Compare the Top AI Coding Assistants in Australia as of September 2024 - Page 6

  • 1
    CodeGemma
    CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time.
  • 2
    RoboCoder

    RoboCoder

    RoboCoder

    Turn specs into code with GPT-4 Turbo; RoboCoder makes programming easier. We integrated GPT-4 Turbo with VS Code’s APIs, to allow it to open and edit files. Get a studio-quality maternity photoshoot by taking a few selfies at home, thanks to a powerful image-generating AI. Collaborate with ChatGPT on a plan, then tell it to "get to work." GPT-4 is smart enough to open files, navigate your codebase, and propose a patch using VS Code's diff tool.
  • 3
    Redactive

    Redactive

    Redactive

    Redactive's developer platform removes the specialist data engineering knowledge that developers need to learn, implement, and maintain to build scalable & secure AI-enhanced applications for your customers or productivity use cases for your employees. Built with enterprise security needs in mind so you can focus on getting to production quickly. Don't rebuild your permission models just because you're starting to implement AI in your business. Redactive always respects access controls set by the data source & our data pipeline can be configured to never store your end documents, reducing your risk on downstream technology vendors. Redactive has you covered with pre-built data connectors & reusable authentication flows to connect with an ever-growing list of tools, along with custom connectors and LDAP/IdP provider integrations so you can power your AI use cases no matter your architecture.
  • 4
    Jedi

    Jedi

    Jedi

    Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base for completions, goto or whatever you want to do with Jedi. The counter part of this class is Interpreter, which works with actual dictionaries and can work with a REPL. This class should be used when a user edits code in an editor. Most methods have a line and a column parameter. Lines in Jedi are always 1-based and columns are always zero based. To avoid repetition they are not always documented.
  • 5
    OpenAI Codex
    Proficient in more than a dozen programming languages, Codex can now interpret simple commands in natural language and execute them on the user’s behalf—making it possible to build a natural language interface to existing applications. We are now inviting businesses and developers to build on top of OpenAI Codex through our API. OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB—so it can take into account over 3x as much contextual information while performing any task.
  • 6
    CodeSquire

    CodeSquire

    CodeSquire

    Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.
  • 7
    Stenography

    Stenography

    Stenography

    No need to Google it. Hydrate responses with Stack Overflow Suggestions and documentation from across the web. Extensions, extensions, extensions. Wherever code can be found, Stenography integrates. Stenography uses a passthrough API and does not store code. Your code stays on your system.
  • 8
    CodingBuddy

    CodingBuddy

    CodingBuddy

    CodingBuddy is a revolutionary tool that brings together all the resources you need as a developer, right at your fingertips! Instead of switching between tabs for Git commands, shortcuts, type creation, and more, you can now find it all in one place. And the best part? It's driven by ChatGPT model, making it highly reliable and efficient.
    Starting Price: $0
  • 9
    Imaginary Programming

    Imaginary Programming

    Imaginary Programming

    Imaginary Programming lets you use OpenAI's GPT engine as a runtime to accomplish things you've never been able to do before in your code. All you do is define a function prototype in TypeScript (without an implementation!), and Imaginary Programming uses GPT to take care of the rest. Use Imaginary programming for any task where human-like intelligence around text is needed. You can install imaginary programming into your current JavaScript and TypeScript projects, or you can try the online Playground to experiment with Imaginary Programming.
  • 10
    OverflowAI

    OverflowAI

    Stack Overflow

    OverflowAI is a new platform from Stack Overflow that uses artificial intelligence (AI) to help developers solve problems more efficiently. The platform uses AI to extract valuable information from Stack Overflow's vast database of programming questions and answers. This information can then be used to generate code, content, and creative outputs, as well as to provide developers with personalized recommendations. OverflowAI is still in development, but it has the potential to revolutionize the way developers work. By automating some of the tasks that developers currently do manually, OverflowAI can help developers save time and focus on more creative and strategic work. Here are some of the features of OverflowAI: Instant summarized solutions: OverflowAI can generate instant summaries of Stack Overflow questions and answers, providing developers with a quick and easy way to get the information they need.
  • 11
    Tabby

    Tabby

    Tabby

    Code faster with multi-line and full-function suggestions in real-time. Our model is tuned specifically to your project for maximum quality. Audit the entire Tabby codebase for security or compliance on Github.
  • 12
    GitWit

    GitWit

    GitWit

    GitWit is an online tool to build web apps while augmenting your own coding skills with AI. Regardless of your experience in building apps, you can ship the first version of your app in minutes. Sometimes GitWit will produce code that is out of date or causes an error. In that case, you have several options, undo the transformation, and try again, ask GitWit to fix the error, or fix the code manually, using the editor. This requires experimentation, and there is no way to get it to work.
  • 13
    Driver AI

    Driver AI

    Driver AI

    Traditionally, teams spend millions and wait months (sometimes years) to understand their complex technology infrastructure well enough to build on top of it. Driver AI produces interactive documentation, fueled by LLMs, that explains codebases in minutes vs. months. The documentation is written for both a technical and nontechnical audience, so anyone in the organization can understand it. Product managers go live with new features in days. Software engineers make build vs. buy reports for large codebases in weeks. FAEs complete the board bring-up process in just a few months.
  • 14
    CodeWiz

    CodeWiz

    CodeWiz

    No more wasting time searching for answers on Stack Overflow or other forums. With CodeWiz, you can get help instantly. Chat Directly with AI. Instantly converse with CodeWiz on web framework documentation and receive answers with source references. With CodeWiz's multilingual capabilities, dive into documentation and coding discussions in your preferred language. Every chat, every insight, always saved. With CodeWiz, pick up right where you left off and keep the coding momentum going.
  • 15
    Devin

    Devin

    Cognition AI

    An applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineering teams to strive for more ambitious goals. We’re the makers of Devin, the first AI software engineer. Devin is a tireless, skilled teammate, equally ready to build alongside you or independently complete tasks for you to review. With Devin, engineers can focus on more interesting problems and engineering teams can strive for more ambitious goals. With our advances in long-term reasoning and planning, Devin can plan and execute complex engineering tasks requiring thousands of decisions. Devin can recall relevant context at every step, learn over time, and fix mistakes. We’ve also equipped Devin with common developer tools including the shell, code editor, and browser within a sandboxed compute environment—everything a human would need to do their work. Finally, we’ve given Devin the ability to actively collaborate with the user.
  • 16
    Amazon CodeWhisperer
    Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.