AI-powered programming tools are revolutionizing the way developers and teams write, optimize, and manage code, making the process faster, more efficient, and more innovative.
Online platforms that use AI models to edit images, files, videos, generate code and many other digital contents are increasingly used by companies and users who want to optimize their time. If until a few years ago it was impossible to create an image, a video or even a programming script in a few seconds, with the right AI platform you can do it without any effort.
Today we will take a look at what are the tools for programming with artificial intelligence , very useful tools if you want to create from scratch or improve a computer code for your projects.
Essential Tools for Programming with Artificial Intelligence
Online and offline you can use different programs for programming with AI , we have chosen among the 10 best tools currently available. Let’s see what they are, main features, pros and cons.
1. GitHub Copilot
An Artificial Intelligence app that we recommend you try, developed by GitHub in collaboration with OpenAI, is GitHub Copilot . Thanks to the Codex model, it can generate code in various computer languages, including Python , JavaScript , TypeScript , Ruby , Go and many others. Among the main features, we point out the integration with IDEs , in fact, you can combine Visual Studio Code, one of the best editors for code programming. On YouTube you can find many tutorials on how GitHub Copilot works .
Pros:
- Increase productivity through automatic code generation.
- Suggested solutions with practical examples.
- It works with numerous programming languages and frameworks.
Against:
- Possible license violations or use of proprietary code.
- Suggestions are not always effective.
- AI dependency with reduced ability to write code.
2. Tabnine
Tabnine is more than an alternative to improve developer productivity as it integrates a particularly effective real-time AI tool . In this case, however, there is also a free plan ideal for smaller projects with support for the main IDEs . To activate additional advanced tools you can subscribe to a subscription for 9 dollars per month or the 30-day free trial .
Pros:
- Compatibility with many IDEs (VS Code, PyCharm, IntelliJ, etc.).
- Provides accurate and contextual code completions.
- It can also be used locally.
Against:
- High cost for advanced features.
- The quality depends on the programming language used.
- Limitations in the basic version.
3. ChatGPT
For programming with artificial intelligence, could ChatGPT be missing ? The AI model developed by OpenAI allows you to generate code fragments based on the textual descriptions that you will insert in the chat. Among the best features is certainly its debugging capacity , that is, it allows you to identify and modify possible code errors .
Pros:
- Quick access to information with immediate response times.
- Ease of use.
- Versatile support for all levels of knowledge.
Against:
- Depends on user input and question quality.
- Difficult to really understand the problem, since ChatGPT cannot access a project.
- Risk of errors in the generated code.
4. Codeium
One of the most popular AI code generators, especially among developers looking for support for many languages, is Codeium . The tool currently supports more than 70 languages through plugins that you can install in the main IDEs such as Eclipse or Visual Studio Code . You can access a free plan with no limits for individual profiles or opt for a paid plan starting at around 15 dollars per month for multiple profiles. Excellent features include intelligent code auto-completion and support for Python , JavaScript , Java and C++ , as well as the aforementioned interactions with programming editors.
Pros:
- Free for individual use.
- Fast and accurate contextual suggestions with reduced errors
- It works with many programming languages.
Against:
- Less advanced tips than GitHub Copilot.
- Dependency on IDE environment.
- Requires an internet connection for many features.
5. IntelliCode (Visual Studio)
Visual Studio integrates an advanced suite called IntelliCode , with which you can take advantage of very interesting AI features. The program allows you to get suggestions while writing code and improve it in real time. Its functionality for intelligent code completion is excellent , as is refactoring , with which to optimize existing code. A great choice if you want to increase productivity and the quality of programming code; but unfortunately it is tied to Visual Studio, with the pros and cons that come with it.
Pros:
- Native integration with Visual Studio.
- It provides optimized and specific suggestions by training on your project’s code.
- Offers suggestions based on code analysis.
Against:
- It takes time to train him to understand the project’s code hints.
- In very large projects, the suggestions may be less precise.
- It is primarily designed for Visual Studio and VS Code, it cannot be used in other IDEs.
6. Source
If you use Python every day, then Sourcery could become the best tool to get timely suggestions on the generated code. In fact, among the most important features is automatic refactoring , with which Sourcery analyzes the code you created with Python and reports possible improvements, such as deleting redundant parts of code or simplifying complex blocks . Also excellent is the integration with IDEs such as Visual Studio or PyCharm and above all the continuous learning during the corrections made is of the highest quality. We recommend this tool if you want excellent code quality, but you should avoid it if you hate using Python as a developer .
Pros:
- Automate refactoring without changing the underlying logic.
- Analyzes your code in real time as you write and offers suggestions for improving its quality.
- Integration with popular IDEs.
Against:
- It is mainly focused on Python.
- The suggested refactorings do not always respect the preferred coding style.
- The free version offers only basic features. For more advanced options you need to subscribe.
7. DeepCode
An equally effective alternative for identifying potential bugs, security issues or vulnerabilities is definitely DeepCode . This AI programming tool allows you to analyze the code you create and get relevant suggestions to improve it, with performance optimizations or eliminating common errors. Among the most interesting features is the integration with CI/CD , which allows it to examine the code automatically. Developers trust DeepCode for its security and the quality of the projects, although in some cases it is not able to completely identify the problems in the code. You can try the free version or subscribe to the paid service with more features .
Pros:
- Use AI to analyze code and identify bugs, security vulnerabilities, and simple syntax errors.
- It is continuously updated on security issues.
- Integration with IDEs such as VS Code, GitHub, IntelliJ, GitLab and CI/CD pipelines.
Against:
- It does not support all programming languages.
- It may report minor issues.
- Full access requires a paid subscription while basic features are free.
8. Reply
Programming with artificial intelligence thanks to Replit is really very simple; this online editor adds several AI features that are usually offline. Specifically, you can take advantage of intelligent auto-completion and debugging directly from your web browser , the latter being very useful for identifying and correcting errors in the code in real time. One of the most appreciated features is collaboration with other developers on the same project , which allows you to facilitate communication. An ideal tool for those looking for accessibility and collaboration, a little less so for developers who want perfect integration with Visual Studio or other desktop IDEs.
Pros:
- It is cloud-based and requires no software to install.
- It enables real-time collaboration between users.
- It supports over 50 programming languages and provides a full-featured IDE.
Against:
- Advanced features are paid.
- Integration with complex or custom development tools is less fluid or absent.
- It is not optimized for large, complex projects.
9. Google Cloud
Not everyone knows that Google Cloud also offers developers an excellent AI tool for generating code. In fact, you can benefit from advanced language models with precise and reliable error analysis. The purpose of the program is to generate code based on text descriptions, just like ChatGPT. The code is then analyzed and bugs and vulnerabilities will be reported to you . Google Cloud is a paid service with no free versions; and unfortunately it is also complex to configure for a novice.
Pros:
- Integration with other Google services, such as Colab and Workspace.
- Competitive pricing compared to other Cloud providers
- High-performance global infrastructure with services like Vertex AI.
Against:
- Steep learning curve for newbies.
- Less established ecosystem than alternatives like AWS.
- High prices in advanced or specific configurations.
10. Amazon Q Developer
Among the best AI for programming there is also Amazon Q Developer , offered by AWS, it allows you to design and write code quickly with very few errors. Like most AI tools, it has a dedicated feature for intelligent auto-completion and exceptional debugging to identify errors. By choosing this tool, you can therefore benefit above all from perfect integration with AWS and a productivity system designed for developers who also have to manage very complex projects .
Pros:
- AWS integration.
- Access to quantum computing technologies, such as D-Wave, Rigetti and IonQ.
- Quantum simulations on the cloud to test algorithms.
Against:
- Steep learning curve.
- High costs.
- Quantum computing is not yet optimized compared to classical methods.
AI Code Generators Compared
Here is a comparison of the best tools available to find out which one best suits your needs.
| Tools | Price | Supported Languages | Main features | Integration with IDE |
| GitHub Copilot | Subscription: $10/month | Python, JavaScript, TypeScript, Ruby, Go, C++, Java, others | Code completion, suggestions, refactoring | Visual Studio, VS Code, JetBrains, Neovim, more |
| Tabnine | Free (basic version), paid ($12/month for Pro version) | Python, Java, JavaScript, C++, TypeScript, Ruby, others | Code completion, AI suggestions, refactoring | VS Code, IntelliJ, PyCharm, Sublime, more |
| ChatGPT | Free or subscription: $20/month (ChatGPT Plus) | Python, JavaScript, HTML/CSS, SQL, others | General Answers, Coding, Debugging, Documentation | No direct integration with IDE |
| Codeium | Free (basic version), paid for teams | Python, JavaScript, Java, TypeScript, Go, Ruby | Code completion, contextual suggestions, AI assistance | VS Code, JetBrains, Sublime, others |
| IntelliCode (VS) | Free (for Visual Studio users) | Python, C#, C++, JavaScript, TypeScript | Code completion tips, best practices analysis | Visual Studio, VS Code |
| Sourcery | Free (basic version), paid for teams | Python | Automatic refactoring, code optimization tips | VS Code, PyCharm, others |
| DeepCode | Free (basic version), paid for advanced features | Python, Java, JavaScript, TypeScript, others | Advanced analysis, bug and vulnerability detection | VS Code, IntelliJ, GitHub, GitLab |
| Reply | Free (with limits), subscription for advanced versions ($7/month) | Python, JavaScript, Ruby, Java, others | Cloud-based IDE, support for collaborative projects, real-time execution | Browser-based, VS Code (for Replit Sync) |
| Google Cloud | Pay-as-you-go model, free for limited use | All languages (tools and services based) | Cloud computing services, machine learning, data analysis | Various IDEs, integrable with all languages |
| Amazon Q Developer | Pay-as-you-go model, free for limited use | Python, JavaScript, C++, others (for quantum computing) | Quantum programming, simulations, access to quantum hardware | Various IDEs for Quantum Programming |
AI Generators Documentation and Tutorials
Learn how to use these AI-powered programming tools to improve productivity and streamline software development workflows.
- GitHub Copilot: Official Documentation
- Tabnine: Official Documentation
- ChatGPT: Official Documentation
- Codeium: Official Documentation
- IntelliCode (Visual Studio): Official Documentation
- Sourcery: Official Documentation
- DeepCode: Official Documentation
- Replit: Official Documentation
- Google Cloud: Official Documentation
- Amazon Q Developer: Official Documentation
Prompt for writing code with AI
If you are not satisfied with coding programs, then you could try a tool that simplifies writing via the Prompt . For example, ChatGPT allows you to write instructions for creating code inside the chat and get a relevant result.
To write quality code you will need to type a precise prompt , describe well the problem you want to solve , and ask the tool to first suggest new options and then review the changes.
Prompt examples
Here are some examples of prompts you can use to guide AI programming tools to generate code or assist you with specific tasks:
- Generate a function : Write a function in Python that calculates the factorial of a positive integer using recursion.
- Solve a specific problem : Create an algorithm in JavaScript that sorts an array of numbers in ascending order using the Bubble Sort sorting algorithm.
- Optimize existing code – Optimize this Python code to compute the sum of prime numbers up to a given bound, improving execution speed.
- Generate a front-end component or framework – Create a React component that displays a list of tasks with the ability to add new ones and mark them as complete.
- Debugging and Identifying Bugs : This JavaScript code returns an error. Find and fix the problem.
- Create a complete script : Write a Python script that reads a CSV file, filters out rows with a value greater than 100 in the price column, and saves the result to a new CSV file.
- Code Documentation : Add comments and documentation to this Python function that calculates the Euclidean distance between two 2D points.
- Develop an API – Build a RESTful API in Node.js with Express that allows users to create, read, update, and delete products in a MongoDB database.
- Writing automated tests : Write a unit test in Jest to verify that the calculateAverage() function correctly calculates the mean of an array of numbers.
Conclusions
Have you tried any of the AI programming tools yet ? Here is a complete summary of the above-mentioned programs:
- GitHub Copilot and Tabnine are great for code completion in various languages and integrate well with many IDEs.
- ChatGPT is versatile but not specifically focused on programming, useful for general assistance.
- Codeium offers a good free version for individual developers, while advanced versions are paid.
- IntelliCode is perfect for Visual Studio users, with quality suggestions based on best practices.
- Sourcery is excellent for automatic refactoring, but is limited to Python.
- DeepCode provides advanced analytics, but is more useful for teams and code security.
- Replit is ideal for real-time collaboration and cloud development, but has some performance limitations.
- Google Cloud and Amazon Q Developer are more geared towards complex projects, with support for machine learning and quantum computing, but with a high cost and learning curve.
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