Artificial intelligence has been a breakthrough technology. Since its creation, AI has been used in multiple ways to make life more convenient. Generative AI is used from language processing models and chatbots to facial recognition and more, AI has changed the game. For software developers, however, the AI revolution has also given them a brilliant new tool to write code. We explore how AI is developing and some of the free AI code generators you can make use of today. Read the article and tell us which one is the best ai code generator of your choice.

List of 5 Best AI Code Generators in 2023

Generative AI Development Journey

In 1935, Alan Turing’s theoretical work gave birth to the artificial intelligence we see today. Since then, some of the brightest minds have developed and inspired AI advancement. As technology evolved, so did the use of AI.

Modern Generative AI is used in almost every smartphone, application, and device available. Complex algorithms can be used to dictate everything these days - from your, Instagram feeds to your Google search page.

This is done using machine learning algorithms and deep learning processes.

The discoveries and inventions in science are always debated for their end usage. Whether it is the invention of powerloom in the textile industry, or atomic nuclear energy and its usage, or Artificial Intelligence. There are always pros and cons to the usage of scientific inventions. While the use of AI has raised some criticism about how it could be used to imitate academic or artistic work, it is ultimately meant to be an enhancement tool. The same is about AI Code Generator. Now, a number of AI code generators are available, and it also brings a kind of criticism. However, they are just enhancement tool, which makes you more efficient.

AI Code Generator

Code – or source code – is essentially the translator we use to communicate with devices. Writing out code helps us to program or instruct a device or software to fulfill specific tasks.

Code can be written using different computer languages based on the required outcome. Some of these include Python, JavaScript, HTML, Swift, or C. Generating code can be a tedious and complex job for many programmers. AI code generators can help ease that burden.

One of the main concerns brought up frequently in the discussion of AI is that it might someday replace humans. However, these AI tools are meant to assist developers and programmers in their coding tasks.

An AI code generator will assess current code, grammar, and patterns to generate ideas that speed up development. These generators make use of machine-learning models that can provide context-based suggestions for the code.

Best AI Code Generators Today

2023 has been a great year for AI tools and we’ve rounded up 5 of the best free AI code generators available. These open-source projects are ideal for companies starting in web development or app creation.

ChatGPT 4

The release of ChatGPT in November of 2022 took the world by storm. OpenAI’s large language processing model could seamlessly create essays, compose music and so much more in a matter of seconds – including writing code. ChatGPT can be used as one of the best AI Code generators.

The generative AI model can be asked to write out code as needed and can accurately answer questions, fix bugs, and provide suggestions. Tanya Tsui, a researcher, also shared how she used ChatGPT to write Python code for geo-data science.

To add on, users can use this AI code generator free of charge for the most part.

Key Features:

  • Versatile for your entire company’s needs.
  • Supplies context through follow-up questions.
  • Provides options to fix bugs and correct coding errors.

Tabnine

This AI coding assistant was developed by Codot. Tabnine is a code completion tool that uses real-time and intelligent code suggestions to streamline the coding process.

Key Features:

  • Supports C, C++, C#, Go, Java, Javascript, Kotlin.
  • Uses large-scale transformer-based machine learning models to produce longer and more accurate code completions.
  • Increases productivity, reduces time spent coding, and improves code quality.
  • Code linting to identify and suggest fixes for potential errors.

Seek

Seek creates code snippets for various programming tasks. This AI code generator tool assists in writing code for operations like data processing and file manipulation.

Key Features:

  • Integrates with well-known programming environments such as GitHub and Visual Studio Code.
  • Accurate and effective code generation for a variety of languages and frameworks.
  • Provides pre-defined code templates for faster and more efficient code development.
  • Learns and adjusts according to the user’s coding needs.
  • A simpler alternative that’s user-friendly.

AskCodi

This is an AI coding assistant that provides code syntax or suggestions for natural language. Powered by OpenAI Codex, the AskCodi tool can generate code, answer programming questions, and provide helpful code suggestions.

Key Features:

  • Creates lines of code from plain prompts to simplify the coding process – making it ideal for amateurs.
  • Helps with SQL query generation and creating DocStrings.
  • Offers simplified answers.
  • Provides code suggestions to improve efficiency.

Debuild

The Debuild AI code-generating tool provides code snippets and templates to streamline application development.

Key Features:

  • Simplified and low-code platform for beginners.
  • Graphical user interface.
  • Improves efficiency and streamlines app development.
  • Automatically generates SQL code and React components.

While the use of AI in code generation has its perks, it can also come with a few risks as well.

Cybersecurity Risks of Generative AI

Cyber threats have become a growing concern with the advances made in technology. Unfortunately, the same tools created to move us forward can also be used to hurt us. These AI assistants are no different.

Apart from the outcry from writers and artists, AI also can be a threat when generating code. There are multiple ways that generative AI can be a threat.

Some of the security risks associated with the use of OpenAI’s ChatGPT have included:

ChatGPT already made headlines after its release when the chatbot was immediately put to the task of writing out malware. The same accessibility, simplicity, and automation features that were applauded were suddenly ideal for writing malware.

ChatGPT’s ability to write malware sparked instant concern about the future of generative AI technologies.

Brad Hong, a customer success manager with Horizon3ai, shared his thoughts with SecurityIntelligence. He stated that “generative AI technologies are most dangerous to organizations because of their ability to expedite the loops an attacker must go through to find the right code that works with ease.”

While generative AI can be used to make life easier, it can also enable cyber-criminals. For companies to ensure their safety from hackers taking advantage of these tools, it's important to invest in superior cybersecurity measures.

Sangfor is a leading cloud computing and cybersecurity provider. With multiple advanced and integrated products, Sangfor can ensure the best security for your network against cyber threats – whether they’re AI-generated or not.

Sangfor’s Threat Detection and Response tools use automated monitoring, sandboxing, behavioral analysis, and other functions to mitigate various advanced malware.

Additionally, Sangfor’s core cybersecurity products can enhance your company's cybersecurity posture. These include the Next Generation Firewall, Cyber Command NDR Platform, Endpoint Security Solutions, and Internet Access Gateway.

Maintain only the most robust cybersecurity for your network with Sangfor.

For more information on Sangfor’s cyber security and cloud computing solutions, visit www.sangfor.com.

 

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Frequently Asked Questions

Generative AI is a type of AI that can create new content, such as text, images, music, audio, and videos. It uses deep learning algorithms, such as generative adversarial networks, that learn from the data they are trained on and then generate new data that has similar characteristics. Generative AI has many applications, such as creating art, enhancing images, synthesizing speech, and generating code.

AI code generators are software tools that utilize artificial intelligence to generate computer code. These programs allow developers to quickly design and generate lines of code without manually typing in each line.

Some of the best AI code generators are ChatGPT, Tabnine, Seek, AsCodi, Debuild, etc. Other examples include OpenAI Codex, Copilot, AlphaCode, CodeT5, Polycoder, Deepcode, and SourceAI. These tools use different AI models and techniques to generate code in various programming languages from natural language descriptions, public code repositories, or existing code snippets.

The benefits of using AI code generators are that they can save time, improve productivity, enhance creativity, and reduce errors in coding. The challenges of using AI code generators are that they may not always produce accurate or optimal code, they may require human supervision and verification, and they may raise ethical and legal issues regarding the ownership and quality of the generated code.

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