Due to the development of generative AI technologies, progress and interest in code generation applications have surged.
These technologies use machine learning algorithms and natural language processing to help developers automate the laborious and time-consuming parts of coding. They assist in the production of better and more efficient code by automating regular coding components.
Here are some of the leading generative AI tools in the code generation space:
Best Tools To Transform Designs Into Code With AI
Locofy.AI
Locofy enables users to convert their designs into front-end code for mobile and web applications ready for production. They can convert their Figma and Adobe XD designs to React, React Native, HTML/CSS, Gatsby, Next.js, and more.
Anima
Anima is a design-to-code platform that allows designers to make high-fidelity animations and prototypes from their design software. It enables designers to generate interactive prototypes by integrating with popular design tools like Sketch, Adobe XD, and Figma.
Best Cloud-based IDE With AI
Replit
Replit is a cloud-based IDE that assists developers in writing, testing, and deploying code. You can build software collaboratively from anywhere in the world, on any device, without spending a second on setup. It includes various templates and starter projects to aid users in getting started quickly and supports a range of programming languages, such as Python, JavaScript, Ruby, C++, etc.
Best Code Completion / Generation With AI
Tabnine
TabNine is an AI-driven code completion tool that uses generative AI technology to suggest subsequent lines of code based on context and syntax. It can be incorporated with popular code editors such as VS Code, IntelliJ, Sublime, and more and supports various programming languages, including JavaScript, Python, TypeScript, Rust, Go, and Bash.
- Whole-line & full-function code completions
- Natural language to code completions
- Learns your coding patterns & style
Hugging Face
Hugging Face is like the home of machine learning. The platform provides free AI tools for code generation and natural language processing. It avails the GPT-3 model for code generation tasks, like auto-completion and text, summarizing.
Below are some task models you can see at Hugging Face
Multimodal:
- Text-to-Image
- Image-to-Text
- Visual Question Answering
- Document Question Answering
- Image-to-Image
- Video Classification
- Zero-Shot Image Classification
Feature Extraction:
- Image Classification
- Object Detection
- Image Segmentation
- Depth Estimation
Natural Language Processing:
- Text Classification
- Token Classification
- Table Question Answering
- Question Answering
- Zero-Shot Classification
- Translation
- Summarization
- Conversational
- Text Generation
- Text2Text Generation
- Fill-Mask
- Sentence Similarity
Safurai
Safurai is an AI Code Assistant that helps developers solve bugs, refactor, document, test, code, and more. Safurai is an AI-powered extension for IDE that aims to aid developers in coding, debugging, and refactoring tasks. It is a virtual assistant offering solutions and suggestions for any software development issues. By utilizing Safurai, developers can enhance their workflow and code quality, resulting in a more efficient and streamlined development process.
GitHub Copilot
OpenAI and GitHub have partnered to develop GitHub Copilot, an AI-powered code completion tool. As coders type code in their preferred code editor, it uses OpenAI’s Codex to propose code snippets. It can transform natural language prompts into coding propositions for numerous languages.
Codeium
Like Github Copilot, you can type comments in natural language and let Codeium do the code completion for you. Codeium has seen thousands of different API calls and can insert them properly to match your needs without ever leaving the IDE. Also, it autogenerates test cases for you. Compared to Github Copilot, it’s a free platform.
Mutable AI
Mutable AI offers an AI-driven code completion tool that helps developers save time. Most of the users prefer Mutable AI compared to GitHub Copilot. It enables users to instruct the AI to modify their code directly and provides production-quality code with a single click. It also introduces the automated test generation feature, which enables users to generate unit tests automatically using AI and metaprogramming.
AI To Build Apps & Websites
Debuild
Debuild is a web-based platform that generates code for creating websites and online applications using artificial intelligence. They claim that users can construct unique websites using its drag-and-drop interface without knowing how to code, and it offers collaboration features so that teams can work on website projects together. It is still in beta, and you must join the access waiting list.
Durable
Durable offers an AI website builder that creates a website with photos and text content in seconds. It automatically determines the user’s location and creates a unique website depending on the exact nature of their business. It is a user-friendly platform requiring no coding or technical know-how.
Best Code Debugging, Documentation With AI
Codacy
Codacy is a code quality tool that uses AI to evaluate code and detect mistakes. It provides developers with immediate feedback and helps them maximize their coding abilities. It supports multiple programming languages and allows for smooth integration with various platforms, such as Slack, Jira, GitHub, etc.
Metabob
Metabob is a static code analysis tool for developers that uses artificial intelligence to find and fix hidden issues before merging code. It provides actionable insights into a project’s code quality and reliability. It is accessible on VS Code, GitHub, and other sites and is compatible with many commonly used programming languages.
Bloop.ai
You can ask questions about large codebases, like speaking to ChatGPT and sharing code using Bloop, an in-IDE code search engine. It comprehends user codebases, summarizes complex topics, and explains the purpose of code when answering natural language queries.
In conclusion, the development of generative AI technologies has led to a surge of progress and interest in code-generation applications. These technologies utilize machine learning algorithms and natural language processing to automate the tedious and time-consuming coding parts, resulting in better and more efficient code. Future coding will be very exciting and more people will be able to code even without less experience in coding.
