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. 46. Codefy for automate repetitive coding tasks

  2. 47. Seniordev for automated code quality assurance

  3. 48. SnippetHub for automated code generation

  4. 49. What The Diff for enhanced code review efficiency

  5. 50. CodeParrot for convert figma designs to react code

  6. 51. CodeAssist for automated feature implementation

  7. 52. CodeSquire for automating data analysis tasks

  8. 53. Whattocode for generating practice coding challenges

  9. 54. CodeRabbit for automated code creation

  10. 55. Pixels2Flutter for automated prototype development

  11. 56. GPT Engineer App for automated code snippet creation

  12. 57. Ellipsis for automated feature implementation

  13. 58. Kombai for automate front-end development

  14. 59. AI Love Code for efficient source code generation

  15. 60. AutoCode Pro for ai-driven codebase creation

119 Listings in AI Code Generators Available

46 . Codefy

Best for automate repetitive coding tasks

Codefy.ai is an AI-first coding toolkit that provides developers with a set of useful coding widgets to enhance their workflow. It includes tools like Code Writer, Code Explainer, Code Debugger, and more, aiming to help users speed up their coding journey and streamline their development workflow. Codefy.ai supports all programming languages, offers token optimization for efficient coding, real-time token counting, lightning-fast keyboard shortcuts, and features like code visualization for better code understanding. The platform encourages sharing custom tools with the community and emphasizes prompt engineering simplification through generative AI.

Pros
  • Supports all programming languages
  • Regularly updated tools
  • Pre-programmed forms for prompts
  • Custom tool pipelines
  • Streamlined development workflow
  • Optimized prompt engineering
  • Shared tool pipelines
  • Suitable for all developers
  • Free to start
  • Advanced features for price
  • Flow Editor feature
  • Real-time token counting
  • Lightning-fast keyboard shortcuts
  • Token-optimized for efficiency
  • Excludes redundant explanations
Cons
  • Account termination in abuse cases
  • No explicit support for team collaboration
  • Requires continuous online updates
  • No named versioning
  • Limited customization of tools
  • Pricing for advanced features

47 . Seniordev

Best for automated code quality assurance

SeniorDev is a tool categorized under "Code Generators" that aims to streamline the software development process by providing faster and more accurate code reviews and managing documentation processes. It integrates with code repositories like GitHub/Gitlab to analyze pull requests, uses AI models to assess changes, and provides instant feedback on the code. SeniorDev maintains code privacy and integrity by not utilizing user's code to train its AI model and by not storing any user's code or pull requests, ensuring data security and privacy.

Furthermore, SeniorDev supports a wide range of programming languages and provides feedback in plain English for any supported development language. It offers a free personal trial for users to evaluate its services without cost and prioritizes data security and privacy by avoiding the use of user code to train its AI model and not storing or retaining any code or pull requests. By requiring full access to the user's Git repository, SeniorDev can provide feedback with relevant context for accurate code reviews. The tool also aims to improve efficiency and accuracy in code reviews and documentation processes through automation.

Pros
  • Instant code review feedback
  • Automated documentation updates
  • Integrates with Github/Gitlab
  • Maintains code privacy
  • Does not retain code
  • Supports range of languages
  • Free personal trial
  • Improve productivity by 15%
  • Feedback in plain English
  • Privacy and data security priority
  • Doesn't train on your code
  • Options to extend or upgrade
Cons
  • Requires full code access
  • No code stored (data retrieval limitations)
  • Needs Git repository integration
  • No offline mode
  • Free trial duration unspecified
  • No specific documentation authoring rules
  • Dependent on GitHub/GitLab availability
  • Code privacy trustworthiness
  • Requires frequent plan upgrades
  • Limited programming languages support

48 . SnippetHub

Best for automated code generation

SnippetHub is an AI-powered tool categorized under Code Generators. It is designed to integrate with Visual Studio Code (VS Code) and offers various features such as unit test generation, AI-assisted coding, and code management. SnippetHub supports over 30 popular programming languages and aims to optimize and manage code to enhance developers' coding experience and efficiency.

Pricing

Paid plans start at $7/month and include:

  • Unlimited Mixtral 8x7B tokens
  • 5 AI Lenses
  • 16k GPT-3.5 Turbo AI Model
  • Up to $7 of GPT-3 AI Credits
  • 300 personal snippets
  • Editors Integration
Pros
  • VS Code integration
  • Unit test generation
  • Programming languages support
  • IntelliSense integration
  • Code management
  • Code optimization
  • ROI Calculator
  • One-click custom instructions
  • Snippet sharing
  • Direct use of snippets
  • Effective snippets management
  • Generates unit tests quickly
  • Fast resolution of coding challenges
  • Supports 30+ popular languages
  • Improves coding efficiency
Cons
  • Limited to VS Code
  • No multi-code editor integration
  • Data privacy concerns
  • Limited languages support (30+)
  • No information about error handling
  • No detailed tutorial provided

49 . What The Diff

Best for enhanced code review efficiency

"What The Diff" is an AI-powered code review assistant categorized under "Code Generators." It assists in streamlining the pull request process by automatically generating pull request descriptions, sending summarized notifications to non-technical stakeholders, and aiding in code refactoring. The AI-powered features include automated PR descriptions, rich summary notifications, beautiful changelogs, weekly progress reports, inline AI refactoring, and fine-granular settings for managing token consumption.

The tool operates by using the GitHub/Gitlab API to access the diff of pull requests and then employs an AI model to create descriptions of the changes in plain English. It does not store code or diffs and supports various programming languages. If users run out of tokens, they can upgrade to a larger plan or wait for the next billing cycle. Unused tokens do not roll over to the next month, and the tool does not train its AI model with user code.

Pricing

Paid plans start at $19/month and include:

  • Automated PR Descriptions
  • Rich Summary Notifications
  • Beautiful Changelogs
  • Weekly Progress Reports
  • Inline AI Refactoring
  • Finegranular Settings
Pros
  • Automated PR Descriptions
  • Rich Summary Notifications
  • Beautiful Changelogs
  • Weekly Progress Reports
  • Inline AI Refactoring
Cons
  • Usage-based pricing model may lead to unexpected costs if token consumption is not carefully monitored
  • Limited free plan with 25,000 tokens per month may not be sufficient for larger teams or projects
  • No information provided on the availability of advanced features typically offered by similar tools in the industry
  • Comparatively higher price of $19/month for the Pro - 200k plan may not justify the features offered in relation to other AI tools in the code review industry
  • No mention of integrations with popular project management or version control tools, which could limit workflow automation
  • No details on the training and accuracy of the AI model used, raising concerns about the quality of generated pull request descriptions
  • Lack of user reviews or testimonials to provide insights into the practical benefits and user experiences of the tool
  • Unclear if the AI model supports specific programming languages or specialized code conventions that may be relevant to diverse development environments
  • No information on the scalability of the tool for handling large volumes of pull requests or complex codebases
  • Absence of a community or support forum for users to seek help or collaborate on enhancing the tool

50 . CodeParrot

Best for convert figma designs to react code

CodeParrot is an Artificial Intelligence powered tool designed to streamline the coding process for developers and designers by converting Figma Design into usable code components for React, Vue, or Angular. It helps in automating business logic tasks, code refactoring, and writing tests, thereby improving efficiency and productivity in creating web elements. The tool also features a contextual search option for quick AI-backed solutions to code errors, ultimately saving time and enhancing the coding experience. The primary function of CodeParrot is to convert Figma Design into usable code components, automating what is traditionally a manual and time-consuming process.

The tool ensures the reuse of existing components, libraries, and coding standards by using AI algorithms to generate code, allowing seamless integration with an existing codebase without the need for adaptation or alteration. The vscode extension of CodeParrot enables a continuous workflow without the need to switch between the IDE and the design platform, enhancing user experience through seamless integration. The creators of CodeParrot, including Royal Jain and Vedant Agarwal, aim to solve coding challenges by combining technological skills with firsthand experience.

Testimonials from users highlight the effectiveness of CodeParrot in speeding up mundane tasks, frontend development, and improving code quality, making it an indispensable tool for developers looking to enhance efficiency and productivity in their projects.

Pros
  • Figma Design Conversion
  • Supports React, Vue, Angular
  • Generates code from Figma URL
  • Automates business logic tasks
  • Automates code refactoring tasks
  • Automates writing tests
  • Contextual search feature
  • Reuses components, libraries, standards
  • No need to adapt code
  • Vscode extension for better UX
  • Eliminates IDE-Design platform switching
  • Browse and click code generation
  • Developed by experienced developers
  • Turn designs into usable code
  • Improves coding efficiency
Cons
  • Limited to Figma Design
  • Favors React, Vue, Angular
  • Dependent on internet connection
  • Potential inaccurate code generation
  • Limited error resolution with Contextual Search
  • Plugin only for vscode
  • Doesn't support other design tools
  • No standalone app
  • Favors existing components, libraries

51 . CodeAssist

Best for automated feature implementation

Codeassist is an innovative AI programming assistant designed for developers seeking a more intuitive coding experience. It offers a natural language interface, allowing users to communicate with it as they would with a human colleague. Powered by GPT-4, Codeassist can generate code, perform actions like opening files, and make modifications directly in the editor. It works with popular programming languages and considers context from other files when generating code completions. Users can install Codeassist in JetBrains IDEs or Visual Studio Code by following specific instructions. It operates by sending the code to the Codeassist API for processing and does not store the code on the server. Codeassist is a paid tool that provides 3 free credits initially for users to try its services.

Pricing

Paid plans start at $1/credit and include:

  • Natural Language Interface
  • Code Access and Modifications
  • GPT-4 Powered
  • Developer Supervision
  • Multilanguage Support
Pros
  • Natural Language Interface: Communicate with CodeAssist as you would with a human colleague.
  • Code Access and Modifications: Directly reads and writes to the open file in your editor streamlining your workflow.
  • GPT-4 Powered: Harness the capabilities of the latest AI to generate code and perform actions.
  • Developer Supervision: Implement entire features with CodeAssist fine-tuning its output with your expertise.
  • Multilanguage Support: Compatible with all popular programming languages enabling flexible development across projects.
Cons
  • Makes lots of mistakes like incorrect indentation, which the developer needs to fix
  • An early version, so it might contain unexpected bugs or annoyances
  • Known bug in Visual Studio Code where the message history disappears under certain conditions
  • Limited long-term memory as it is not persistent
  • CodeAssist is a paid tool, which may not justify the value for money considering the price of credits
  • The processing of the code it works with involves sending it to an external server, which may raise privacy concerns for some users
  • The ability to implement entire features still requires developer supervision to correct mistakes
  • No mention of integration capabilities with version control systems or collaboration tools, which can be a limitation for team development
  • No information provided regarding the customization options or extensibility of CodeAssist to tailor its behavior to specific developer needs
  • Lack of clarity on the frequency of updates and roadmap for future improvements

52 . CodeSquire

Best for automating data analysis tasks

CodeSquire is an advanced AI code writing assistant designed specifically for data scientists. It provides tailored code suggestions, functions, and translations into SQL queries to streamline the coding workflow of data scientists. CodeSquire can generate entire functions optimized for specific data science use cases, saving time and ensuring efficiency in coding tasks. By leveraging AI, CodeSquire offers intelligent suggestions, auto-completions, and real-time recommendations to enhance the coding experience for users across various development platforms such as Jupyter, VS Code, Pycharm, and Google Colab.

53 . Whattocode

Best for generating practice coding challenges

"Whattocode" is a platform that offers AI-generated coding challenges for self-taught developers looking to transition into a frontend development career. Users can access coding challenges ranging from simple UI components to full-fledged Single-page Applications (SPAs) to help them build and enhance their coding skills. The platform aims to help users save time by providing tailored coding challenges instead of spending hours browsing through tutorials on platforms like YouTube or Udemy. Users can easily configure the challenge generator on Whattocode.io to meet their coding goals and start coding towards a career in frontend development.

54 . CodeRabbit

Best for automated code creation

CodeRabbit is an innovative AI-driven platform categorized under Code Generators. It has revolutionized the landscape of AI-assisted software development by providing instant and accurate feedback on pull requests, catching real issues efficiently. It offers auto-generated summaries, line-by-line code suggestions, and facilitates contextual conversations within GitHub's comment threads. Trusted by numerous organizations and developers, CodeRabbit processes millions of pull requests daily, emphasizing code quality improvement and time-saving benefits.

Pros
  • Provides instant and accurate feedback on pull requests
  • Auto-generated summaries and walkthroughs are helpful for human code reviewers
  • Contextual conversations with AI within GitHub's comment threads
  • Significantly increases productivity and streamlines code review process
  • Intelligent suggestions and automated code analysis
  • Encourages deeper review of the code
  • Serves as a co-pilot for PR reviewers, enhancing efficiency
  • Reduces the amount of time code changes spend in review
  • Elevates code quality through automated reviews
  • Offers line-by-line feedback on code changes
  • Suggests improvements and corrections to enhance code efficiency and robustness
  • Enhances the quality of code reviews
  • Revolutionizes code review process
  • Provides comprehensive reviews with deep insights
  • Enables chat interactions with CodeRabbit
Cons
  • No specific cons or missing features are mentioned in the provided documents for using Coderabbit.
  • No cons were found in the provided documents.

55 . Pixels2Flutter

Best for automated prototype development

Pixels2flutter is a cutting-edge tool that simplifies app development by converting UI screenshots directly into functional Flutter code. It caters to the needs of both experienced Flutter developers looking to streamline their workflow and beginners aiming to grasp the process of translating visual designs into code. By uploading a UI screenshot, pixels2flutter intelligently generates Dart code compatible with the Flutter framework, saving time and ensuring accurate and efficient design-to-code conversion. This tool offers features such as efficient UI conversion, time-saving automation of code generation, precision in translating UI elements into code, user-friendliness for developers of all levels, and seamless integration with the Flutter framework.

56 . GPT Engineer App

Best for automated code snippet creation

Gptengineer.app is an AI-first tool designed with humans in the loop. It offers various capabilities such as translating plain language to code, prototyping or building real web apps quickly, connecting with existing codebases, and deploying to production or existing pipelines without vendor lock-in. Users can chat with a natural language first editor, import existing codebases, collaborate in code, preview changes instantly, and create without limits. This tool aims to enable anyone to build and deploy custom web-apps efficiently.

57 . Ellipsis

Best for automated feature implementation

Ellipsis is an AI-based software development tool categorized as a virtual software engineer. It functions by assisting engineering teams in various tasks such as code reviewing, writing code, answering source code queries, implementing features, fixing bugs, and utilizing Large Language Models for code generation. Ellipsis is compatible with GitHub, emphasizes security by not storing source code without permission, and offers features like automated code reviews, converting requirements into working code, and generating tested and working code upon request. Users can also leverage Ellipsis for automating bug fixes, making simple code changes, and addressing pull request comments efficiently. Furthermore, Ellipsis can augment engineering team capabilities by automating tasks and supporting multiple languages, frameworks, and libraries.

Pros
  • Doesn't store source code
  • Doesn't commit without permission
  • Supports multiple languages
  • Compatible with Github
  • Thoughtful code review summaries
  • Generates tested and working code
  • Free 7 day trial
  • Automates bug fixes
  • Makes simple code changes
  • Interprets PR comments
  • Compatible with libraries and frameworks
  • Consideration of style guide
  • Creates new pull requests
  • Doesn't commit to default branch
  • Generates code on request
Cons
  • In public beta stage
  • Generates code only when requested
  • Never commits directly to codebase
  • Limited to GitHub compatibility
  • Requires explicit requests for actions
  • Security emphasis may limit functionality
  • User-dependent for pull request fixes
  • Fix implementation times vary
  • Does not store or remember code
  • Reviews only upon PR opening

58 . Kombai

Best for automate front-end development

Kombai is an AI-powered Figma to code conversion tool that generates HTML, CSS, and React code from Figma designs. It does not require specific tagging or naming conventions in Figma and creates logical div structures and React components with intuitive class and component names. Kombai supports form elements like buttons, inputs, and selects as functional components and ensures responsive design with flex properties handled without hardcoded dimensions. It is a useful tool for developers who need high-quality JavaScript code and want to avoid the limitations of basic CSS properties provided by Figma. Kombai's technology is based on an ensemble of purpose-built deep learning and heuristics models tailored for interpreting UI designs and generating code. The tool is currently free for individual developers during the "public research preview" phase and supports generating React and HTML + CSS code outputs, with the flexibility to be adapted for use with other frameworks like Vue, Svelte, Angular, and Django.

Pricing

Paid plans start at $$40/month and include:

  • Unlimited Code Downloads
  • Manage Email Fonts
  • Define Font Fallbacks
  • Autogenerate Alt-text for Images
  • Customize Dark Mode
  • Email Support
Pros
  • No Special Figma Preparation: Use Figma designs directly without specific tagging or naming conventions.
  • Logical Structure: Generates logical div structures and React components with intuitive class and component names.
  • Responsive CSS: Flex properties are handled without hardcoded dimensions to ensure responsive design.
  • Robust Code Quality: Produces high-quality JavaScript code complete with loops conditions and mock data.
  • Functional Form Elements: Supports form elements like buttons, inputs, and selects as functional components.
  • 1. No Special Figma Preparation: Use Figma designs directly without specific tagging or naming conventions.
  • 2. Logical Structure: Generates logical div structures and React components with intuitive class and component names.
  • 3. Responsive CSS: Flex properties are handled without hardcoded dimensions to ensure responsive design.
  • 4. Robust Code Quality: Produces high-quality JavaScript code complete with loops conditions and mock data.
  • 5. Functional Form Elements: Supports form elements like buttons, inputs, and selects as functional components.
  • Robust Code Quality: Produces high-quality JavaScript code complete with loops, conditions, and mock data.
  • Functional Form Elements: Supports form elements like buttons inputs and selects as functional components.
Cons
  • Kombai can produce incorrect outputs in cases where designs are ambiguous or have unnatural deviations in visual aspects, like spacing and alignment
  • The tool may struggle to figure out the top cards visually, leading to incorrect outputs
  • Kombai requires special handling for cases where the design is not clear enough for confident inferences
  • Limited ability to understand UI designs compared to existing LLMs/GenAI models
  • Limited support for frontend languages and frameworks beyond React and HTML + CSS
  • No support for major frontend languages and frameworks like Vue, Svelte, Angular, Django without extra modifications
  • In some cases, the tool's generated code may not look right and might require additional manual adjustments
  • No specific feature mentioned to justify the value for money considering the pricing tiers and the functionality offered
  • Kombai does not provide direct support for outputting code in languages other than React and HTML + CSS
  • The tool may have limitations in generating code for complex design elements or interactions
  • Can produce incorrect outputs in cases where the design is ambiguous or where there are 'unnatural' deviations in the visual aspects of a design
  • May not figure out the top cards visually and could split sections incorrectly
  • Does not provide an option to get all UI code directly from Figma
  • No need to tag or name layers specifically in Figma or use auto-layout
  • Code may not always look optimal and may need regenerating or nudging the model

59 . AI Love Code

Best for efficient source code generation

AI Love Code is a tool designed to assist developers in creating visually stunning websites by efficiently generating source code. Users can easily generate and customize websites using AI Love Code, which has received positive feedback for its simplicity and effectiveness in website creation. The tool is appreciated for its ability to write simple code that is easy to understand, making it ideal for both beginners and experienced developers looking to streamline their website development process .

Pricing

Paid plans start at $5.00/One time payment and include:

  • Unlimited downloads for all code
  • Priority access to new features
Pros
  • Creative way to create your website with AI
  • Animated Hero
  • Ready to use, copy-paste HTML code, and build your awesome website
  • Loved by web creators around the world
  • Generates simple code that is easy to understand
  • Great for beginners in web development
  • Increases productivity, speed, and efficiency for developers
  • Game-changer for no-code enthusiasts
  • Accuracy of code and layout
  • Ease of use with Tailwind CSS & Alpine.js
  • Helpful for beginners in website creation
  • Game-changer for no-code lovers
  • Generates responsive website code in minutes
  • Delivers accurate code and layout
  • Creates beautiful websites easily
Cons
  • Potential lack of advanced customization options compared to more complex web development tools
  • Reliance on pre-designed templates may limit unique website designs
  • Pricing model might not offer the best value for money compared to similar AI website generation platforms
  • Possible limitations in handling complex functionalities or specific requirements
  • May not provide extensive support for e-commerce integrations or advanced website features
  • Limited flexibility in design compared to manual web development
  • User interface may not be as intuitive or user-friendly as other AI web development tools
  • Concerns about the accuracy and efficiency of generated code
  • Missing features that are available in other AI website builders in the industry
  • Potential learning curve for users transitioning from manual coding to AI-based development tools
  • No specific cons mentioned in the document.

60 . AutoCode Pro

Best for ai-driven codebase creation

AutoCode Pro is a revolutionary AI-powered platform categorized under "Code Generators" that offers a virtual junior developer experience. It simplifies the coding process by transforming application ideas into functional codebases without the need for extensive technical knowledge. Users can outline their app's vision, including functionalities and design components, for Chrome extensions, web, or mobile apps. The platform's advanced AI technology interprets these descriptions and generates comprehensive codebases ready for deployment or customization. AutoCode Pro is designed to be user-friendly for both non-coders and professionals, providing accessibility and customization to all users. It enables users to bring their ideas to life through an intuitive and seamless code generation process.

Pros
  • AI-Powered Code Generation: Transform your app ideas into code effortlessly.
  • Chrome Extension Development: Describe and receive ready-to-use Chrome extension code.
  • Web and Mobile App Creation: Easy development of web and mobile apps with AI assistance.
  • Customizable Codebases: Flexibility to deploy or customize the generated code.
  • Non-Coder Friendly Interface: No coding experience required to bring your ideas to life.
Cons
  • Specific cons or missing features of Autocode Pro were not explicitly mentioned in the provided documents.
  • The page you are looking for does not exist.
  • Sign up for Framer to publish your own website.
  • No specific cons or missing features mentioned in the documents provided.