Artificial Intelligence, without a doubt, is driving innovation in various industries and transforming how we work and live. From smart home applications like Google Home to Grammarly typing assistant, we can confidently get help from AI to automate routine and time-consuming tasks and focus on more critical activities.
And software development is not outside the AI application race. AI code generation tools have emerged as powerful aids for developers, streamlining the coding process and enhancing productivity.
In this article, we will explore the top 7 AI code assistant, presenting their highlight features as well as pricing packages. Before digging into the details, let’s see how developers reap the benefits of these smart tools.
Why Use AI Tools for Coding?
The invention of AI-powered tools has put an end to complicated and frustrating code compilation. Not only do they save time on repetitive tasks, but you can also strengthen the bonds between teams.
Increased Efficiency
AI code generators can significantly boost developer productivity by tackling tedious coding tasks. Other than writing code snippets, these apps take complete charge of function calls and suggesting appropriate variable names.
This significantly reduces development time and enhances overall efficiency. As a result, developers will be able to concentrate on higher-level problem-solving and accelerate the development process.
Improved Code Quality
AI tools do wonders for ensuring code quality by providing intelligent suggestions and adhering to coding best practices. Programmers can rely on these to come up with high-quality code that adheres to industry standards.
On top of that, after analyzing your code, AI code assistants will also offer recommendations for bug fixes, performance optimizations, and security enhancements. Your code will become more efficient and secure.
Faster Prototyping
It’s possible for software engineers to leverage the power of AI to accelerate the prototyping and iteration phases of software development.
These tools will quickly create code snippets or even entire modules to prototype and iterate their ideas rapidly. This leads to faster experimentation and iteration, helping developers iterate on ideas and bring products to market more efficiently.
Context-Aware Code Generation
AI models can understand the context in which code is being written and generate code snippets that align with the existing codebase.
They can provide suggestions for completing function calls, writing loops, or implementing specific algorithms based on the surrounding code. This context awareness helps maintain code consistency and reduces the chances of introducing errors or inconsistencies.
Learning and Skill Development
By observing the code generated by AI tools, developers can learn new coding techniques and improve their skills. This continuous learning fosters professional growth and keeps developers up-to-date with the latest coding practices.
Top 7 AI Code Assistants
Hundreds of tools on the market, both free and premium are meant to facilitate the development process. Before picking one, consider must-have features so that the tool can best serve your development team.
These tools should offer key functionalities like intelligent code completion, syntax error detection, refactoring current code, support for multiple programming languages, etc.
The following are the most preferable artificially intelligent code generators you can look at.
#1 OpenAI Codex
Apart from GPT-3 AI text generator – ChatGPT, which is storming the tech community, OpenAI Codex proves to be a powerful AI code generator that can understand and generate code in multiple programming languages. It supports a wide range of use cases, from web development to data analysis.
The bot comprehends human-readable descriptions and converts them into code. Developers must describe their intentions in plain English, and Codex will handle the rest.
From Python to JavaScript and Java, C++, Codex supports any programming languages you require. Plus, it’s aware of the context in which code is written and generates code snippets that align with the existing codebase. Particularly, the tool from OpenAI automatically formats generated code, ensuring consistency and adherence to coding standards.
Pricing: OpenAI Codex offers a subscription-based pricing model. For detailed pricing information, visit their official website.
#2 GitHub Copilot
When it comes to intelligent code compilers, it would be a huge missing without mentioning GitHub Copilot. The tool integrates with popular code editors and suggests real-time code for developers.
Similar to OpenA Codex, Copilot supports multiple programming languages and can generate entire functions or classes. This makes it suitable for developers working on diverse projects.
The ability to integrate with code editors sets Copilot apart from its competitors. The tool seamlessly integrates with Visual Studio Code and other code editors, enabling developers to leverage its features within their preferred development environment.
Pricing: GitHub Copilot offers two pricing options for individuals and businesses. Personal accounts must pay $10 monthly, while it costs companies $19 to start using. The 30-day trial allows you to get used to and test the tool before paying.
#3 Tabnine
Tabnine receives excellent public attention as an AI code completion tool that supports multiple programming languages, from Python to JavaScript, TypeScript, Java, and more. It generates code snippets for everyday programming tasks like file I/O operations, database queries, or network requests.
The tool provides intelligent code suggestions based on the context and can generate code snippets for various use cases. It takes into account the current line, nearby variables, and imported libraries to provide accurate suggestions.
Tabnine seamlessly integrates with popular code editors like Visual Studio Code, IntelliJ IDEA, and Sublime Text, enhancing the coding experience.
Tabnine is available for free. However, you have to sign up for Pro at $12, and Enterprise pricing plans to access advanced coding features as well as securing your code.
#4 DeepCode
Want to analyze code and provide suggestions for bug fixes and code improvements? DeepCode got you covered.
The system studies your code to identify potential bugs, security vulnerabilities, and code smells. Then, it suggests actions for improving code quality. If you’re working on popular programming languages such as JavaScript, Python, Java, and C++, DeepCode can support your work immensely.
Besides, DeepCode continuously learns from code patterns and best practices, providing developers with up-to-date recommendations for improving their code.
Pricing: As an open-source coding assistant, DeepCode lets you experience basic features for free. Still, To trial some add-on offerings, it is necessary to pay at least $5.99 per user per month.
#5 CodeGuru
CodeGuru slowly gains ground in the software development community. It focuses on code automated code reviews and recommendations for improving code quality, performance, and security. It’s employed to identify resource leaks, inefficient algorithms, and incorrect error-handling issues.
The tool integrates with popular development environments like AWS Cloud9 and IntelliJ IDEA, making incorporating its recommendations into the development workflow easy.
CodeGuru's performance profiling feature helps determine performance bottlenecks in your code. It analyzes the runtime behavior of your application and provides insights into areas that can be optimized for better performance.
Pricing: CodeGuru offers a pay-as-you-go pricing model.
Which Is Your Ideal AI Code Generator?
AI code generation tools have revolutionized the way developers write code, enhancing productivity and efficiency. The top five AI code generation tools discussed in this article offer powerful features such as intelligent code completion, multi-language support, integration with popular code editors, and continuous learning capabilities.
These tools assist developers in writing code faster, reducing errors, and improving code quality. Whether it's suggesting code snippets, completing function calls, or providing context-aware code suggestions, these AI-powered compilers have become invaluable assistants in the software development process.
Someone could think that the soaring growth of AI in software development is negative as it replaces human programmers. However, these technologies will speed up writing better code instead of replacing human programmers' creative thinking and problem-solving skills.