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Imagine having an assistant at your fingertips, capable of translating your ideas into reality with just a few clicks. Technology has made it possible with Artificial Intelligence (AI) and Machine Learning (ML) that has completely changed the future of software development. This is a new era of efficiency and innovation where the power of AI can change a natural language into a programming language and these tools are known as AI Code Generators.

In this blog you will learn from accelerating development cycles to enhancing collaboration and code quality, how software is conceptualized, created, and deployed.  Also know what exactly AI code generators are, how they work and a few most popular AI code generators to use to streamline the development process, empowering developers to transform concepts into reality with unprecedented speed and precision.

Table of Contents:

  • What is AI code Generation?
  • How does AI code generators work?
  • Benefits of Using AI Code Generators
  • AI Code Generators – Tools
  • Conclusion

What is AI code Generation?

AI code generation means when you want AI to write codes for you. With the help of AI tools, Artificial Intelligence (AI) and Machine Learning (ML) help you to write codes according to your given prompts. In another language a computer program, using smart technology, helps write pieces of code for software or applications.

For Instance, If you want to build a photo editor application you can give prompts to AI like “Write me the codes for Photo editor application for Android”. It’s like having a helpful assistant that understands what you want to do and can create the necessary code for it, based on how you describe it in normal words. So instead of writing all the code from scratch, you can ask the AI to do it for you, and it will generate the code you need. It saves you time and effort when you’re building software and websites.

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How does AI code generators work?

AI code generators work particularly on natural language processing and deep learning, to understand human-readable descriptions or prompts to generate code snippets by using machine learning techniques.

These systems are then trained on datasets containing pairs of descriptions, examples, explanations and code snippets, learning the mapping between them. During inference, they take descriptions as input and produce code snippets as output. These models can be fine-tuned and optimized for specific code generation tasks, such as code summarization or completion. Here is a Flowchart describing the process of how they work:How Does AI Code Generation Works

Benefits of Using AI Code Generators

AI Code Generators offer an invaluable solution to streamline the coding process. Here are a few reasons why developers should use these tools-

  1. Increased productivity and efficiency through automation which drastically reduces the time and effort required to develop software development.
  2. Facilitated collaboration among team members by providing a common platform for generating and sharing code.
  3. Lowered barrier to entry for software development even those with limited coding experience can use these tools to create functional code.
  4. Consistency in coding standards and practices which leads to more maintainable and scalable
  5. Accelerated learning curve for beginners.
  6. Optimized resource allocation for developers.

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Top AI Code Generators: Tools

  1. OpenAI Codex (GitHub Copilot):

OpenAI Codex is the model that powers GitHub Copilot which is proficient in more than a dozen of programming languages. GitHub Copilot is expected to remain a leading AI code generation tool by continuously evolving and improving providing assistance and code suggestions to developers.

Features of GitHub Copilot:

  • Real-time code generation:

GitHub Copilot suggests codes as developers type and turns natural language prompts into coding with the built-in vulnerability prevention system, by which insecure coding patterns get blocked in real-time.

  • Create Pull Request:

It helps you keep track of your work, suggests descriptions, and helps reviewers focus on when they conduct their review.

  • GitHub Copilot Extensions:

With an ecosystem of extensions from third-party tools and services developers can check log errors, create feature flags, and deploy apps to the cloud.

  • Multilanguage Capability:

This tool can understand and help with many programming languages because it learns from lots of public code examples in different languages.


  • GitHub Copilot Business: $19 USD per user per month.
  • GitHub Copilot Enterprise: $39 USD per user per month.
  • GitHub Copilot Individual: $10 USD per calendar month.
  1. TabNine:

TabNine is an AI code-generating assistant that helps developers accelerate and simplify the software development process while keeping it under complete control with the priority of maintaining privacy, security, and personalization. It supports over 80 programming languages and frameworks along with integrating with all the major IDEs.

Core Features:

  • AI code generation:

Developers can use natural language to generate code by using prompts or coding questions to obtain relevant suggestions for their projects.

  • Code Refactoring:

TabNine provides a feature of code refactoring under which developers can restructure the existing computer code of any software to improve its readability, efficiency, and maintainability without changing its primary functions.

  • Code Debugging:

The AI helps to identify errors or bugs in a program and gives recommendations to fix them.

  • Code Documentation:

It can create documentation that is often seen as a burden. Documentation is an essential part of the software development life cycle which means what the code does, how it does it, and why it does it that way. It helps developers understand the code, its dependencies, and its workflow.

  • Unit Testing:

Developers can test codes to check the functionality and behavior of the components and run those tests to ensure that every aspect of the software behaves as expected.


  • Basic: Free for everyone
  • Pro: Free for 90 days per user
  • Pro for Enterprise: $39 per user per month
  1. Crowbotics Platform:

It is the 3rd easiest AI code generator software to use for both technical and non-technical users. It contains hundreds of prebuilt industry-standard codes, frameworks and infrastructure which are already been tested and validated. The unique combination of reuse code and real development expertise results in first-build speeds at affordable prices.

Key Features:

  • Web Development
  • Version Control
  • Testing Management
  • Software Development
  • Graphical User Interface
  • Mobile Development
  • Debugging
  • Collaboration
  • Code Assistance
  • Access Control


  • For Community: Free
  • Pro: $199 / Month
  • Advanced: $499 / Month
  • Enterprise: Custom Pricing
  1. Amazon Q:

Amazon Q previously known as Amazon Codewhisperer is a free AI Code generator tool powered by Amazon’s AI technology that assists businesses and developers with real-time code suggestions. This tool suggests code segments, generates documentation, and completes functions

Main Features:

  • Amazon Q developer:

The Q&A feature is integrated into the AWS websites, AWS management console, AWS console mobile application, AWS Chatbot, AWS documentation, and Slack which helps developers create code suggestions effectively.

  • Amazon Q App creator:

Developers can build a completely new app by using their company’s data by simply describing the type of app they want in natural language or prompts.

  • Amazon Q Business:

Your generative AI assistant for work which helps employees to be more data-driven and make better decisions using company data.


  • Amazon Q Business Lite: $3 per user/Month
  • Amazon Q Business Pro: $20 per user/Month
  1. CodiumAI:

It is an AI-powered code testing tool designed to simplify the code testing process. Its main function is to focus on enhancing and improving the efficiency and reliability of software quality for developers.


  • Ask: Free-text questions about your code
  • Explain: Explain and describe how the selected code works
  • Enhance: Get an enhanced and cleaner code.
  • Improve: Get improvement suggestions for your code
  • Find-on-github: Helping you discover relevant open-source code on GitHub
  • Quick-test: Offering a helping hand by automatically generating unit tests for your code.


  • Developer: $0 / User per Month
  • Teams: $19 / User per Month
  • Enterprise: Custom Package
  1. Mutable.AI:

It is an AI-automated software development tool designed to help developers create high-quality code quickly and effectively. They support a wealth of languages like JavaScript, Go, Rust, Python, Vue, Java, and many more.


  • Chat and Edit Feature: Ask questions about the code and start the auto-edit option, tell the changes you want and its done for you.
  • Code Improvement: It gives suggestions for improving code quality, fixing bugs, simplifying code, detecting areas for refactoring opportunities, analyzing code complexity, and test coverage gaps.
  • Documentation: A new feature of Mutable.AI auto-generates wiki articles summarizing codebase.
  • Testing: It creates auto-generate integrations and end-to-end tests.


  • Basic: $2 and up / month
  • Premium: $15 / month
  • Enterprise: Custom

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  1. AskCodi:

By the name itself, we can understand the process where essentially you AskCodi to answer coding questions, explain code, document them, and test the code at the end. It is specially designed for developers to avoid repetitive tasks, resulting in less time spent on development and more on execution of software development.

Key Features:

  • Chat feature to ask anything in natural language
  • Code suggestions according to given prompts
  • Document Code and comments explaining everything about the code workflows
  • Explain the Code why it is done, and how it is done to fit into the projects.
  • Conducts Unit Tests in which small pieces of code are tested in isolation.


  • Basic Model: Free 50 credits /Month
  • Premium: $8.33 / Month
  • Ultimat: $24.99 / Month
  1. Codiga:

Codiga is a smart code snippet generation platform providing tools that are dedicated to improving the coding process. It also provides essential features such as Secure Code Analysis, Static Code Analysis, Custom Analysis Rules, and Automated Code Reviews. Codiga stands as a credible and reliable tool in the coding community, emphasizing customer satisfaction and upholding strict standards for security, privacy, and code protection.

Features of Codiga:

  • Static Code Analysis:

The best Static code analysis engine works in IDE and CI/CD with real-time code analysis.

  • Security Analysis:

It has the largest rulesets of analysis to make your software safe and secure by automatically fixing issues in the IDE.

  • Code Snippets:

Create, share, and use smart code snippets in a click to speed up development and ensure consistency across your team’s code.

  • Automated Code Reviews:

Code reviews are done in seconds supporting more than 12+ languages and frameworks.


  • Basic: Free
  • Silver: $10 per user / Month
  • Gold: $18 per user / Month
  1. Sourcegraph:

Sourcegraph is an AI-accelerated coding assistant that allows developers to find what you need, transform it into a database, and fix changes across your codebase in one go. The company has two products Cody and Code Search both are supporting all major programming languages.

Features they provide:

  • Cody:

The AI coding assistant that helps developers to code faster with advanced search and codebase context to write and fix code.

  • Code faster with Autocomplete:

With the help of the autocomplete feature developers can get useful suggestions for any programming language.

  • Automate workflows with commands:

Users can build and personalize commands that automate common tasks.

  • Code Search:

Users can search the entire codebase in a single place. It makes it easy for developers to understand code faster and find and fix security risks.

  • Track trends:

Users can transform their code into a queryable database to create custom dashboards in seconds.


  • Cody for light usage: $0
  • Cody Pro: $9 per user/month
  • Cody Enterprise: $19 per user/month
  • Code Search enterprise: $49 per user/month
  • Code Intelligence Platform: $59 per user/month
  1. Replit:

Replit is an AI-powered software development and deployment platform that helps users make their ideas into reality. Here, users can create codes and deploy them in any programming language. Everything you need to build software is all in a single cloud workspace with AI built-in technology.

Core Features:

  • Turn natural language into code:

Users get auto-complete suggestions as they start working on modifying existing code effortlessly.

  • Collaborative AI chat:

Use Replit AI with your teammates to build software together using personalized assistance based on your project codebase.

  • All-in-one editor:

Code, collaborate, and ship a fully customizable platform to scale your workspace to handle projects of all sizes.

  • Deploy where you code:

It offers flexible hosting to move quickly from development to production and share your projects with the world with a single click.


  • Basic: Free
  • Replit Core: $10 per user/month
  • Teams: $33 per user/month
  • Enterprise: Custom pricing

Briefly Summerizing

Comparitve analysis of top AI code generation tools


To summarize, the software development life cycle is undergoing a profound transformation, powered by the capabilities of AI code generation. As we navigate the complexities of modern coding practices, these tools serve as invaluable allies, augmenting human creativity with machine intelligence. From OpenAI Codex to TabNine, from Crowbotics Platform to Amazon Q, the array of options available underscores the versatility and potential of AI-driven solutions.

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Looking ahead, the future of AI code generation holds boundless promise. With advancements in natural language processing, deep learning, and algorithmic optimization, we can anticipate even greater levels of automation, precision, and adaptability. As the best IT staff augmentation company, we embrace the opportunities presented by AI code generation, forging a path toward a future where software development is as intuitive and accessible as everyday conversation.


Are AI code generators reliable?

AI code generation tools are really helpful, but as any other technology they can also have issues. One big problem is bias. These tools learn from data, and if the data has biases, the code they create might also have biases. For example, they could end up making unfair assumptions about people based on things like gender or race.
Another thing is that these tools can be kind of mysterious. Developers might not fully understand how they work, which can make them hesitant to trust the code they generate.

How to choose the best AI code generator?

To choose the right AI code generation tool:

  1. Define your needs: Identify what you need the tool to do, considering speed, automation, and accuracy.
  2. Look for key features: Focus on features like auto-completion, refactoring, syntax checking, and cross-platform support.
  3. Evaluate vendors: Check vendor vision, support, and security measures.
  4. Consider deployment and pricing: Assess deployment options and costs.

Who can use AI code generation tools?

AI code generation tools are utilized by software developers, IT administrators, and data scientists for efficient code writing, task automation, and model development. These tools benefit individual professionals and teams by streamlining workflows, enhancing security, and optimizing performance across various domains.

What is the future of AI Code generators?

AI is reshaping coding and software development. These AI-powered code generators offer powerful, intuitive tools for developers of all levels. They speed up coding, making it accessible to more people. From building websites to converting text to code, they unlock new possibilities. Whether you’re a seasoned pro or a beginner, there’s an AI tool to boost your efficiency and expand your skills.