AI coding apps

Makedraft is an AI tool that allows users to create HTML templates based on their instructions. It is primarily designed for backend developers to quickly iterate on the frontend of their projects, but it can also be used by frontend developers and designers. Currently, Makedraft generates HTML styled with Tailwind CSS, and it will soon support Alpine.js and Vue.js as well.To use the generated code, users need to include the Tailwind CSS library by adding a script tag to the head element of their code.Makedraft is currently in open beta, and the tool is available for free during this phase. After the beta period, there will still be a free tier available, ensuring no surprise charges.Interestingly, all the HTML components on the Makedraft website, including the dashboard, were generated using Makedraft itself, except for the code editor and text content. This showcases the tool's capabilities in a meta and self-referential way.Overall, Makedraft streamlines the process of creating HTML templates by leveraging AI, providing a convenient solution for developers and designers to generate code based on their specifications.

SnippetHub is an AI-powered tool integrated into VS Code designed for developers to streamline, expedite, and enhance their coding experience. The tool provides several AI features for code optimization and management. One of the primary features, 'AI Test Storm', empowers developers to quickly generate unit tests leveraging top AI models. This helps in saving considerable time and improving code quality. It also offers an 'AI Lens' feature that allows developers to get on-spot results by defining custom instructions. Additionally, an AI chat feature is accessible directly within the VS Code. This feature facilitates an AI-assisted dialogue in the context of the selected code, providing smart insights and helping in faster resolution of coding challenges. SnippetHub also aids in effective code snippets management through IntelliSense smart suggestions integrated right in VS Code. The tool supports over 30 of the most popular programming languages. A note-worthy benefit of SnippetHub is its potential to significantly enhance the return on investment by reducing the time spent on unit test writing.

- CodeKidz AI is an educational platform that teaches kids how to code using artificial intelligence. - It offers interactive lessons, game-based challenges, and development tools to make learning to code fun and accessible to younger users.

Continuum is an AI-powered tool designed to aid in software development and coding via natural language interaction. Its core functionality revolves around making coding more intuitive by enabling developers to converse with their codebase, implement new features, refactor, and understand how their own code functions. Possessing the capability to work with large codebases swiftly, Continuum also ensures full encryption and secure handling of all sensitive files, offering optional data security reports without third-party data retention. Its flexibility is eminent in its ability to generate complex code changes, debug exceptions, assist in feature ideation, and explain implementations, grounded fully in the context of your own codebase. Continuum stands different from other codegen tools, like Copilot, by creating a comprehensive model of your codebase, enabling interaction with it in natural language. Despite its sophisticated capabilities, Continuum is designed to be a tool and not an autonomous agent, aiming to increase developer productivity without undermining their decision-making. Enterprise integration options are available with various data sources and communication channels, such as Slack, Trello, Jira, and Asana. For additional security, there is the possibility of self-hosting and single-tenant arrangements for enterprise customers. Continuum supports multiple programming languages and is essentially language-agnostic, but it offers enhanced support for languages like Python, Java, JavaScript, C, C++, Go, and Julia.

Our platform Infrastructure and tools to power your in-app communication Enterprise ready Global infrastructure, multi-region capabilities, multi-tenancy, and 24/7 support. Ready for scale whenever you are. Startup friendly Great docs, friendly pricing, and implementation options for every developer skillset help you build and implement quickly. Developers Integrate CometChat into any mobile app in minutes With a few lines of code you can have CometChat integrated into any app written in React, iOS, Android, Flutter, and 12+ other languages.

Momentic is a low-code platform that employs AI to automate the process of software testing. This tool allows developers to construct end-to-end (E2E) tests swiftlyeliminating the need for lengthy setup periods. Momentic is designed to maximize efficiency by allowing the AI to handle complex tasks such as identifying elements, reasoning about assertions, conducting visual comparisons, and even orchestrating complete tests. Furthermore, Momentic allows elements to be located based on their visual presence and accessibility attributes as opposed to using XPath or CSS selectors. The platform supports the crafting of assertions from any logical statement or visual condition, and it can record user interactions for test generation. Developers can use Momentic's local app to create and run tests during development without the need for app deployment. The platform also includes capabilities for saving tests within the codebase, keeping tests updated during development, and executing tests in any CI/CD provider environment. The artificial intelligence incorporated in the tool helps to track in-flight requests and waits for their completion. On top of that, it offers customizable step generation to achieve designated goals and allows arbitrary JavaScript code execution to establish the environment for a test.

The Open Interpreter Project is a free and open-source code interpreter designed for running code on computers to accomplish various tasks. This tool allows LLMs (Limited Language Models) to execute code through a web browser. It provides a new approach to utilizing computers by enabling the execution of code to carry out specific functions.Open Interpreter is an open-source project, which means the underlying code is publicly available and can be modified and distributed freely. Users have the freedom to view, modify, and contribute to the development of the tool according to their specific needs.The website for Open Interpreter provides additional resources such as documentation on how to use the tool and a contact section for support. The project is hosted on GitHub, where users can find the code repository and contribute to its development.The tool aims to offer a practical solution for executing code, and it highlights its versatility by showcasing a video demonstration on its GitHub page. The Open Interpreter Project strives to provide a user-friendly and accessible platform for running code efficiently, making it a useful addition to the AI directory for anyone looking for an open-source code interpreter.

Pezzo is an open-source AI development toolkit that aims to simplify various aspects of AI development. It offers features such as prompt design, version management, publishing, collaboration, troubleshooting, and observability. Pezzo's primary goal is to empower individuals and teams to harness the power of AI with maximum productivity and visibility.With Pezzo, users can manage their AI prompts and versions effortlessly, allowing for instant delivery of AI solutions. The toolkit also provides capabilities for A/B testing, targeting, and experiments to increase conversion rates. Collaboration is encouraged, as any member of an organization can contribute to the impact of AI.Pezzo offers an opportunity to optimize spending on AI operations, potentially saving up to 50%. Real-time trading, advanced charts, and saving accounts are some of the additional features that Pezzo provides to enhance the AI development experience.For troubleshooting purposes, Pezzo offers a full execution history, time-travel, and debugging features with real data. Moreover, Pezzo enables users to deploy every AI change confidently by providing comprehensive test suites.The toolkit is open source, and users can show their support by giving it a star on GitHub. Pezzo's cloud service is also launching soon, and users can sign up for early access.In conclusion, Pezzo is a comprehensive AI development toolkit that aims to simplify the AI development process, enhance collaboration, optimize spending, and provide troubleshooting capabilities for users.

CodeStory is an AI-powered modification of Visual Studio Code (VSCode) that introduces a novel approach to software development. Unlike traditional manual coding, CodeStory allows users to interact with their code by simply describing what they want, and the AI agent takes care of the rest. This AI agent, built on the foundations of VSCODE, offers various functionalities such as editing across files, searching, refactoring, and debugging.The tool supports prompt-based interactions where users can instruct the AI agent to perform specific tasks and witness the magic unfold. It seamlessly integrates with VSCODE, allowing users to migrate effortlessly while retaining their favorite extensions, shortcuts, and customizations. CodeStory offers several valuable features, including code explanations with surrounding context, auto-generated pull request summaries, and changelogs created with full context. It also enables intuitive search, eliminating concerns about syntax. The tool facilitates interactive management of merging and refactoring tasks, preventing chaos within the codebase.Supported languages are continually expanding, with more to come in future updates. CodeStory ensures compatibility with new VSCODE releases, providing users the freedom to choose without compromising on features.Although more features are in development, interested users can try an early build of CodeStory to explore its capabilities. The tool is supported by a blog and changelog, and the company behind it has a Y Combinator profile, a Discord community, and a presence on Twitter and LinkedIn.

Phind is an AI search engine developed for developers. It provides users with the ability to customize their search and set it as a default. It also provides an "Explore" feature, which uses AI to provide users with related topics and suggestions, as well as a "Surprise Me" feature that randomly selects topics for users to explore. Phind is powered by Hello Cognition, Inc. and is made with ❤️ in San Francisco.Phind is a powerful tool for developers looking to quickly and efficiently find relevant information on various topics. It allows users to quickly search for topics using keywords and phrases, and provides suggestions based on AI algorithms. It also provides a "Surprise Me" feature that randomly selects topics for users to explore. Additionally, users can customize their search and set it as a default. This makes it easier to quickly find the information they need without having to manually search each time.

Mutable.ai is an AI-accelerated software development tool that helps developers create high quality code quickly and easily. It features AI-autocomplete, which reduces the time spent on boilerplate and Stack Overflow coding, as well as production quality code with one click. The tool also has prompt-driven development, allowing developers to give instructions to the AI to modify their code. Additionally, it offers test generation capabilities (coming soon), which automatically generates unit tests with AI and metaprogramming. Mutable.ai works with VS Code, Jupyter, and GitHub, and can be integrated with existing workflows. It is available on the Visual Studio Marketplace, and users can book a demo to find out how it can improve their workflow.

GitLab's AI-assisted Code Suggestions is a tool designed to enhance coding productivity and accelerate software development. It provides generative AI-powered suggestions for code while developers are working, allowing them to complete entire lines of code with a single keystroke, quickly start functions, fill in boilerplate code, and generate tests, among other tasks. The tool prioritizes data privacy and security, as it keeps proprietary source code protected within GitLab's enterprise cloud infrastructure and does not use code as training data. Source code inference against the Code Suggestions model is not retained. Code Suggestions utilizes open-source pre-trained models that are continuously fine-tuned with a customized open-source dataset. This enables support for multi-language coding and additional use cases. Currently, it supports 13 programming languages including C/C++, C#, Go, Java, JavaScript, Python, PHP, Ruby, Rust, Scala, Kotlin, and TypeScript.GitLab has future plans to expand the tool's capabilities. They are working on providing Code Suggestions for self-managed instances through a secure connection to GitLab.com. Additionally, they aim to improve the user experience by offering support for additional IDEs such as JetBrains IntelliJ-based IDEs and Visual Studio. They also plan to enhance how suggestions are presented and accepted within IDEs, giving developers more control over the feature.Overall, GitLab's AI-assisted Code Suggestions aims to empower developers by providing intelligent code suggestions, optimizing coding efficiency, and ensuring data privacy and security.