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Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Bernard’s latest books are ‘Future Skills’, ‘The Future Internet’, ‘Business Trends in Practice’ and ‘Generative AI in Practice’.

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Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’

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The 20 Generative AI Coding Tools Every Programmer Should Know About

3 June 2024

It shouldn’t come as any surprise to learn that today’s generative AI large language models (LLMs) like ChatGPT and Google Gemini are just as fluent in Python, Javascript and C++ as they are in English, Spanish or Arabic!

This has a hugely democratizing effect, as it’s no longer necessary to spend a lengthy amount of time learning to code in order to create simple software tools and applications.

But professional programmers are benefiting too – research suggests the majority of developers are now using the ability of generative AI to fix bugs or suggest alternative methods that can make their code faster and more efficient.

So here’s my rundown of the most powerful and popular tools out there, for everyone from experienced coders to complete novices.

Please note that this list focuses on tools that are specifically designed for coding or coding-related tasks. While ChatGPT, Gemini and other general-purpose chatbots are quite capable of creating code, these specialist tools are built around coding-specific user interfaces, or the ability to integrate into development environments.

The 20 Generative AI Coding Tools Every Programmer Should Know About | Bernard Marr

Github Co-Pilot

Co-Pilot is based on OpenAI’s Codex model, which is itself based on the GPT-3 language model. However, it is integrated into a number of popular integrated development environments (IDE), such as Visual Studio Code, meaning that programmers can easily start using it as part of their existing workflow.

Co-Pilot can generate code from scratch, offer auto-complete suggestions, suggest ways of making existing code more efficient, and aid in debugging. It is fluent in Javascript, Python, C++, C#, PHP and many other languages.

Being based on one of the most powerful language models, it distinguishes itself by being great at interpreting complex and detailed natural language prompts and converting them into usable code. However, as a closed-source model, it has been criticized for its lack of transparency, which can sometimes make it difficult for users to understand why it is making mistakes (as all language models will do from time to time!)

Amazon Q Developer

Formerly known as CodeWhisperer, Q Developer is built around Amazon’s proprietary Bedrock model and offers real-time coding suggestions and detailed input and feedback on coding. As part of the AWS ecosystem, it integrates smoothly with Amazon’s other cloud-based tools and platforms, as well as third-party tools and packages. Like Co-pilot, it can read and create code in all of the most commonly used programming languages.

One of its most powerful features is its ability to create autonomous agents, which are essentially unique, personalized AI assistants created to help with specific tasks. They can create and implement testing schedules, automatically refactor code based on best-practice rules, and handle cloud and API integrations.

IBM watsonx Code Assistant

This generative AI coding tool is mainly designed for use by the enterprise clients who make up IBM’s customer base. It is currently offered as two products. One is Watson X Code Assistant for Z, which is made to help with modernizing old or outdated (legacy) applications. For example, it has models developed specifically for translating applications written in older languages like COBOL and running on mainframe systems into more modern languages like Java. The other is Watson Code Assistant for Red Hat Ansible Lightspeed, which assists in writing code for managing and automating the operation of servers, cloud services and other enterprise IT infrastructure.

Code Assistant is built around a fine-tuned 20-billion parameter version of IBM’s Granite LLM, which is specifically trained on enterprise data that will be relevant for its customer use cases, rather than publicly-available online data.

CodeWP

CodeWP stands out from the other tools here because it is tailored specifically for WordPress coding. WordPress is one of the world’s most popular platforms for building websites and is used by web developers of all levels of expertise. Until now, however, accessing its more advanced functionality and in-depth customization has required getting your hands dirty with some coding. Now CodeWP unlocks these functions for everyone by creating the necessary Javascript, PHP or similar code from natural language prompts. Its language model is fine-tuned on WordPress-specific use cases, and it can even create code for popular plugins such as WooCommerce, used by millions of small businesses to sell directly to customers from their websites.

More Generative AI Coding Tools And Platforms

There are many more generative AI tools that are specifically aimed at helping us write better code or automate routine tasks involved in coding. Here's the best of the rest:

AIXCoder

Augments programming abilities by providing intelligent code completion and optimization.

AskCodi

Boosts software development productivity with a suite of features, including code generation, auto-complete and debugging assistance.

Codacy

Automated code review and debugging.

Codecomplete

Edit, analyze and explain code in real-time designed for enterprise clients.

Code Llama

Meta’s AI coding assistant built on a tuned version of its Llama 2 language model, specializing in creating, analyzing and interpreting code.

Codepal

Generate code in many languages through a simple web interface.

CodeSquire

Generative coding aimed at data scientists and analysts is offered through a Chrome extension.

Metabob

Automated code review that analyzes code for errors or bugs and suggests fixes.

Polycoder

Open-source AI code generator developed by Carnegie Mellon University researchers.

Mintlify

Automates the creation of programming documentation.

Mutable

AI-accelerated software development platform with automated test generation.

Replit

A cloud-based integrated development environment (IDE) augmented with generative functionality and collaborative features.

Android Studio With Gemini

Google's Android Studio platform is used to create applications for its mobile OS, and now comes with built-in coding support powered by Gemini.

Tabnine AI Code Assistant

AI assistant for software development with strong security credentials.

Warp

Not a code writer, but a terminal application that offers contextual autosuggestion, error correction and suggestions on specific commands that a user might want to use.

What The Diff

This tool is designed to help with writing pull requests by automatically recognizing changes between different versions of a source code.

Business Trends In Practice | Bernard Marr
Business Trends In Practice | Bernard Marr

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Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity.

He is a best-selling author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations.

He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Bernard’s latest book is ‘Generative AI in Practice’.

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