AI Code Generators

Discover top-notch AI tools to streamline your coding workflow and boost productivity.

Ever had that feeling when you're staring at your computer screen, wishing you could clone yourself just to keep up with all your coding tasks? Trust me, I've been there. That's where AI code generators come in and change the game entirely.

Why They Matter

You might be wondering, why should I even care about AI code generators? Well, they promise to save you tons of time and take the grunt work out of coding. Imagine having an assistant that never sleeps, constantly writes flawless code, and speeds up your development process.

What to Expect

In this article, I'll take you through some of the best AI code generators available today. We’ll explore their unique features, strengths, and even some limitations. This way, you'll have a pretty solid idea of which one might become your new best friend in the world of coding.

The best AI Code Generators

  1. 91. Makedraft for speed up html/css template creation

  2. 92. Svelte Smart Doc for effortless svelte code generation

  3. 93. Boostio for enhancing code development efficiency

  4. 94. Rosebud AI for creating game code from text description

  5. 95. Mutable.ai for automated routine code creation

  6. 96. Code Genius for automatic code generation

  7. 97. Codecompanion for automate code generation effortlessly.

  8. 98. Corgea

  9. 99. Copilot For Codemirror

  10. 100. Docuwriter.ai

  11. 101. Kamara

  12. 102. Code Fundi

  13. 103. Codeium

  14. 104. Metabob

  15. 105. Concepto AI

119 Listings in AI Code Generators Available

91 . Makedraft

Best for speed up html/css template creation

"Makedraft" is an AI tool categorized as a code generator. It allows users to generate frontend code based on their instructions, particularly designed for backend developers to quickly iterate on the frontend of their projects, although it can also be used by frontend developers and designers. Currently, Makedraft generates HTML styled with Tailwind CSS and is planned to support Alpine.js and Vue.js in the future. Users need to include the Tailwind CSS library by adding a script tag to the head element of their code to use the generated HTML components. Makedraft is currently in open beta, offering a free tier during this phase with a paid plan available afterwards. Notably, all the HTML components on the Makedraft website, except for the code editor and text content, were generated using Makedraft itself, demonstrating its capabilities. Overall, Makedraft streamlines the process of creating HTML templates by utilizing AI to provide a convenient solution for developers and designers to generate code based on their specifications.

Pricing

Paid plans start at $5/month and include:

  • 150 generations per month
  • Generated code is private
  • Access to beta features
  • Feature requests are prioritized
Pros
  • Makedraft streamlines the process of creating HTML templates by leveraging AI
  • Provides a convenient solution for developers and designers to generate code based on their specifications
  • Makedraft is an AI tool that allows users to create HTML templates based on their instructions.
  • Makedraft generates HTML styled with Tailwind CSS and will soon support Alpine.js and Vue.js.
  • Users need to include the Tailwind CSS library to use the generated code.
  • Makedraft is currently in open beta, available for free.
  • After the beta period, there will still be a free tier available.
  • All the HTML components on the Makedraft website, except for the code editor and text content, were generated using Makedraft.
  • Makedraft streamlines the process of creating HTML templates by leveraging AI.
  • Makedraft generates HTML templates based on user instructions
  • AI tool to create HTML templates for backend developers
  • Generates HTML styled with Tailwind CSS
  • Designed for backend developers to quickly iterate on the frontend of their projects.
  • Generates HTML styled with Tailwind CSS and will soon support Alpine.js and Vue.js.
  • During the beta phase, Makedraft is available for free.
Cons
  • Limited to 150 generations per month
  • Generated code is public for the free plan
  • Missing support for Alpine.js and Vue.js (planned features)
  • Possible limitations in customization options for generated templates
  • Unclear if tool justifies value for money compared to other AI tools in the industry
  • Beta tool with potential stability and functionality issues
  • Limited free tier could restrict usage for heavy users
  • No information on customer support quality or responsiveness
  • Lack of detailed comparison with other AI tools in the industry
  • Uncertainty about the long-term roadmap and development plans
  • Makedraft is currently in open beta, and the tool is available for free during this phase, but after the beta period, there will be a free tier with limitations on the number of generations per month
  • Generated code is public in the free plan, which might not be suitable for users who require privacy for their code
  • Missing features such as support for Alpine.js and Vue.js which are planned for future implementation
  • Value for money may be a concern when considering the limitations on the number of generations per month and the availability of features in comparison to other AI tools in the industry
  • Limited to 20 generations per month in the free plan

92 . Svelte Smart Doc

Best for effortless svelte code generation

"Sveltron" is a code generator optimized for the Svelte framework. It offers several features such as up-to-date Svelte documentation, an intuitive interface, advanced search capabilities, and an automated $types module for full type safety. Developed by a Svelte expert, it aims to enhance the developer experience with convenient tools tailored for Svelte users.

Pros
  • Optimized for Svelte framework
  • Up-to-date Svelte documentation
  • Time-saving intuitive interface
  • Easy documentation navigation
  • Advanced search feature
  • Page data function export
  • Effortless content copying
  • Page content sharing ability
  • Generates $types module
  • Guarantees full type safety
  • Performance optimized with Svelte
  • Developed by Svelte expert
  • Enhances developer experience
  • Convenient features for Svelte users
Cons
  • Optimized for Svelte only
  • Limited export capabilities
  • No language translation
  • No multi-user collaboration features
  • No mobile app version
  • Requires progressive familiarity with Svelte
  • No offline usage
  • Cannot import custom documentations
  • No integrated code editor
  • No inbuilt debugger for Svelte

93 . Boostio

Best for enhancing code development efficiency

Boostio is a tool that leverages Retrieval Augmented Generation (RAG) to enhance code development efficiency. By integrating the power of Generative Pre-trained Transformer (GPT) with the user's own data, Boostio acts as a personalized AI assistant for coding tasks. It offers features such as data analysis, market research facilitation, insights, and report generation, thus contributing to business performance and growth. The tool can work with external data sources including PDFs, APIs, and text files and provides benefits such as automation of customer service, team performance improvement, and aiding in knowledge management. It is suitable for both internal usage and for clients, generating precise and accurate reports for businesses, competitors, and markets.

Pros
  • RAG-enhanced code development
  • Leverages external data
  • Data analysis capability
  • Market research facilitation
  • Business insight extraction
  • Precise report generation
  • Automates customer service
  • Custom training with company data
  • PDF, API, text files integration
  • Efficient knowledge management
  • Aids in team performance
  • Contributes to business growth
  • Data from multiple sources
  • Understanding conversation context
  • Extracts crucial information
Cons
  • No collaboration feature
  • No error detection
  • Limited data sources
  • No keyword search
  • No version control
  • Not open-source
  • Lacks security details
  • No offline availability
  • No SDKs or APIs

94 . Rosebud AI

Best for creating game code from text description

Rosebud is a platform that allows users to describe the game they want to create to an AI, which will then develop the code for them. This enables users to easily create browser-based games that can be shared instantly with friends. The platform offers features such as crafting games in 2D, 3D, and Voxel-style, creating assets and code, customizing AI characters, and generating visual assets for NPCs based on user descriptions.

Pros
  • Open-source software
  • HTML, JavaScript, CSS support
  • Intuitive UI
  • High Customizability
  • Responsive Design
  • Custom themes and plugins
  • Drag-and-drop builder
  • Privacy and security tools
  • Supports latest technologies
  • Requires web development knowledge
  • Potential privacy concerns
  • Limited platform support
  • Inefficient for complex UIs
  • Possibly steep learning curve
Cons
  • Requires web development knowledge
  • Limited platform support
  • Inefficient for complex UIs
  • Possibly steep learning curve
  • Depends on open-source software
  • Customization may be time-consuming
  • Difficult theme development
  • Limited multi-language support
  • No mention of API integration

95 . Mutable.ai

Best for automated routine code creation

Mutable.ai is an AI Accelerated Software Development platform that focuses on enhancing workflow and addressing challenges in team collaboration. The platform offers features such as codebase chat with semantic search, multi-file edit for refactoring, test generation, and repo intelligence for bug detection and team collaboration. It is designed to streamline the software development process and is commended for its advanced AI capabilities, making it a valuable tool in the software development industry.

Pros
  • Create an AI expert for any codebase
  • Human quality assistance with your codebase
  • Create Wikipedia style documentation for your codebase
  • Always up to date documentation
  • Extract answers quickly with AI chat and a non-technical mode for the whole team
  • Revise sections or the whole article with AI, either manually or with the help of AI
  • Codebase chat with semantic search
  • Multi-file edit for easy refactoring
  • Test generation
  • Repo intelligence for bug detection and team collaboration
  • Advanced AI capabilities
  • Valuable tool in the software development industry
  • Create Wikipedia-style documentation for your code
  • An AI-generated wiki for your codebase
  • An AI-generated wiki for your codebase. Could be game-changing for engineering onboarding.
Cons
  • No specific cons or missing features were mentioned in the document.
  • Limited information available on specific cons of using Mutable.ai
  • No specific cons or missing features mentioned in the document provided

96 . Code Genius

Best for automatic code generation

Code Genius is a cutting-edge tool aimed at enhancing the coding experience for developers by providing real-time code analysis, intelligent suggestions, code optimizations, unit test generation, and automated documentation creation. It serves as a valuable companion for developers seeking to optimize their code and streamline their workflow. The tool stands out for its efficiency in error detection, enhancement of coding skills through smart suggestions, and collaboration features suitable for team-based projects. Although it does not specify a preference for a specific programming language, it supports various platforms and offers in-depth problem-solving support.

Pricing

Paid plans start at $6/month and include:

  • Smart suggestions
  • Test Generation
  • Code Improvements
  • Docs Generation
  • Code Genius Chat
  • Premium Support 24/7
Pros
  • Real-time code analysis
  • Intelligent code suggestions
  • Code optimizations
  • Automated unit test creation
  • In-app coding assistant chat
  • Repetitive task reduction
  • Algorithm optimization
  • Syntax enhancement
  • Automated documentation generation
  • Conversational ease with assistant
  • Prompt error rectification
  • Workflow synchronization feature
  • GitHub app for premium
  • Expedited development time
  • Accelerated code efficiency
Cons
  • Limited language support
  • Exclusivity to GitHub users
  • Limited algorithm optimization features
  • Lack of instant troubleshooting
  • Subscription based premium features
  • No offline usage mentioned
  • No multi-platform support mentioned
  • Delayed error detection

97 . Codecompanion

Best for automate code generation effortlessly.

CodeCompanion is an AI-native integrated development environment (IDE) designed to help developers build apps, fix bugs, and refactor code quickly. It is equipped with features such as semantic code search, integrated terminal, browser, and Git functionalities, as well as the ability to browse the web for the latest documentation and update code accordingly. CodeCompanion ensures user privacy and data security by storing all data locally on the system. Developers can use their API keys to access CodeCompanion, which is suitable for projects of any size.

98 . Corgea

Corgea uses AI to quickly fix vulnerable code, supporting GitHub, GitLab, and Bitbucket for developer-friendly security management.

Corgea is an innovative platform designed to revolutionize the way security teams handle vulnerable code. Leveraging the power of AI, Corgea allows engineers to issue fixes swiftly and efficiently without the need for extensive manual review. The platform is integrated with popular repositories like GitHub, GitLab, and Bitbucket, making it extremely developer-friendly. Users can sign up for free and start using Corgea to enhance their code security while saving valuable time and resources. With features like saving hours, increased efficiency, freeing up engineering time, faster fixes, developer-friendly interface, and multi-language support, Corgea offers a dynamic solution for security patch management in today's digital landscape.

99 . Copilot For Codemirror

Copilot for CodeMirror offers GPT-based autocompletion for the CodeMirror text editor, enhancing coding speed and efficiency.

Copilot for CodeMirror is an open-source extension designed to enhance the CodeMirror text editor by providing autocompletion suggestions similar to GitHub Copilot. This tool uses OpenAI's GPT models to offer automatic code completions, which can significantly speed up the coding process and improve efficiency for developers. It seamlessly integrates with the CodeMirror text editor, providing contextual code suggestions and supporting high coding efficiency and productivity. Copilot for CodeMirror is available on npm and was developed by Asad Memon. While it recommends the usage of models like GPT 3.5 Turbo, it does not mandate specific model usage.

Pros
  • Open-source extension
  • Enhances CodeMirror text editor
  • Provides autocompletion suggestions
  • Uses GPT models
  • Automatic code completions
  • Speeds up coding process
  • Seamless CodeMirror integration
  • Contextual code suggestions
  • Available on npm
  • GitHub repository for support
  • Non-mandatory GPT 3.5 Turbo
  • Developer-driven optimization
  • Text editor enhancement
  • Increased coding efficiency
  • Codes with less effort
Cons
  • Limited to CodeMirror
  • Dependent on GPT models
  • No standalone application
  • Autocompletion may disrupt workflow
  • Cannot function offline
  • Potential over-reliance on suggestions
  • May not support all programming languages
  • Could produce redundant code suggestions
  • Lack of advanced customization options
  • Open-source security concerns

100 . Docuwriter.ai

DocuWriter.ai automatically generates accurate code documentation in Markdown, supporting multiple languages, with export options and more.

DocuWriter.ai is an AI-powered tool designed for code documentation. It automatically generates comprehensive and accurate documentation from source code files with a click. The tool supports all popular programming languages, generates documentation in Markdown format, and allows for easy export of the documentation. There are two pricing plans available - the professional plan at $29 per month and the agency plan at $99 per month, offering different code generation limits and additional features such as documentation export options and priority support. Users can also benefit from a trial period before subscribing to a paid plan. DocuWriter.ai focuses on improving collaboration among teams by enhancing code understanding and software quality through automated documentation generation. The tool also offers unlimited history generations, aiding in maintaining software projects over time.

Pricing

Paid plans start at $29/month and include:

  • 200 Generations / Month
  • All Generators available
  • Spaces Included
  • Multi-language support
  • Markdown & PDF export
  • Unlimited history generations
Pros
  • Comprehensive code documentation
  • One-click operation
  • Supports all languages
  • Exports in Markdown
  • Flexible pricing plans
  • Automatic documentation generation
  • Unlimited history generations
  • 5-day trial period
  • Documentation export options (Agency plan)
  • Priority support (Agency plan)
  • Promotes improved collaboration
  • Time-saving solution
  • Enhances software maintainability
  • Boosts software quality
  • Suitable for diverse projects
Cons
  • Limited export formats
  • No free pricing tier
  • Single user focus
  • No visual code mapping
  • Only English documentation
  • No support for niche languages
  • Lacks API documentation features
  • No built-in editor
  • Limited generation in plans

101 . Kamara

Kamara writes and edits code in VS Code using AI, offering efficient, customizable, and user-friendly features.

Kamara is an AI Code Writer designed as a VS Code extension to enhance your programming experience. It acts as an AI-powered coding companion that can write and edit code with precision, implementing features across multiple files based on simple instructions. Kamara is tailored to streamline feature implementation, write and edit code efficiently, provide a customizable experience through a configuration file, offer a user-friendly interface for easy usage, and operate on a credit-based pricing model.

Pricing

Paid plans start at $20/N/A and include:

  • Effortless Integration
  • Intelligent Coding
  • Customizable Experience
  • User-Friendly Interface
  • Flexible Pricing
  • N/A
Pros
  • Effortless Integration
  • Intelligent Coding
  • Customizable experience
  • Flexible pricing
Cons
  • Credit-based system may lead to costs adding up quickly if extensive usage is required.
  • Limited testing with certain languages like Typescript may indicate potential compatibility issues.
  • Kamara works better with short files, which can be a limitation for larger projects.
  • Requires the user to have a clear idea of how to implement tasks for optimal results.
  • May not provide as comprehensive or diverse coding support as other AI tools in the industry.
  • The tool may not justify the value for money considering the price based on credit usage.
  • Potential lack of support for collaborative coding or team-based projects.
  • Lack of information on the development roadmap or future updates.
  • Integration with specific development environments or tools may be limited.
  • Dependency on GPT-4 technology may raise concerns about scalability and future advancements.
  • No specific cons or missing features mentioned in the document.

102 . Code Fundi

Code Fundi enhances coding efficiency by assisting with writing, debugging, and generating code in Visual Studio Code.

Code Fundi is an AI-powered tool that serves as an assistant for developers to enhance coding efficiency. It helps with writing, debugging, and generating code within code editors, especially as a Visual Studio Code Extension. This tool is beneficial for students, developers, and businesses looking to accelerate coding processes and improve code quality. Code Fundi offers features like real-time error debugging, code generation for various programming languages, personalized code explanations, and test creation for error detection.

Pricing

Paid plans start at Free/ and include:

  • Starter Coding AI
  • 1 Day History Retention
  • Live Dashboard
  • Generate up to 1k Text Characters
  • Community Support
  • AI with Conversation Memory
Pros
  • Chat: Engage in direct conversations with Code Fundi to gain insights and solutions.
  • Refactor & Debug: Get suggestions for code optimization and immediate debugging assistance.
  • Code Generation: Quickly spawn boilerplate code for new projects and ideas.
  • Code Explanation: Receive breakdowns and simplifications of code in any language for better understanding.
  • Test and Error Detection: Analyze and test code to detect potential errors efficiently.
  • Code Fundi is an AI-powered tool designed to enhance coding efficiency by assisting developers in writing, debugging, and generating code with ease.
  • It functions as an AI assistant within code editors, particularly as a Visual Studio Code Extension, facilitating faster development times and improved code quality.
  • Code Fundi offers features like real-time error debugging, code refactoring, code generation for various programming languages, and personalized explanations of code segments.
  • The tool is tailored for students looking to expedite learning and assignment completion, developers aiming to upscale their productivity, and companies seeking to accelerate product launches.
  • Code Fundi provides packages ranging from free to pro and enterprise tiers, suiting different levels of need and including credits for daily usage, history access, and an array of coding services.
  • The aim of Code Fundi is to deliver bug-free code more rapidly by providing solutions within the coding environment, minimizing external searches for fixes and concepts.
  • Top Features include Chat for direct conversations, Refactor & Debug for optimization suggestions, Code Generation for spawning boilerplate code, Code Explanation for breakdowns in any language, and Test and Error Detection for efficient error analysis.
  • The tool simplifies and explains code in any language, saving time and effort.
  • Code Fundi offers automated code scanning and error resolution to help developers move faster with their projects.
  • Users can engage in dynamic conversations for in-depth, technical insights and support.
Cons
  • No specific cons or missing features mentioned in the provided information.
  • No specific cons or drawbacks of using Code Fundi are mentioned in the provided document.
  • No specific cons or missing features were identified in the provided information about Code Fundi.
  • No specific cons or missing features of using Code Fundi were mentioned in the provided documents.
  • No specific cons or missing features were mentioned in the document for Code Fundi.
  • No specific cons or disadvantages of using Code Fundi were mentioned in the uploaded documents.

103 . Codeium

Codeium aids developers with fast code completion, search, and chat for various languages.

Codeium is an AI-powered tool designed to assist developers with code completion, search, and chat capabilities for various programming languages. It offers features like lightning-fast speed, high-quality suggestions, integration with IDEs, search functions, and a chat feature for real-time communication and collaboration among developers. Codeium is free to use for individuals and aims to enhance developers' productivity and coding experience.

Pricing

Paid plans start at $12/month and include:

  • Unlimited code autocomplete
  • In-editor AI chat assistant
  • Trained on permissive data
  • Encryption in transit
  • Support via Discord
  • Admin usage dashboard
Pros
  • Lightning-fast speed
  • State-of-the-art suggestion quality
  • Comprehensive language support
  • Enhanced coding experience
  • Boost productivity
  • AI code completion saves time
  • Provides accurate and relevant code suggestions
  • Powerful search function
  • Instantly search through extensive database of code snippets
  • Useful for novice programmers
  • Real-time communication and collaboration
  • Seamless communication within coding community
  • Enhances productivity
  • Helps write clean, efficient code
Cons
  • Comparison with other tools needed for more detailed analysis
  • Missing features like GPT-4 support
  • Limited number of IDEs supported
  • Limited number of languages supported

104 . Metabob

Metabob enhances software security by using AI to detect, explain, and repair coding issues.

Metabob is an AI tool that leverages generative AI and graph-attention networks to conduct code reviews and enhance software security. It can detect, explain, and repair coding issues generated by humans and AI. Metabob also recognizes and categorizes hundreds of contextual code problems which traditional static code analysis tools might miss. It improves software security by preventing known vulnerabilities from being merged into the main codebase and is compliant with major software security industry standards such as SANS/CWE top 25, OWASP top 10, and MITRE CWE.

Metabob utilizes a Graph Neural Network with an attention mechanism to understand both semantic and relational markers for a comprehensive representation of the input. When problematic code is detected and classified, the data is stored in Metabob's backend, and a Large Language Model generates a context-sensitive problem explanation and resolution.

This tool can detect and classify various code issues like race conditions and unmanaged edge cases, providing context-sensitive code recommendations, and improving code maintainability and software security. It can be deployed on-premises, tailored to detect problems relevant to a specific team, and outperforms traditional static code analysis tools by utilizing generative AI.

Overall, Metabob assists in preventing security vulnerabilities, complies with industry standards, offers project metrics and insights into team productivity, provides refactoring recommendations, and aids in detecting and resolving software bugs and security vulnerabilities using its trained AI and advanced technology.

Pros
  • Context-sensitive code recommendations
  • Enforces code quality
  • Provides project metrics
  • Improves team productivity
  • Can be customized
  • On-premises deployment
  • Prevents known security vulnerabilities
  • Compliant with software security standards
  • Identifies and learns bug causes
  • Detects context-based problems
  • Trained on millions of bug fixes
  • Replaces several traditional tools
  • Integrated with security gateways
  • Works for teams and enterprises
  • Increases developer productivity
Cons
  • Limited language support
  • False positives despite low rate
  • Requires integration with code repositories
  • On-premise deployment complexities
  • Might overlook non-traditional bugs
  • Potential privacy issues with code data
  • Inflexible with non-standard coding practices
  • Dependent on bug-fix data accuracy
  • Limited to VS Code extension

105 . Concepto AI

Concepto AI converts UI designs into code automatically, utilizing AI, ensuring privacy, and offering flexible deployment options.

Concepto AI is an open-source tool that focuses on rapid prototyping by leveraging AI technology. It allows users to convert UI designs into usable code automatically, making it a valuable resource for developers and designers. The tool is built with Next.JS and Tailwind CSS, utilizing the GPT4-V model to generate code from image inputs. Concepto AI offers both self-hosting and cloud-hosting options, ensuring flexibility in deployment. Importantly, Concepto AI prioritizes user privacy by not tracking activities or storing generation data.

Pricing

Paid plans start at ££3.99/month and include:

  • Bring your own API key
  • Standard Support
  • Access to our cloud platform (API edition)
Pros
  • Open-source tool
  • Rapid prototyping capability
  • Automatic UI-to-code conversion
  • Built-in design editor
  • Code generation from images
  • GPT4-V model utilization
  • Privacy-friendly operation
  • No user tracking
  • No generation data storing
  • Built with Next.JS 14
  • Tailwind CSS integration
  • Lightweight Design
  • Fast performance
  • Generates Tailwind CSS compatible code
  • CDN support
Cons
  • Depends on Tailwind CSS
  • Limited to UI prototyping
  • Requires self-hosting knowledge
  • Cloud-hosting possibly expensive
  • Limited editor capabilities
  • May generate suboptimal code
  • Compatibility issues with other CSS
  • Next.JS 14 might have limitations
  • Exclusively uses GPT4-V model