Free AI coding assistant: 11 AI Code Generators That Will Help You Write Code Like a Pro
Introduction to AI coding assistant
As software development becomes more complex and demanding, developers are increasingly turning to AI coding assistants to enhance their productivity and efficiency. These assistants use machine learning algorithms to provide suggestions, automate tasks, and detect errors in the code, enabling developers to focus on more creative and high-level tasks. In this article, we will explore some of the most popular AI coding assistants available today.
What is an AI Code Generator or AI coding assistant?
AI coding assistants, also known as code assistants, Code Generators, code autocomplete plugins or code completion tools, are powerful tools that leverage artificial intelligence to help developers write code more efficiently. They can suggest code, edit code, and even generate code based on natural language descriptions.
Why do I need AI coding assistants?
AI coding assistants can be helpful in several ways, including:
- Improving productivity: AI coding assistants can help developers write code faster and with fewer errors. By automating repetitive tasks, suggesting code snippets and providing real-time feedback, AI coding assistants can help developers focus on more important aspects of their work.
- Enhancing code quality: AI coding assistants can identify potential issues in the code and suggest improvements, making it easier to write high-quality, maintainable code.
- Providing intelligent suggestions: AI coding assistants can use machine learning to analyze code and provide intelligent suggestions based on context, code patterns, and best practices. This can help developers make better decisions and learn from their mistakes.
- Supporting learning and skill development: AI coding assistants can provide developers with personalized learning resources and feedback to help them improve their coding skills and stay up-to-date with new technologies and best practices.
In essence, AI coding assistants can help developers be more efficient, productive, and effective, allowing them to focus on building better software faster.
Here are the 11 AI Coding Assistants to Help You Write Code Faster and More Accurately:
1. Codiga
Codiga is a platform that assists developers to write clean, better code, faster. By using Codiga Coding AI, programmers can build, distribute, and repurpose snippets of code from their IDE. This platform also offers Automated Code Reviews and Code Analysis that find coding problems in a split second at every push or pull request. Codiga Coding Assistant can reveal complex functions, long functions, security vulnerabilities, code duplicates, and report all CWE or CVE as well as outdated dependencies.
2. OpenAI Codex
OpenAI Codex is a code-generating prototype based on GPT-3 which powers GitHub Copilot, a tool created by GitHub that develops code within mainstream development surroundings, including Neovim, JetBrains, VS Code, and even in the cloud with GitHub Codespaces. OpenAI Codex can generate code in at the barest minimum of a dozen languages, including Go, Perl, PHP, Ruby, JavaScript, TypeScript, and Swift, as well as BASH. The training process for the model involves utilizing billions of lines of code that are publicly available in repositories like GitHub.
3. Replit
Replit is a free, collaborative, in-browser IDE that supports coding in over 50 languages. With Replit, you can start coding in your favorite language on any platform, OS, and device. You can invite your friends, teammates, and colleagues to collaborate on your code with Google-docs like editing. You can also import, run, and collaborate on millions of GitHub repos with zero manual setup. In addition to its other features, Replit provides interactive documentation, which allows for real-time collaboration, and streamlines the process of remote interviewing.
4. Tabnine
Tabnine is a code completion tool powered by AI that works with more than 20 programming languages and 15 different editors, including widely used IDEs such as VS Code, IntelliJ, Android Studio, and even Vim. Rust developer Jacob Jackson created Tabnine to enhance the auto-completion feature of IDEs. A team of 3 developers can access Tabnine for an annual fee of $432.
5. CodeGeeX
CodeGeeX is a high-capacity multilingual model for auto-generating code that has been pre-trained on a vast amount of code made up of over 20 programming languages, with a total of 13 billion parameters. Based on CodeGeeX, developers can use a VS Code extension that assists the programming of different programming languages. Besides the multilingual code generation/translation abilities, CodeGeeX also offers a few-shot ability, which means that when a few examples are provided as extra prompts in the input, CodeGeeX will emulate what has been done by these examples and then generate codes consequently.
6. CodeT5
CodeT5 is an open-source code writer model built by Salesforce researchers. It is based on Google’s T5 (Text-to-Text Transfer Transformer) framework and was trained on over 8.35 million instances of code, including user comments, from publicly accessible GitHub repositories. CodeT5 can instantly generate programming code based on natural language narratives, complete the complete function of code when given the target function name, and then generate the overview of a function in natural language description.
7. Codeium
Codeium is a free code acceleration platform that is powered by an AI which furnishes programmers with autocompleted AI-generated code in over 20 programming languages. It incorporates directly with the developer's IDE of choice, including JetBrains, Jupyter notebooks, VSCode, Vim / Neovim, Colab and more.
Codeium's quick and multiple code suggestions can save you valuable time by removing the need to search for APIs and documentation, write boilerplate and unit tests, and perform other tedious or aggravating tasks.
. Having been trained on billions of lines of code that are public, Codeium hastens your development and enables you stay in the flow state, while letting you be the best coder possible.
8. Polycoder
Polycoder is an open-source code generation model developed by researchers at Carnegie Mellon University. Based on OpenAI's GPT-2, Polycoder is trained on a 249 GB codebase written in 12 programming languages, making it highly accurate in generating code. It is especially proficient in writing C and is one of the first open-source code generation models.
9. Safurai
Safurai is an IDE extension powered by AI that enables developers to fast-track their coding process, debugging tasks, refactoring process, documentation process, and so many other tasks. This virtual assistant uses a set of non-proprietary Large Language Models optimized for programming, providing suggestions and solutions for any issues that may arise during the software development process. It emphasizes transparency and does not retain or reuse user codebase data for model improvement purposes.
10. Cogram
Cogram is a tool for generating code that caters to the needs of data scientists and Python programmers using SQL queries and Jupyter Notebooks. It can effortlessly translate simple English queries into intricate SQL queries with joins and grouping, and it supports databases such as PostgreSQL, MySQL, SQLite. and Amazon Redshift.. It can also generate contextual code for a specific task based on comments and even generate visualizations based on mainstream Python modules.
11. K.Explorer
K.Explorer is a state-of-the-art AI code assistant that builds software faster, cheaper, and better. Trained on millions of private corporate lines of code for specific domains and billions of public and open-source lines of code for general purposes, K.Explorer offers code auto-completion features and supports natural language for programmers to get guidance while telling a text story about the code they want to write.
Features of AI Coding generators:
AI coding assistants provide several essential features that can significantly enhance the software development process:
- Syntax Checking: AI coding assistants can detect errors and suggest corrections to improve code accuracy and validity.
- Code Completion: AI coding assistants can predict what the programmer will type next and suggest available options, making coding faster and more efficient.
- Refactoring: AI coding assistants can restructure existing code for improved readability and efficiency, helping to keep code organized and making debugging easier.
- Debugging: AI coding assistants have built-in debugging mechanisms that enable them to identify problems in your code quickly and perfectly while eradicating the need for manual debugging processes thereby saving you more time.
- Documentation Generation: AI coding assistants have the ability to automatically generate documentation from any source code while saving programmers from wasting the time and effort required for manually writing documentation. This feature of documentation generation can be very useful for developers.
- Error Handling: AI coding assistants can identify errors in the logic or syntax of a program even before it is executed. This makes the development process smoother and reduces the number of bugs that may be introduced into the software. In other words, error handling with the help of AI coding assistants can be very effective in ensuring the quality of the software.
Conclusion
AI coding assistants are powerful tools that can significantly enhance the software development process. They offer essential features such as syntax checking, code completion, refactoring, debugging, documentation generation, and error handling. As the field of AI continues to evolve, we can expect to see even more innovative and powerful coding assistants that can help developers create high-quality software more efficiently and effectively.