5 Code Generation AI tools made for developers

davis meru
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There are many AI tools that a lot of developers are using to assist them as they do their coding. Although Artificial Intelligence can build complete projects, as a developer, you can use AI to generate code snippets and boilerplates instead of coding everything.

Here are the 5 code generations of Artificial Intelligence tools that developers can use, and are using, to assist them as they code.

1.       GPT-3

GPT-3 is an artificial intelligence language model that can generate code based on prompts from natural language. ChatGPT is the most popular GPT-3 powered Artificial Intelligence platform. To use ChatGPT to generate code, just log in to their website, write a text prompt of the piece of code you want to generate, and specify the programming language you want the code to be written in.

Here is an example of a text prompt you can use to generate code using ChatGPT, “Write JavaScript code that changes the background when a button is clicked.” A code snippet for doing that will be generated within seconds.

2.       Codex

Codex was developed by OpenAI, and just like ChatGPT, it is also powered by GPT-3. It is a powerful AI system that can use natural language descriptions to generate code in a variety of programming languages. By using a feature called ‘GutHub Copilot,’ which uses Codex AI, programmers and developers can utilize it to generate pieces of code as they are typing, making the development process a little bit quicker and more efficient. Codex can be used in almost any programming language, but it is best for JavaScript, Python, and Ruby.

3.       DeepCoder

DeepCoder is an artificial intelligence system developed by Microsoft that can solve programming issues by searching through a large database of existing code using a technique called program synthesis. DeepCoder takes several code snippets from the database and combines them to try and solve the coding challenge presented to it. DeepCoder is a project under construction and is not yet fully available for use, although a full release is coming very soon, and it will surely be an important tool for programmers.

4.       Kite

Kite is an AI-powered code completion tool that uses machine learning to predict what you might want to type next and suggest code snippets. To start using Kite, you just have to install the Kite plugin in IDEs (Integrated Development Environments), such as Visual Studio Code, PyCharm, Sublime Text, or any other IDE you use when coding. Kite works by suggesting code snippets by analyzing what the programmer is coding while he types.

5.       TabNine

AI code auto-completion tool TabNine can suggest code snippets based on your code's context. Just like Kite, to start using TabNine, you just have to install their plugin on the IDE you use to code, for example, Visual Studio Code. The only drawback with TabNine is that it's not completely free. To use advanced features, you have to upgrade to a premium subscription. But still, the free subscription is also okay to use.

 Conclusion

These are just a few examples of AI tools that can be used to generate code, including the ones listed here. Artificial intelligence and code generation are constantly developing new tools and technologies. Instead of coding everything from scratch, these AI tools can be very useful in reducing the time used to code everything from scratch.

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