AI technologies are transforming the programming world. Because AI code generator is becoming more accurate, it is only a matter of time before it completely replaces human programmers.
Some may view this negatively, while others believe AI will accelerate the process of writing better code. In this article, we’ll look at some of the AI tools that are currently available to programmers and how they’re influencing how we write code.
OpenAI, Hugging Face, Cohere, and AI21 Labs are among the AI startups pushing the boundaries of LLM by training models with billions of parameters.
AI Code Generator To Help Programmers
Here are AI code generator based on large language models that can generate high-quality code:
1. OpenAI Codex
OpenAI Codex is the GPT-3-based model that powers GitHub Copilot, is one of AI code generator and a GitHub tool for generating code in mainstream development environments such as VS Code, Neovim, JetBrains, and even in the cloud with GitHub Codespaces. It claims to be able to write code in at least a dozen different languages, including JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, and even BASH. The model is trained on billions of lines of publicly available code, such as GitHub repositories.
OpenAI made the model available to developers and platform companies in a private beta for the purpose of developing tools and integration.
2. CodeT5
CodeT5 is an open-source programming language model created by SalesForce researchers. It is built on the T5 (Text-to-Text Transfer Transformer) framework from Google. The team used over 8.35 million instances of code, including user comments, from publicly accessible GitHub repositories to train CodeT5. The vast majority of these datasets were derived from the CodeSearchNet dataset, which includes Ruby, JavaScript, Go, Python, PHP, C, and C#, as well as two BigQuery C and C# datasets.
CodeT5 has the potential to add three capabilities to software development:
- Text-to-code generation: generate code based on the natural language description
- Code autocompletion: complete the whole function of code given the target function name
- Code summarization: generate the summary of a function in natural language description
3. Polycoder
Polycoder is an open-source replacement for OpenAI’s Codex. The model was created by Carnegie Mellon University researchers and is based on OpenAI’s GPT-2, which was trained on a 249 GB codebase written in 12 programming languages. PolyCoder, according to its creators, is capable of writing C with greater accuracy than any other model, including Codex.
While the majority of code generators are proprietary, Polycoder was one of the first open-source code generation models.
2. Tabnine
While Tabnine is not an end-to-end code generator, it enhances the integrated development environment’s (IDE) auto-completion feature. Tabnine, which was created in Rust by Jacob Jackson while a student at the University of Waterloo, has evolved into a full-fledged, AI-based code completion tool.
Tabnine supports over 20 languages and 15 editors, including popular integrated development environments (IDEs) such as VS Code, IntelliJ, Android Studio, and even Vim. It is available for $432 per year for a team of three developers.
5. Cogram
Cogram, a Berlin-based Y-Combinator startup, is a code generation tool for data scientists and Python programmers that uses SQL queries and Jupyter Notebooks. Data scientists can write queries in English, which the tool will convert into complex SQL queries with joins and grouping. SQLite, PostgreSQL, MySQL, and Amazon Redshift are all supported.
Python and Julia developers can use Cogram with Jupyter Notebooks to generate code automatically. Based on the comments, the tool can generate contextual code for a specific task. Data scientists can even create visualizations using popular Python modules like Matplotlib, Plotly, or Seaborn.
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6. GitHub Copilot
Github Copilot is currently the most well-known AI coding assistant. It has many capabilities similar to those of the solutions we previously covered in our roundup of the top AI cocode-generationools for developers in 2022. It is a fully commercial product that is used by many developers all over the world.
7. Kite
Kite is another AI-powered code completion tool that recommends context-sensitive code to speed up coding. When using this tool in conjunction with your code editor, you will need to press 47% fewer keys. It makes use of algorithms that have examined over 25 million files and may provide you with multi-line suggestions as a result.
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FAQs
Is there AI that can write code?
AlphaCode improves on the previous AI code writing standard, Codex, which was released in 2021 by the nonprofit research lab OpenAI.
Can you code AI with C++?
No, C++ is not superior to Python for AI. In fact, Python is widely regarded as the best programming language for artificial intelligence. However, if you need to code in a low-level language or develop high-performance routines, C++ can be used for AI development.
Is Codex OpenAI free?
It excels in Python and is fluent in more than a dozen other languages, including JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, SQL, and even Shell. Codex usage is free during the initial limited beta period.
