of the time.

Project IDX is an experimental new initiative aimed at bringing your entire full-stack, multiplatform app development workflow to the cloud. Project IDX starts with a web-based workspace that'll feel familiar for coding but fresh. And we're just at the beginning of this journey. We'd love your input as we work to make application development better. Project IDX gets you into your dev workflow in no time, backed by the security and scalability of Google Cloud. Go from opening your browser to developing an application in a matter of seconds, not days, from anywhere and on any machine. Project IDX makes it easier to start building an app that works across multiple platforms using a variety of templates for popular frameworks, such as Angular, Next.js, React, Svelte, and Flutter, with Python and Go support coming soon. You can also import your existing applications from GitHub, with support for most tech stacks.

Empower engineering teams to save time and focus on what they do best, which is building products. Create your own patterns, and describe what you will look like while reviewing, Trag will do it before you jump in. Create rules for your use cases for your team, as many as you want, as thorough as you want. Monitor the progress, all the failing rules can be recovered by our AI. We never commit directly, you will get PR with the fix. Connect multiple repositories, multiple repositories at your hand. Invite and collaborate with your teammates. Trag will automatically review PRs with written patterns. Monitor pull request analytics and make faster, better decisions. Write your own patterns using natural language. Trag will automatically match rules with the PR changes and will automatically fix them. Every single piece of data is encrypted and secure, we never commit directly, only through PRs, and we don't use your code for any development purposes.

BuildShip is a lowcode visual backend builder that lets you ship APIs, scheduled jobs, AI workflows, cloud jobs instantly. Connect with any database, tools and AI models to create complete backend logic flows. Use prebuilt nodes or use AI to create custom logic nodes just for you. By combining the ease of nocode with power of low-code extensibility - BuildShip gives you a scalable way to build your backend fast. Supports powerful use-cases like: 💸 Collect payment and trigger Stripe, RevenueCat, Lemon Squeezy for subscription workflows 🪄 Trigger AI workflows and build AI apps' backend 🔌 Creating APIs for processing your data and CRUD ops on database 📝 Send form submission data to third party tools 🤖 Add AI Assistant Chatbot with OpenAI, Azure, Claude, Groq or any model 💌 Email users, generate leads, enrich data The possibilities are endless with BuildShip ✨

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

CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.

Leave Artificial Intelligence to AIXcoder. Leave Real Intelligence to Human. The offline version is released! Your code is safe on your computer locally. AiXcoder works in smooth locally with state of art deep learning model compression techniques. The models are trained with a massive amount of open source code. And adapted to several areas. A search window is seamlessly integrated into IDE with the ability to search open-source code on GitHub. Deep learning is used to filter high-quality code as search results. Search API usage and examples. Search similar code to avoid duplicated coding. Project Level Personalized Training: Train models on personal project and computer. Enterprise Level Customized Training: Train models on code base and enterprise server. Based on standard model, personalized and customized training will learn the patterns and rules in your proprietary code.

Double is an AI-powered coding assistant inside of VSCode, designed to generate high quality code and assist you with programming tasks. Double is powered by the most capable commercially available LLMs, providing state of the art coding assistance. We will never waste your precious time with inferior models. Get code suggestions in real time as you type in the editor, press Tab to accept a suggestion and incorporate it into your code. The suggestions are personalized to your file's context and style conventions. Double's autocomplete is also handles multi-cursor mode, naming variables, mid-line completions, and automatically imports any relevant functions, variables, and libraries needed to run the code.

Collaborate with each other and AI in the most natural way without leaving your favorite tools - minimizing distraction and context switching. Pullflow synchronizes user identities and code-review activity across GitHub, Slack, and VS Code, enabling you to converse naturally across platforms. Take action from wherever you are, and return to your flow. Pullflow integrates with GitHub Actions, external CI/CD, GitHub apps, and more, to bring you a single view of your pull request from draft and review to test and deploy. Let Pullflow take care of quick actions for you with just a chat mention or IDE keyboard shortcut. Request review, add/remove labels, give feedback, approve, and more, without a trip to GitHub.

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

Spend time reviewing code generated by AI, not writing it. Sweep generates repository-level code at your command. Cut down your dev time on mundane tasks, like tests, documentation, and refactoring. Review all changes by Sweep, directly in Github, and comment if any changes need to be made. Push the commit if all looks good. All you have to do is write a ticket, and Sweep will do all of the heavy-lifting for you, allowing you to focus on the more important engineering problems.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.

Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.

Mentat is the AI tool that assists you with any coding task, right from your command line. Unlike Copilot, Mentat coordinates edits across multiple locations and files. And unlike ChatGPT, Mentat already has the context of your project, no copy and pasting is required. Run Mentat from within your project directory. Mentat uses Git, so if your project doesn't already have Git set up, run git init. List the files you would like Mentat to read and edit as arguments. Mentat will add each of them to context, so be careful not to exceed the GPT-4 token context limit.

Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup. Start coding with your favorite language on any platform, OS, and device. Invite your friends, teammates, and colleagues right into your code with Google-docs like editing. Import, run, and collaborate on millions of GitHub repos with 0 manual setup. From Python, to C++, to HTML and CSS, stay in one platform to learn and code in any language you want. The second you create a new repl, it's instantly live and sharable with the world. Learn how to code from 3 million+ passionate programmers, technologists, creatives, and learners of all kinds. Make your team more productive with interactive docs, real-time collaboration, and 0-hassle remote interviewing. Create apps programatically, spin up bots and customize the IDE with plugins to fit your needs.

We believe agentic technology is too important to be controlled by a few corporations. So we're building all our agents in the open on GitHub, under the MIT license. Our agents can do anything a human developer can, they write code, run commands, and use the web. We're partnering with AI safety experts like Invariant Labs to balance innovation with security. Thousands of developers are working together to build the AI-powered future they want to see. Our agents are compatible with any large language model provider.

Vivid lets your Figma define auto-updating, modular code that your developers can actually use. Build your UI's source of truth in Figma without changing your workflow. Vivid uses your existing components to create modular code synced with your Figma. Let designers take over UI while developers own functionality. Promote your designs to production. Vivid is an in-browser styling editor that makes building frontends blazingly fast. With Vivid, you can simply click on an on-screen component to pull up its code right in the browser. Any edits you make to that code are automatically synced with your source code. The biggest benefit of having an organized template is that you actually know what’s going on when you look at it. Closely linked to consistency, customization is also incredibly easy in an organized codebase. For components, like buttons or sections, things can be changed at the React level.

Unblocked augments code with context from Slack, Confluence, Jira (and more), so you get helpful answers without having to search for them. Getting answers from Unblocked doesn't require changes in how your team works or extra effort to set up and maintain. Simply connect your tools and you're ready to go. Because Unblocked understands your codebase, architecture, and internal practices, you get accurate answers quickly, without having to wait on or interrupt your teammates. Unblocked surfaces contextually relevant documents and past discussions for any open file, so you have the same knowledge as the teammates who wrote the code. Access to data across network layers is secured with encryption in transit and at rest using team-specific keys. Customer data is never used to train shared models. Unblocked helps new team members find the answers they need to so they can start contributing right away.

An applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineering teams to strive for more ambitious goals. We’re the makers of Devin, the first AI software engineer. Devin is a tireless, skilled teammate, equally ready to build alongside you or independently complete tasks for you to review. With Devin, engineers can focus on more interesting problems and engineering teams can strive for more ambitious goals. With our advances in long-term reasoning and planning, Devin can plan and execute complex engineering tasks requiring thousands of decisions. Devin can recall relevant context at every step, learn over time, and fix mistakes. We’ve also equipped Devin with common developer tools including the shell, code editor, and browser within a sandboxed compute environment—everything a human would need to do their work. Finally, we’ve given Devin the ability to actively collaborate with the user.

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.

An open source, terminal-based AI coding engine that helps you complete large tasks, work around bad output, and maximize productivity. Plandex uses long-running agents to complete tasks that span multiple files and require many steps. It breaks up large tasks into smaller subtasks, then implements each one, continuing until it finishes the job. It helps you churn through your backlog, work with unfamiliar technologies, get unstuck, and spend less time on the boring stuff. Changes are accumulated in a protected sandbox so that you can review them before automatically applying them to your project files. Built-in version control allows you to easily go backwards and try a different approach. Branches allow you to try multiple approaches and compare the results.

Accelerate your React development with visual, intuitive superpowers. Drag, drop, click, and prompt your UI into place. While generating code it looks like you wrote it. Load your app, click anywhere, and use intuitive controls to update your Tailwind styling. Syncs with your code on disk in real-time as you work. The difference is so clean, that you could’ve sworn you wrote it yourself. Let the AI update your Tailwind styles for you, so you can spend more time on what matters most. Drag and drop premade, customizable building blocks to scaffold your UI with ease. Works with MUI, Chakra, and other component-based libraries. MightyMeld is a visualization and creation platform for complex React apps. MightyMeld’s architecture has proven to be robust and flexible. We are continually exploring new possibilities, such as enhanced support for design tokens, richer canvas interactions, and more powerful controls in the property panel.

Duet AI for developers focuses on challenges and tasks across the development lifecycle: Code/Boilerplate Generation — Developers can describe the tasks they have in mind as a comment or function name, such as creating a Cloud Pub/Sub topic. Duet AI will generate a reference implementation that can be reviewed and modified, so developers don’t need to spend time reading through multiple documentation pages. Inline Code Completion — To reduce the time spent on repetitive tasks and minimize the cognitive workload of tasks such as writing repetitive code or retrieving variable names, Duet AI provides intelligent, context-aware code completion, helping reduce the time spent on coding and enhancing the quality of the written code. Enterprise Customization — Organizations frequently have massive code bases and specific recommended frameworks and best practices, which generic code assistance solutions may not be best positioned to support.

Code completion that operates across your repository. Magic helps you edit code across your entire repository. For decades, technology has been just a tool. Soon, it will be your partner.

When you work with CodeAssist plugin/extension, the code that CodeAssist works with is sent to the CodeAssist API. Your code is processed there to generate CodeAssist response (in the form of code change or message). Currently, the processed code is not stored on the server. If there are any changes to that, I'll let you know. If you don't use "Complete" feature (ALT+X shortcut), then it only processes the file that you have open in the editor. If you use "Complete" feature, then it processes other files in your codebase as well. As part of generating response, CodeAssist sends the code to OpenAI API. OpenAI stores the code for 1 month to provide and maintain their services, comply with applicable law, and enforce their policies. The code is not used by OpenAI for improvement of their services or training of their models.

Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly for programmers. Generate, ask, search, and code anything in your codebase with KodeziChat. Your personal AI coding assistant! Kodezi doesn't just fix your code for you, it tells you why it’s wrong and how to prevent future bugs. Reduce unnecessary lines of code and syntax to ensure clean end results. Optimize your code for optimum efficiency. Debug code with detailed explanations. Swap from one framework or language to another in an instant, without losing context. When writing code, commenting and explanations are crucial for future maintenance. Generate code from text, input a project question or create an entire function all in seconds! Generate your code documentation. Translate code to another language. Optimize your code for optimum efficiency. Use our extension within your own IDE, never have to rely on opening up new tabs ever again.

Turn specs into code with GPT-4 Turbo; RoboCoder makes programming easier. We integrated GPT-4 Turbo with VS Code’s APIs, to allow it to open and edit files. Get a studio-quality maternity photoshoot by taking a few selfies at home, thanks to a powerful image-generating AI. Collaborate with ChatGPT on a plan, then tell it to "get to work." GPT-4 is smart enough to open files, navigate your codebase, and propose a patch using VS Code's diff tool.

Seamlessly generate and update your code with intelligent suggestions and recommendations using OpenAI. Identify and fix bugs in your code more efficiently with AI-powered debugging assistance. Get clear explanations and documentation for complex code snippets and algorithms. Craft compelling technical documentation, meeting notes, and blog posts with precision and clarity. DevPromptAi is free to use. You will need to have a working OpenAI API key in order to use the app. When you use the OpenAI API key, you pay directly to OpenAI for the amount of credits/tokens you use. Your API is safe and stored encrypted locally on your device in the browser's local storage. Requests to Open AI's API are sent directly from your browser window. DevPromptAi only stores your API key locally and never sends your API key anywhere.

CodeSandbox is a cloud development platform that empowers development teams to code, collaborate, and ship projects of any size from any device in record time. Run your code in powerful microVMs and build anything without limits. We configure your environment for you and keep your code always ready, behind a URL. Boxy, the CodeSandbox AI coding assistant, is also now available to all Pro subscribers.

CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time.

StableCode offers a unique way for developers to become more efficient by using three different models to help in their coding. The base model was first trained on a diverse set of programming languages from the stack-dataset (v1.2) from BigCode and then trained further with popular languages like Python, Go, Java, Javascript, C, markdown and C++. In total, we trained our models on 560B tokens of code on our HPC cluster. After the base model had been established, the instruction model was then tuned for specific use cases to help solve complex programming tasks. ~120,000 code instruction/response pairs in Alpaca format were trained on the base model to achieve this result. StableCode is the ideal building block for those wanting to learn more about coding, and the long-context window model is the perfect assistant to ensure single and multiple-line autocomplete suggestions are available for the user. This model is built to handle a lot more code at once.