5 Best AI Code Generators in 2024

Are you looking for the best AI code generators in 2024? Here are the best choices for you!.

by Mortuza Hossain • 15 August 2024

AI code generators are revolutionizing software development by automating the process of writing code. The AI code generation market is currently valued at USD 30.9 billion and is projected to reach USD 169.2 billion by 2032. The statistic says a lot about how rapidly the demand for AI-driven coding solutions is growing.

So, in this blog, we'll explore the 5 best AI code generators available in the market. Let's dive in!

5 Best AI Code Generators: A Quick Comparison

Before we dive into the detailed review here is a quick table summarizing the use cases and pricing of the AI-powered code generator. 

Tool Best Use Case Editorial Rating
GitHub Copilot Best for Real-time code completions and GitHub integration. 5
Codeium Best for accelerating coding with autocomplete and generation. 4
Cody by Sourcegraph Best for intelligent code completion and automated code reviews. 3.5
Tabnine Best for getting precise code suggestions across editors. 3.5
AI2sql For converting natural language queries into SQL commands. 3

5 Best AI Code Generators Tools: Detailed Overview

Now it’s time to discuss the code generators with proper details including features and pricing. So, keep reading. 

1. GitHub Copilot

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First, we have GitHub Copilot, developed by GitHub and OpenAI. It is a popular AI coding tool that enhances programming with AI assistance. 

Copilot accelerates coding by suggesting entire lines of code as you type. Trained in public code, it also understands various languages and styles. And the best thing is it can adapt to each developer's style, improves accuracy, and has now become a vital tool in programming.

Features of GitHub Copilot

  • Suggests code completions in real-time, analyzing your code context.
  • Supports multiple programming languages like Python, JavaScript, Ruby, C++, and others.
  • Understands code context for relevant suggestions.
  • Automatically generates comments and documentation from code.
  • Integrates with GitHub CLI for terminal-based assistance with shell commands and Git operations.

Pricing of GitHub Copilot

GitHub Copilot comes with different pricing plans. Let’s check them below.

  • Individual:  $10 USD (Monthly) or $100 USD (Yearly)
  • Business:  $19 USD per user (Monthly)
  • Enterprise: $39 USD per user (Monthly)

2. Codeium

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Another hyped AI coding tool right now in the market is Codeium. "It's a free AI tool that helps developers code faster and better with smart autocomplete, code search, and chat features.

The tool is integrated with over 40 IDEs and supports 70+ programming languages. Moreover,  for its performance, accuracy, and productivity-boosting capabilities, Codeium is highly praised by the developers. 

Features of Codeiu 

  • Analyzes existing code to suggest or generate new code.
  • Offers functionalities like code fixing and documentation generation.
  • Capable of understanding and assisting in over 70 programming languages.
  • Integrates seamlessly with more than 40 coding environments and editors.
  • Helps to refine algorithms and improve overall code quality.

Pricing of Codeium 

There are 3 pricing plans available for Codeium. 

  • Individual Plan: Completely free (1 seat)
  • Teams Plan: $15 (Monthly Plan) or $12 (Yearly Plan) per seat/month (up to 200 seats),
  • Enterprise Plan: Contact for pricing (Unlimited seat)

3. Cody by Sourcegraph

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Cody by Sourcegraph is a reliable AI-powered tool that enhances productivity for developers. Cody’s main strength is its ability to understand the context in which you're coding. It offers precise suggestions that match your specific needs. As a result, you’ll get better code and faster completion.

Cody also simplifies the development process with features like automated bug detection and AI-powered code reviews. It helps you improve code quality and keeps your projects on track.

Features of Cody

  • Provides intelligent code completion that speeds up coding.
  • Automatically detects and fixes bugs, reducing debugging time.
  • Conducts AI-powered code reviews to improve overall code quality.
  • Understands and adapts to your coding style for more personalized suggestions.
  • Identifies potential security vulnerabilities and offers fixes.

Pricing of Cody

Cody by Sourcegraph comes with 3 pricing plans including a free plan. Let’s check it out. 

  • Free Plan: $0 per month, 1 user
  • Pro Plan: $9 per month, 1 user
  • Enterprise Plan: $19 per user/month, contact sales

4. Tabnine

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Next, we’ve got Tabnie, an efficient AI code generator, created by Codota. This tool uses machine learning to predict and suggest code which speeds up coding and reduces errors. 

Tabnine provides accurate code recommendations using deep learning. It enhances efficiency and accuracy by learning from your writing style. Tabnine also offers personalized suggestions and indexes your code automatically. Now let’s check some of its features. 

Features of Tabnine

  • Supports 20+ programming languages.
  • Integrates with major editors like VS Code, Sublime Text, and Atom.
  • Helps in bug and test case tracking.
  • Uses deep learning for precise and relevant code suggestions.
  • Facilitates application development and enhances code quality.

Pricing of Tabnine 

Tabnine has both free and paid plans. Below check out the pricing of Tabnine

  • Basic Plan: Free
  • Pro Plan: $12 per user per month (Free for 90 days)
  • Enterprise Plan: $39 per user per month (With a 1-year commitment)

5. AI2sql

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The final tool on the list is AI2sql. This is an advanced AI code generator crafted to simplify the process of converting natural language queries into SQL.

It's particularly useful in database management, where crafting complex SQL queries can be challenging. By converting natural language into SQL commands, AI2sql makes database interactions easier for both technical and non-technical users.

Features of AI2sql

  • Supports natural language prompts in multiple languages including English, French, Spanish, Chinese, and others
  • Automatically generates SQL statements based on user input.
  • Compatible with various databases including SQL, MySQL, PostgreSQL, MongoDB, Microsoft SQL Server, and Pandas.
  • Enhances efficiency by reducing SQL task time by half.
  • Capable of creating complex formulas easily for data analysis and reporting.

Pricing of AI2sql

AI2sql comes with 3 pricing plans. Let’s get the basics of the prices. 

  • Start: $9/month (Billed Monthly, Cancel anytime)
  • PRO: $19/month (Billed Monthly, Cancel anytime)
  • BUSINESS: $24/month (Billed Monthly, Cancel anytime)

Are AI Code Generation Tools Reliable?

AI code generators are generally reliable, but there are exceptions. Below we’ll show you the cases when they are reliable and when not.

When Reliable?

AI code generation tools are reliable for automating repetitive coding tasks such as generating boilerplate code, providing instant code completions, and improving code consistency. They also maintain consistent coding across different projects, making software development faster and more efficient.

When Not Reliable?

Now let’s come to the next part. AI code generation tools may not always be reliable for handling complex coding challenges. Moreover, AI might not do well with coding that requires creative problem-solving or deep contextual understanding. 

AI code generators can face challenges while interpreting ambiguous requirements and generating code that meets strict security standards. Another concern is the possibility of unintended biases in the generated code. 

So, It's important to use these tools carefully, especially in sensitive applications where code quality and security are very important

Advantages of AI Code Generation Tools

So, far we’ve talked about the best AI code generator but now we’ll discuss some of the significant advantages of such tools

  • Automation of Repetitive Tasks: Automates tasks such as generating boilerplate code and routine syntax.
  • Fast and Accurate Code Completions: Speeds up development with quick and precise code suggestions.
  • Enhanced Productivity: Reduces manual coding effort and increases overall coding speed.
  • Improved Code Consistency: Maintains coding standards and practices consistently to ensure that coding follows the same rules in all projects.
  • Personalized Coding Suggestions: Adapts to individual coding styles and provides suggestions that fit your style.
  • Efficient Development Workflows: Facilitates seamless transitions from coding to testing and deployment.
  • Enhanced Code Quality: Identifies errors early and supports efficient debugging processes.

The Future of Coding with AI

The future of coding with AI is quite promising. Artificial intelligence can handle repetitive tasks, improve how code is generated and optimized, and help with smart debugging. Below we’ll show you some examples of how AI can revolutionize coding practices. 

1. AI-Powered Code Assistance

  • Integrated Development Environments (IDEs) with AI: These tools offer real-time suggestions, auto-completion, and error detection. All these help the developers to write cleaner code with fewer mistakes.
  • AI algorithms for code analysis: They help developers write code faster and more accurately by analyzing coding patterns and recommending best practices.

2. Automated Testing and Debugging

  • Automatic error detection and fixing: AI algorithms can identify and fix code errors swiftly. This capability improves software quality and speeds up the development process.
  • Predictive bug analysis: AI can analyze code patterns to predict and prevent bugs before they occur. It ensures software reliability and minimizes post-deployment issues.

3. Code Generation and Optimization

  • AI-driven code generation: Algorithms can create new code and optimize existing algorithms by identifying inefficiencies and suggesting improvements.
  • Generative models like GPT: They analyze code snippets and generate new code based on learned patterns. It helps developers refactor and optimize their programs.

4. Natural Language Programming

  • Simplifying coding with NLP: Natural Language Processing technologies enable developers to interact with code using everyday language. It makes coding more accessible for beginners and experts alike.
  • Expressing complex tasks: Developers can describe complex programming tasks in simple language, which enhances understanding and speeds up development.

Bottomline

AI-powered code generators are changing how software is developed by automating tasks, improving code quality, and boosting productivity. However, it's essential to select the right tool as these technologies develop further.

Reading this article we hope you’ve now a better understanding of the best AI code generators. So, now it’s your turn to compare once again and choose the most appropriate one for you. Best of luck!


Mortuza Hossain
AUTHOR

Mortuza Hossain is a content writer and editor at Dorik with expertise in SaaS, SEO, WordPress, eCommerce, and Technology. He writes to deliver reliable and valuable information that solves people’s problems worldwide. Apart from work, he loves to travel, read, watch movies, and spend time with his family and friends.  

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