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# Enhance Coding Efficiency with AI Assistance

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Chapter 1: The Challenge of Feature Development

When embarking on a new feature, what steps do you take? For instance, how do you send a request to an API to obtain essential data? What is your approach to initializing the client? Which method do you utilize for sending your JSON data, and what is its expected return?

Imagine being able to maximize your IDE's space, write code seamlessly, and have a contextual assistant providing you with high-quality suggestions right at your fingertips.

Initially, your instinct may be to consult the documentation of the library. What follows? You might explore tutorials or modify existing examples. Alternatively, you could visit StackOverflow to search for solutions or gather inspiration.

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Section 1.1: The Pitfalls of Traditional Workflows

However, this method can disrupt your concentration and hinder productivity. Additionally, relying on copy-pasted solutions often leads to a lack of genuine learning and introduces low-quality code into your projects.

Wouldn't it be ideal to fully immerse yourself in your IDE, write code, and have an assistant offering high-caliber suggestions tailored to your context?

Let’s explore how Tabnine, a leading AI code completion tool, brings us closer to achieving this goal.

Tabnine AI Code Assistance

Tabnine: Your Coding Companion

Tabnine is the premier AI-powered code completion tool, supporting over 30 programming languages and trusted by more than a million developers.

Tabnine Interface Overview

The underlying models of Tabnine, primarily based on GPT-2, are trained on high-quality public GitHub repositories. If you opt for the team plan ($24.00 per user/per month), you can also customize and train the models using your own codebase.

Chapter 2: Transforming Coding Practices

Tabnine offers a transformative approach to coding by leveraging its predictions to enhance coding speed, productivity, and adherence to best practices.

In the first video, "I Tried Every AI Coding Assistant," the presenter explores various AI tools and their impact on coding efficiency and quality.

Tabnine is compatible with over 30 programming languages and works with 15 different IDEs, ensuring comprehensive support regardless of your chosen tools. It offers code completion for languages such as Python, JavaScript, TypeScript, Java, Ruby, PHP, Go, C++, and more. Additionally, it's available on popular IDEs like VS Code, IntelliJ, Android Studio, Atom, PyCharm, and Sublime Text.

With Tabnine, you can:

  1. Maintain Focus: Avoid distractions from web searches for solutions, lengthy documentation, or forum threads. Stay immersed in your work environment.
  2. Code More Efficiently: Accessing a wealth of open-source repositories allows you to write code with confidence, eliminating the need to memorize syntax or worry about typographical errors.
  3. Learn Best Practices: By utilizing GPT-2, Tabnine not only predicts code but also shares common coding practices, allowing you to focus on unsolved problems rather than reinventing the wheel.
  4. Ensure Privacy: Your code remains on your local machine, as Tabnine downloads the model to your environment and generates predictions offline if desired.
Tabnine Features Overview

Technical Insights

Tabnine employs deep learning, particularly GPT-2, to facilitate code completion. This language model was trained on a vast corpus of text to predict word sequences and has been adapted to recognize common coding patterns by analyzing quality GitHub repositories.

The most advanced Tabnine models utilize over 380 million parameters, extending GPT-2's capabilities to encompass programming languages. Consequently, Tabnine can forecast the most probable commands based on the context within the same file, integrating both language and semantic models. Regular updates keep Tabnine aligned with evolving patterns in public GitHub repositories and other reliable sources.

Tabnine supports all major programming languages, including JavaScript, Python, TypeScript, PHP, Java, C++, and many others. It also accommodates popular configuration languages and web technologies such as JSON, YAML, TOML, HTML, CSS, and Markdown. Additionally, it offers comment completion, a feature that is often hard to find elsewhere.

In the second video, "Understand Code Instantly With AI Assistant," the narrator demonstrates how AI tools like Tabnine can help developers grasp code structure and functionalities rapidly.

Conclusion: A New Era of Coding

Frequent context switches while coding can severely impact productivity. Ideally, you would maximize your IDE, dive into coding, and benefit from an assistant providing relevant suggestions based on your current work context.

This overview introduced Tabnine, the leading AI code completion tool, which is available in over 30 programming languages and has earned the trust of more than a million developers. By utilizing Tabnine, you can accelerate your coding process, enhance productivity, minimize bugs, and adhere to the best coding practices that define successful open-source projects.

To begin, simply install Tabnine in your IDE or code editor and continue coding as usual! For guidance, you can find instructions for setting up Tabnine on VS Code, as well as a helpful walkthrough created by one of its developers.

About the Author

My name is Dimitris Poulopoulos, and I am a machine learning engineer at Arrikto. I have crafted AI and software solutions for significant clients, including the European Commission, Eurostat, IMF, the European Central Bank, OECD, and IKEA.

If you wish to explore more about Machine Learning, Deep Learning, Data Science, and DataOps, follow me on Medium, LinkedIn, or @james2pl on Twitter. Visit the resources section on my website for recommended books and top-rated courses to kickstart your own Data Science learning journey!

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