Alternatives to IntelliCode

Increase software development and delivery speed using generative AI assistance with enterprise security and privacy protected. Gemini Code Assist generates code blocks and functions as you type. Code assistance is available for many popular IDEs such as Visual Studio Code and JetBrains IDEs including IntelliJ, PyCharm and GoLand. It also supports 20+ programming language, including JavaScript, Python and C++. You can chat with Gemini Code Assistant using a natural language interface to receive answers to your coding queries or guidance on best coding practices. Chat is available on all supported IDEs. Gemini Code Assist allows enterprises to customize the software by using their own codebases and knowledge bases. Gemini Code Assist allows for large-scale changes in entire codebases.

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

Audit Manager simplifies medical auditing by combining audit management, education, and reporting into a single web-based solution. Audit Manager was created by auditors for auditors. It allows you to audit on terms. You can access immediate reporting, customize templates, and have total control over your entire audit program. Audit Manager will increase your auditing efficiency up to 40%, reduce denials, and identify up to 10% missed revenue. Now included — Audit Manager features built-in Tableau integration to provide in-depth analytics and reporting.

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

Code faster. Stay in the Flow. Kite gives developers superpowers by adding AI-powered code completions to their code editor. Kite can be downloaded to add Kite's AI-powered code completions to all of your code editors. Kite supports more than 16 languages and 16 code editors. You will experience lightning fast code completions that are context-aware. Your code editor has superpowers and can complete multi-line lines faster than you would normally. Stay in flow and code faster. Kite's AI can reduce keystrokes by up to 47% in this example. With just one click, you can view Python docs. You can also find helpful examples and how tos. Find files in your codebase that might be related to the file you are currently coding in. This will make thousands of developers more productive.

ML-powered coding companion makes it easier to build apps faster. Automated code recommendations based upon your code and comments in your editor will accelerate application development. Developers can use artificial intelligence (AI), responsibly, to create secure and syntactically correct applications. Generate complete functions and logical blocks of code without the need to search for and customize code snippets on the internet. With real-time personalized code recommendations for Java, Python, or JavaScript projects, you can stay focused and not leave the IDE. Amazon CodeWhisperer, powered by machine learning (ML), helps developers improve their productivity by generating code recommendations based upon their comments in natural languages and code in the integrated developmental environment (IDE). Automatic code recommendations empower developers to accelerate frontend and backend development. CodeWhisperer can generate code to build and train ML models.

Your AI pair programmer. GitHub Copilot allows you to get suggestions for entire lines or entire functions from your editor. GitHub Copilot is a program that has been trained on billions upon billions of lines public code. It saves you time and helps you stay focused. GitHub Copilot is now available as a Visual Studio Code Extension. It works on any Visual Studio Code platform, on your computer or in the cloud at GitHub Codespaces. It's easy to use and fast enough that you can type as you type. GitHub Copilot is compatible with a wide range of languages and frameworks. The technical preview works especially well with Python, TypeScript Ruby, Ruby, and Go. However, it can also understand dozens of languages and help you navigate almost any situation. You are always in control with GitHub Copilot. You can choose from a variety of suggestions, accept or reject them, and edit the code manually. GitHub Copilot adapts according to your coding style and makes edits.

IntelliSense refers to a variety of code editing features, including code completion, parameter information, quick info and member lists. IntelliSense features can also be called "code completion", content assist", and code hinting. Visual Studio Code IntelliSense can be used for JavaScript and TypeScript, JSON HTML, CSS, SCSS and Less. VS Code supports word-based completions for all programming languages. However, you can also configure VS Code to have richer IntelliSense through installing a language extension. A language service powers VS Code IntelliSense. Language services provide intelligent code completions that are based on language semantics as well as an analysis of your source code. The IntelliSense suggestions will appear as you type if a language service knows about possible completions. Continue typing characters and the list of members (variables or methods, etc.) will be filtered to only include characters that you have typed. Filtered to only include members that contain your typed characters

Aider allows you to pair program with LLMs and edit code in your local repository. Start a project or work on an existing git repository. Aider is compatible with GPT-4o & Claude 3.5 Sonnet, but can connect to any LLM. Aider is one of the highest scorers on SWE Bench. SWE Bench is a challenging benchmark for software engineering. Aider solved real GitHub problems from popular open-source projects such as django scikitlearn matplotlib etc.

DryRun Security is based on our experience in training over 10,000 developers and security professionals to test applications for security and build security products at GitHub. Our experience has shown that all current tools lack a critical feature: security context for developers. Every day, developers make code modifications. They need a tool that gives them security context so they can move faster and be safer. Security code reviews are often too late and slow down the development process. Developers need to know the security context as soon as a pull request opens, so that they can understand the impact of code changes. Most security testing was generic, frustrating developers with repeated alerts and inaccurate results.

Greptile is the best tool to answer complex questions about codebases. Greptile can answer questions like the one from that 100X developer on your team, who has been around for years and understands the codebase inside out. Search across multiple repositories and branches at once. Codebases with multiple repositories, open-source dependencies and much more. Find code hidden in legacy codebases that are cluttered and messy by simply describing the code in plain English. Greptile is compatible with most programming languages thanks to its semantic abstraction layer.

Codex is proficient in more than a dozen programming language and can now interpret simple commands using natural language and execute them for the user. This makes it possible to create a natural language interface for existing applications. Through our API, we are inviting developers and businesses to build on OpenAI Codex. OpenAI Codex is a descendant from GPT-3. Its training data includes both natural language and billions upon billions of lines (including code in public GitHub repositories). OpenAI Codex excels in Python but is also proficient in more than a dozen languages, including JavaScript and Swift, Perl, PHP and Ruby, as well as TypeScript and Shell. It has a memory of 14KB to store Python code, while GPT-3 has only 4KB. This means it can handle more contextual information than GPT-3 and perform any task with 3x the speed.

CodeMaker AI provides tools and automation to software developers that automate the writing, testing and documentation of source code. Our main product is a developer toolkit that can be used by both individuals and teams for automating software development. Toolkit automates work at a scale that is unmatched at a fraction the cost. CodeMaker AI's mission is to increase software developers' productivity through unparalleled automation of writing, testing and documenting software. Code completion based on context can be offered by CodeMaker AI to developers. The context for completion is built from the entire source file content to provide the most accurate results.

It is accessible to everyone (even non-developers), and has a simple and easy to use interface. You can save time and generate code in just one click. GPT-3 and Codex are the most advanced AI technology and next-generation development. SourceAI may not always understand what you are trying to communicate so you will need to explain more. SourceAI is a small, close-knit group of optimistic and compassionate developers who are passionate about making programming accessible to everyone. Our mission is to make it possible for everyone to create custom software. We have created a system that is self-contained and can create software at the same level as the most skilled engineers in the world. We have created a stand-alone system that is based on the GPT-3 model. SourceAI is a tool which can generate code in any language you choose from a plain text description.

Automating pull request summaries can save you valuable developer time. In seconds, you can open a pull request to get a summary about the changes. You can instantly understand the implications of small pull request and get a head start on larger ones. Code reviews take a lot of time. There is often back-and-forth between the author and the reviewer. This is often about minor changes that could easily be automated. Simply comment on the code lines that need to be refactored using /wtd, and then describe the changes you want. With a single click, What The Diff will suggest the changes to your pull request. What The Diff analyzes your pull requests and provides a summary in plain English for you and your team. What The Diff is able to handle almost all programming languages and has been trained with a large data set of code. Try the GitHub app free of charge on one of your repositories.

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

v0 by Vercel is a generative interface system powered by AI. It generates React code that is easy to copy and paste based on shadcn/ui, Tailwind CSS, which people can use for their projects. v0 generates code using AI models based on simple text prompts. After you submit the text prompt, you will be given three options of AI-generated interfaces. You can copy-paste the code of one or refine it. You can refine your creation by selecting individual parts of the generated interface. Once you are done, you can copy and paste your creation. Vercel's product are trained using custom code that our team has created, mixed with open-source datasets and synthetic data. Vercel may use content and/or prompts generated by users as inputs into models and learning systems provided by third-party providers in order to improve its products. Vercel can provide more accurate and relevant suggestions to users by using this data.

Warp is a Rust-based terminal that's lightning fast. It was reimagined from scratch to work like an app. Fully native Rust-based terminal. No web-tech or Electron. All cloud features can be turned on or off. All data is encrypted at rest. Warp works right out of the box using zsh and fish. You should feel like you are typing code. Your terminal shouldn't feel like 1978 when you write code. You can edit your commands in a modern editor with selections and cursor positioning. Our GPT-3 powered AI search can convert natural language into executable commands. It's a terminal version of GitHub Copilot. Navigate through your terminal command by command. Copy the output in one click. A simple GUI allows you to access common workflows. You can create your workflows and share them with your colleagues.

Project IDX is a new experimental initiative that aims to bring your entire multiplatform, full-stack app development workflow into the cloud. Project IDX begins with a web workspace that will feel familiar to coders but new. We're only at the beginning of our journey. We would love to hear your feedback as we work on improving application development. Project IDX will get you up and running quickly, with the security and scalability that Google Cloud offers. Open your browser and develop an application in seconds, not weeks, on any device. Project IDX allows you to build an app that is compatible with multiple platforms. It offers templates for popular frameworks such as Angular.js, Next.js React, Svelte and Flutter. Python and Go will be supported soon. You can import your existing apps from GitHub. Support is available for most tech stacks.

Editor.do allows you to build, code, host, and deploy fast static websites. You can easily deploy all of your project files, or your site files, to our NVMe storage servers. This will ensure the fastest loading speed possible for your website. Our IDE supports more than 150 programming languages. It has a panel of shortcuts, tools, and real-time code rendering. You can search, replace, select, cut, and quickly manipulate code. Editor.do provides over 1000 open-source templates that are free to use and can be imported from GitHub. ChatGPT, which is integrated, is always available to help you complete, correct, or improve the code or text. Editor.do offers a platform that is ideal for designers and developers of all levels of expertise who want to create beautiful, fast and secure websites within a fraction of time.

BuildShip is an easy-to-use visual backend builder. It lets you create APIs, AI workflows and cloud jobs. Connect to any database, tool or AI model to create complete logic flows. Use prebuilt logic nodes or let AI create them for you. BuildShip combines the power of low-code extensibility with the ease of nocode to give you a scalable and fast way to build your backend. BuildShip supports powerful use-cases such as: Collect payments and trigger Stripe RevenueCat, Lemon Squeezy, for subscription workflows. Trigger AI workflows to build AI apps' rearend. Create APIs for processing data and CRUD ops in database. Send form submission data into third party tools.

Engineers can save time by focusing on what they do well, which is creating products. You can create your own patterns and describe how you want to look while reviewing. Trag will do this for you before you get started. Create rules for the use cases of your team. You can create as many rules as you like, and as thoroughly as you wish. Our AI can recover all rules that fail. We never commit directly. You will get PR when the fix is applied. Connect multiple repositories. Multiple repositories are at your fingertips. Invite and collaborate with teammates. Trag will automatically review any PRs that have patterns. Monitor pull request analytics to make better decisions. You can create your own patterns by using natural language. Trag will automatically match the rules with the changes in the PR and fix them. We never commit directly to the code, but only through PRs. We don't use any of your code.

CodeQwen, developed by the Qwen Team, Alibaba Cloud, is the code version. It is a transformer based decoder only language model that has been pre-trained with a large number of codes. A series of benchmarks shows that the code generation is strong and that it performs well. Supporting long context generation and understanding with a context length of 64K tokens. CodeQwen is a 92-language coding language that provides excellent performance for text-to SQL, bug fixes, and more. CodeQwen chat is as simple as writing a few lines of code using transformers. We build the tokenizer and model using pre-trained methods and use the generate method for chatting. The chat template is provided by the tokenizer. Following our previous practice, we apply the ChatML Template for chat models. The model will complete the code snippets in accordance with the prompts without any additional formatting.

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

Double is a coding assistant powered by AI that runs inside VSCode. It generates high-quality code and helps you with programming tasks. Double is powered by LLMs that are the most capable and advanced commercially available, providing the best coding assistance. We will not waste your time with inferior models. Press Tab to accept and incorporate a suggestion. The suggestions are tailored to the context and style conventions of your file. Double's autocomplete also handles multi-cursor, naming variables and mid-line completions. It also automatically imports all relevant functions, libraries, variables and libraries required to run the code.

Artificial Intelligence can be left to AIXcoder. Real Intelligence belongs to humans. The offline version has been released! Your code is protected on your local computer. AiXcoder works locally in a smooth manner using state-of-the-art deep learning model compression techniques. The models are trained using a large amount of open-source code. They can be adapted to many areas. A search window seamlessly integrates into IDE and allows you to search open-source code at GitHub. Deep learning is used for filtering high-quality code in search results. Look for API usage and examples. To avoid duplicate code, search similar code. Project Level Personalized Training - Train models on your personal project and your computer. Enterprise Level Customized Training - Train models on code base or enterprise server A standard model is used to provide training. Personalized and customized training can be provided to help you learn the patterns and rules of your code.

Collaboration with AI and each other is made easy without having to switch between tools. This reduces distractions and context switches. Pullflow synchronizes your user identities and code review activity across GitHub Slack and VS Code. This allows you to communicate naturally across platforms. Take action wherever you are and return to your flow. Pullflow integrates GitHub Actions, external CI/CD tools, GitHub apps and more to give you a single view on your pull request, from the draft stage to the test and deployment phase. Pullflow can take care of your quick actions with a simple chat mention or IDE shortcut. Request review, add/remove label, give feedback, accept, and more without a trip on GitHub.

JetBrains AI Assistant allows you to connect your IDE with large language models (LLMs), which are optimized for specific tasks. AI Assistant can provide precise and context aware assistance, whether it is generating code snippets or automating tests. We take data and software security very seriously! JetBrains AI Assistant will not store or reveal your code snippets. This is true whether the data comes from public repositories or private repositories or local files. We strictly adhere to the JetBrains AI Terms of Service. This ensures that neither JetBrains nor our service providers will use your code or data for training any generative AI model.

Spend your time reviewing the code generated by AI and not writing it. Sweep will generate repository-level code on your behalf. Reduce your dev time spent on mundane tasks like tests, documentation and refactoring. Sweep will review all changes directly in Github and you can comment if there are any changes that need to be made. Push the commit button if everything looks good. Sweep does all the heavy lifting for you. You only need to write a ticket.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.

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

AI-powered pull requests reviewer with contextual insights, tailored comments, and automated setup in one click. Callstack.ai's PR Reviewer will save you time and reduce error risk by providing automatic summaries of PRs, security and bug checks, as well as performance optimization suggestions. {Automatic PR Summaries Understand code changes quickly with auto-generated summaries and diagram.|Automatic PR summaries Understand code changes faster with automatically generated summaries and diagrams.} {Context-Aware Feedback Callstack.ai aligns with your team's coding standards by understanding the core structure of your code for context-driven insights.|Context-Aware Callstack.ai aligns itself with your team's standards of coding by understanding the core structures of your code to provide context-driven insights.} Customizable Reviews Callstack.ai can be tailored to meet your specific coding standards. {Compatible with Major Programming Languages We currently support repositories written in the following languages: javascript, typescript, python, java, kotlin, php, go, ruby, rust, react & vue.|Compatible with Major Programming Languages Currently, we support repositories in the following languages: ruby, go, rust, javascript, typescript. javascript.}

Squire will write the pull request descriptions. Keep your team on the same page with a clear description. Squire's agentic workflow allows a team to review your PR in the context of your entire codebase. It can catch many issues, such as systemic breaking changes or security concerns. We improve code quality, and get your PR in production. Squire is an agent that works with you to review PRs and learn your preferences for code reviews. Squire adapts to your style by learning how your team reviews code. It does this through explicit configurations and learning from the interactions of your team. Map and synchronize responsibility and ownership across your entire engineering stack. Maintain compliance by applying rules to your engineering components.

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

Our free, collaborative, in browser IDE allows you to code in 50+ languages without having to spend a second setting up. You can start coding in your favorite language, on any platform, OS, or device. Google-docs allows you to invite your friends, colleagues, and coworkers into your code. You can import, run, and collaborate in millions of GitHub repos without any manual setup. You can learn any language, from Python to C++ to HTML and CSS. Once you create a repl, it is instantly available and can be shared with the rest of the world. Learn from 3 million+ passionate programmers and technologists, creatives, learners, and all levels of coders. Interactive docs, real time collaboration and zero-hassle remote interviewing will make your team more productive. You can program apps, create bots, and customize the IDE with plugins.

Mentat is an AI tool that helps you with any coding task right from the command line. Mentat, unlike Copilot coordinates edits in multiple locations and files. Mentat, unlike ChatGPT already knows the context of your project. No copying and pasting required. Mentat can be run from your project directory. Mentat is based on Git. If your project does not already have Git installed, run git-init. Mentat will read and edit the files that you specify as arguments. Mentat will add them all to context. Be careful not to exceed GPT-4 token limit.

Vivid lets you Figma create modular code that auto-updates and your developers can actually use. Figma allows you to create your UI's source-of-truth without having to change your workflow. Vivid uses your existing components in order to create modular code that syncs with your Figma. Designers can take over UI and developers can create the functionality. Your designs can be made into production. Vivid is an in browser styling editor that makes it easy to build frontends lightning fast. Vivid allows you to click on any component on the screen and pull up its code directly in the browser. Any edits to that code are automatically synchronized with your source code. An organized template can be a great help because you will always know what is happening when you look at it. A well-organized codebase makes customization easy and is closely linked to consistency. React allows you to modify components like buttons and sections.

We believe that agentic technology is far too important to be controlled solely by a few companies. We build all our agents on GitHub under the MIT licence. Our agents are capable of doing everything a human developer is capable of. They can write code, execute commands, and use web. We're working with AI safety experts, like Invariant Labs, to balance innovation and security. Thousands of developers work together to create the AI-powered future that they envision. Our agents can be used with any large language models provider.

A lab for applied AI that builds end-to-end agents. We are building AI teammates to help engineering teams achieve more ambitious goals. Devin is the first AI software developer. Devin is a skilled and tireless teammate who is equally willing to build with you or to complete tasks independently for you to review. Engineers can now focus on solving more interesting problems, and engineering teams can achieve more ambitious goals with Devin. Devin's long-term planning and reasoning skills have advanced to the point that he can plan and execute engineering tasks that require thousands of decisions. Devin can remember relevant context at each step, learn with time, and correct 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. We've also given Devin the capability to actively collaborate with users.

Unblocked augments your code with context from Slack Confluence Jira and more, so you can get answers without having to look them up. Unblocked's answers don't require any changes to the way your team works, or extra effort for setup and maintenance. Connect your tools, and you're good to go. Unblocked's understanding of your codebase, architecture and internal practices allows you to get answers quickly without waiting on your teammates or interrupting them. Unblocked displays contextually relevant documents, past discussions and other documents for any open file so that you have the same knowledge of the coders. Team-specific keys are used to encrypt data in transit and at rest, ensuring that access to data across multiple network layers is protected. Customer data will never be used to train models that are shared. Unblocked helps team members to find the answers they require so they can begin contributing immediately.

Open source AI coding engine based on terminals that helps you to complete large tasks, avoid bad output and maximize productivity. Plandex uses long running agents to complete tasks spanning multiple files and requiring many steps. It breaks down large tasks into smaller subtasks and implements them one by one until the job is completed. It helps you get through your backlog faster, work with unfamiliar technology, get unstuck and spend less time doing the boring stuff. Changes are accumulated into a protected sandbox, so you can review them and then apply them to your project files. Version control built-in allows you to easily go forward and try a new approach. Branches let you compare results and try different approaches.

Poolside is building the next-generation AI in software engineering. A model designed specifically for the challenges faced by modern software engineering. Use your knowledge bases, libraries, APIs and practices to fine-tune the model based on how you write software. Your proprietary model continuously learns the way your developers write code. You become an AI company. We're building foundational models, an API and an assistant so that your developers can harness the power of generative artificial intelligence. The poolside stack is deployable on your own infrastructure. No data or code leaves your security perimeter. Ideal for highly regulated sectors like financial services, technology, and defense as well as retail and tech. Your model will ingest your codebases and documentation to create a model tailored to your business & dev teams. Poolside is deployed within your environment, allowing you to securely connect it with your data.

A framework designed specifically to address the challenges of autonomous intelligence. Continue writing software using your language, libraries, APIs and data models. Your own autonomous product that scales and adapts to your development. Automated AI can automate the video creation process by generating, optimizing, and editing content. This reduces manual tasks significantly. Your autonomous system can produce high quality video content by integrating with AI tools such as Luma AI or OpenAI to generate video and scaling text-to speech on Azure. By integrating platforms like YouTube, your autonomous AI can continually improve based upon feedback and engagement metrics. We believe that the best path to AGI lies in orchestrating millions of autonomous systems. We are a small team of passionate researchers and engineers dedicated to building autonomous artificial intelligent. We would love to hear from anyone who finds this interesting.

Visual, intuitive superpowers will accelerate your React development. Drag, drop, and click to prompt your UI in place. It looks like you wrote the code. Use intuitive controls to update Tailwind styling. Just load your app, click anywhere and use the intuitive controls. The code on disk is synced in real-time while you work. You'd swear you wrote it yourself. Let the AI update Tailwind styles so you can focus on what's important. Drag and drop customizable premade building blocks to scaffold UI with ease. Works with MUI and Chakra as well as other component-based libraries. MightyMeld provides a platform for creating and visualizing complex React applications. MightyMeld has a flexible and robust architecture. We are constantly exploring new possibilities such as enhanced support of design tokens, richer interactions on the canvas, and more powerful control in the property panel.

Code completion across your repository. Magic allows you to edit code in your entire repository. Technology has been a tool for decades. Soon, technology will be your best friend.

Duet AI for Developers focuses on challenges across the entire development lifecycle. Code/Boilerplate Generating -- Developers can describe their tasks as a comment or a function name, for example creating a Cloud Pub/Sub Topic. Duet AI generates a reference implementation which can be modified and reviewed, saving developers time. Inline Code Completion - To reduce the amount of time spent on repetitive tasks, and to reduce the cognitive load of tasks like writing repetitive code, or retrieving variable names Duet AI offers intelligent, context aware code completion. This helps reduce the amount of time spent coding, and improves the quality of written code. Enterprise Customization - Organizations often have large code bases, and may also have specific frameworks and best practice recommendations. Generic code assistance solutions are not always the best solution to support these.

CodeAssist plugin/extension sends the code it works with to the CodeAssist API. Your code is processed there to produce a CodeAssist response in the form of a code change or message. The current processing code is not saved on the server. I will let you know if there are any changes. You can only process the file you have opened in the editor if you don't use the "Complete" feature (ALT+X shortcut). If you use the "Complete" feature, it will also process other files in your codebase. CodeAssist will send the code to OpenAI API as part of the response generation process. OpenAI keeps the code for 1 Month to provide and maintain their services, complying with applicable law, enforce their policies, and ensure that they are up-to-date. OpenAI does not use the code to improve their services or train their models.

One-stop AI Coding assistant for your favorite code editor. Supports GPT-4o, Claude 3.5 Sonnet and GPT-4o. Code suggestions in real-time based on cursor position and comments as you code. Select any code to update it with a simple prompt. Modify a function easily or rewrite a class. Chat with the active file or entire indexed codebase, using best models such as Claude 3.5 Sonnet and GPT-4o. You can also send a screenshot for debugging. Monica Code can be asked to create, modify or navigate through multiple files. Monica Code can help you generate code snippets and structures in your preferred language by describing your requirements using natural language. This AI-assisted feature can be used for a variety of programming tasks, ranging from simple scripts to complex application structures.

RoboCoder simplifies programming by converting specs into code. We integrated GPT-4 Turbo's APIs with VS Code to allow it to edit and open files. A powerful AI can help you create a studio-quality maternity shoot by taking a few self-portraits at home. ChatGPT will work with you to create a plan. Then, tell it to get to work. GPT-4 can open files, navigate through your codebase and suggest a patch by using VS Code’s diff tool.

Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly designed for programmers. KodeziChat allows you to ask, search, code, and generate anything in your codebase. Your AI coding assistant! Kodezi does more than fix your code. It also tells you why and how to prevent future problems. To ensure clean code and syntax, reduce unnecessary lines. Optimize your code to maximize efficiency. With detailed explanations, debug code. You can switch from one framework to another in a matter of seconds, without losing context. Commenting and explaining code is crucial for future maintenance. In a matter of seconds, you can generate code from text, answer a question about coding or create a whole function. Generate your code documentation. Translate code into another language. Optimize your code to maximize efficiency. You can use our extension in your own IDE and never need to open new tabs again.