#CodeGPT

[creatorasad]

Step into the future with these 5 AI tools! 🚀

🌟 Dive into the world of AI tools and unlock endless possibilities! From engaging conversations to stunning visuals, coding assistance to voice recognition, and even musical creativity – there's no limit to what AI can do for you. 🎨✨ Embrace the future of technology and explore these innovative tools today! 💻🗣️🎵

1) Unlock the power of AI!

2) Engage audiences effortlessly.

3) Simplify coding with AI.

4) Create stunning visuals instantly.

5) Revolutionize voice recognition.

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ChatGPT - Conversational AI

Link: https://chat.openai.com

ImageGPT - Visual Creativity

Link: https://chat.openai.com

CodeGPT - Coding Assistant

Link: https://chat.openai.com

VoiceGPT - Voice Recognition

Link: https://chat.openai.com

MusicGPT - Musical Genius

Link: https://chat.openai.com

[dztechs]

ما هو CodeGPT وهل يُمكنه حقًا كتابة التعليمات البرمجية؟

شهد عالم البرمجة تحولاً جذرياً نتيجة التطورات السريعة في مجال الذكاء الاصطناعي. أحد هذه التطورات هو ظهور روبوتات الدردشة المدعومة بالذكاء الاصطناعي، والتي أصبحت محط أنظار المُطورين والمبرمجين حول العالم. إذا كنت تبحث عن مساعد مدعوم بالذكاء الاصطناعي لمساعدتك في كتابة التعليمات البرمجية، فمن المحتمل أنك تعرفت بالفعل على CodeGPT. إنه أحد النماذج العديدة التي تعمل بالذكاء الاصطناعي والذي يُمكنك استخدامه لمساعدتك عند البرمجة. ولكن هل يستطيع CodeGPT كتابة التعليمات البرمجية بالفعل؟ في هذا المقال، سنستعرض بالتفصيل كيفية عمل CodeGPT والمزايا التي يُقدمها لمجتمع المُطورين. كما سنلقي نظرة على كيفية يمكن استخدامه في إنشاء التعليمات البرمجية بشكل فعّال وسريع. سنتناول أيضاً الاستخدامات العملية لهذا النموذج والتحديات التي قد تُواجهها، بالإضافة إلى نصائح حول كيفية الاستفادة القصوى منه. تحقق من بدائل ChatGPT المُتقدمة التي تُوفر إمكانية برمجة التطبيقات تلقائيًا. Read the full article

[leixue]

探索CodeGPT：革新编程领域的AI神器，高效编写规范代码 - 泪雪网

[fromdevcom]

Streamline Python Development with AI-Powered Tools in PyCharm PyCharm, developed by JetBrains, is a top-tier Integrated Development Environment (IDE) for Python. With AI-powered coding assistance, PyCharm can make your coding experience even more efficient and intuitive. From generating boilerplate code to debugging complex issues, AI tools integrate seamlessly into PyCharm to enhance productivity. In this guide, you’ll learn how to enable AI coding assistance in PyCharm for Python, including the best plugins to use, installation steps, and tips for maximizing these tools in your projects. Benefits of AI Assistance in PyCharm Why should you consider enabling AI coding assistance in PyCharm? Here are the key advantages: Faster Coding: AI suggests code completions and reduces repetitive tasks. Error Detection: Identify and fix errors in real-time with intelligent suggestions. Enhanced Readability: AI can automatically generate comments and documentation. Learning Support: Great for beginners seeking guidance on Python syntax and functions. Prerequisites Before enabling AI tools, make sure you have the following: PyCharm Installed: Download the Community or Professional Edition from JetBrains. Python Installed: Ensure Python is installed and configured in PyCharm. JetBrains Account: Some plugins require authentication with a JetBrains account. Step 1: Choose the Right AI Plugin There are several AI-powered plugins compatible with PyCharm. Below are the most popular options for Python developers: GitHub Copilot Uses OpenAI technology to suggest entire code blocks. Ideal for generating Python scripts and boilerplate code. Tabnine Offers contextual code completions based on machine learning. Works seamlessly with Python projects. CodeGPT Integrates OpenAI’s GPT models into PyCharm for code explanations and completions. JetBrains AI Assistant (Beta) JetBrains’ own AI solution offering deep integration and advanced features. Step 2: Install the AI Plugin Let’s use GitHub Copilot as an example for installation: Open PyCharm: Launch PyCharm and go to the Preferences/Settings menu. Navigate to Plugins: In the left-hand menu, click on Plugins. Search for GitHub Copilot: Go to the Marketplace tab and search for "GitHub Copilot". Install the Plugin: Click Install and wait for the installation to complete. Restart PyCharm: Restart the IDE to activate the plugin. Step 3: Configure the Plugin Once the plugin is installed, you need to configure it for Python projects: Open a Python Project: Start a new project or open an existing one. Adjust Plugin Settings: Navigate to Preferences > GitHub Copilot. Enable or disable features such as inline suggestions or auto-complete behavior. Sign In: For GitHub Copilot, log in using your GitHub account to activate the plugin. Test the Configuration: Open a Python script and start typing to see AI-generated suggestions. Step 4: Test AI Coding Assistance With the plugin configured, here’s how you can test its capabilities: Write a Function: Type a function header and let the AI complete it:pythonCopyEditdef calculate_sum(numbers): The AI might suggest:pythonCopyEdit return sum(numbers) Generate Boilerplate Code: Write a comment to describe the desired code:pythonCopyEdit# Create a function to check if a number is prime AI tools like GitHub Copilot or CodeGPT will suggest the full implementation. Debug Existing Code: Paste an error-prone code snippet and let the AI suggest fixes. Troubleshooting Tips Plugin Not Showing Up? Ensure that you’re using the latest version of PyCharm and the plugin. Performance Issues? Allocate more memory to PyCharm or disable unused plugins. Unwanted Suggestions? Adjust the AI plugin’s settings to fine-tune its behavior. Best Practices for AI Assistance in Python Development

Review AI Suggestions: Always validate AI-generated code for accuracy and compliance. Leverage AI for Learning: Use AI to understand unfamiliar Python concepts or libraries. Optimize Settings: Tailor plugin preferences to match your coding style. Integrate with Git: Use AI to generate commit messages and improve collaboration. Conclusion Enabling AI coding assistance in PyCharm can transform your Python development experience. Whether you’re a beginner or an experienced developer, tools like GitHub Copilot, Tabnine, and CodeGPT provide valuable support for writing, debugging, and understanding Python code. By following this guide, you’ll be equipped to integrate AI tools into your workflow and unlock new levels of productivity. Try it today and elevate your Python coding with PyCharm!

[technonews-biz]

Top 5 AIs that speed up your coding

AI-based coding assistants have become an integral part of the development process, they help you generate code, understand code, search for projects and perform various tasks with the help of hints and code. Cloud-based IDE platforms like Google Colab and Deepnote also offer AI-based coding features to help generate code and solve problems.

In this article, we will highlight five AI-powered coding assistants that deserve a closer look. All of them come with VSCode extensions and are easy to customise. Just install them and you can get used to a new, simpler way of programming.

1. GitHub Copilot

GitHub Copilot is an artificial intelligence tool that helps programmers write code more efficiently. By installing the Copilot extension in VS Code, developers will be able to generate and understand code, as well as customise the editor's autocomplete features. Compared to other tools, Copilot is a mature product that provides the most relevant and accurate advice. The new chat feature allows developers to generate, modify and improve code using natural language, even when they are on the go. In addition, the integrated chat allows you to generate code directly in a text editor. The only downside to GitHub Copilot is that it is a paid tool. However, if you're a full-time developer or software engineer, a few dollars a month is a great deal.

2. Codeium

Codeium is a widely known free tool that has recently become popular. It offers most of the features of GitHub Copilot, and the best part is that it's free for personal use. Using Codeium, you can ask a question about a file and it will read it and give you an appropriate answer. You can also ask to rewrite, explain, improve or fix the code. There is also an autocomplete function, but since Codeium's autocomplete is not always accurate, it is recommended that you use the old Python autocomplete function. The only drawback of Codeium is that it doesn't always generate the latest version of the code.

3. Cody

Cody is an artificial intelligence-based code writing assistant designed to increase the speed of writing and understanding code. It offers similar features to Codeium such as chat, commands, code interpretation and auto-complete. It is available in both free and professional versions. I've been using Cody for almost two months now, and it worked very smoothly until I started using it for data science and machine learning projects. Unfortunately, I found that the code it generated was inaccurate because it didn't take context into account. However, based on personal experience with Codeium and Cody, I found that Cody could not understand the code and sometimes produced inaccurate autocomplete suggestions. Therefore, I prefer Codeium over Cody.

4. Code GPT

I recently discovered Code GPT: Chat & AI Agents, which integrates all the latest large-scale language models and offers a number of features that impressed me. This extension offers many features including AI chat support, code interpretation, error checking and auto-complete. This extension is free to use if you have access to the OpenAI API or other platforms. I tested it with Google AI, Anthiopic AI, and the OpenAI API. The Claude 2.1 API is fast, but the accuracy is low. To make it more usable, developers need to reduce autocomplete latency and solve the problem of generating inaccurate responses. One solution is to use Codeium for autocomplete and CodeGPT for code generation and problem solving.

5. Tabnine

Tabnine is an artificial intelligence coding assistant that speeds up and simplifies the software development process. It also ensures code privacy, security and compliance. Tabnine is currently used by over a million developers across industries and has been downloaded 7 million times on VSCode. There is a free version of Tabnine, but it may not be as effective as the Pro version. If you need better coding help, it's worth considering purchasing the Pro version. However, the autocomplete feature in the free version is still fast and accurate. If you want to try Tabnine, you can take advantage of the 90-day trial version. Keep in mind that you will need to enter your payment details to access the trial version.

Summary

Code assistants with artificial intelligence are revolutionising software development by increasing programmers' efficiency and productivity. In this article, we've outlined the top five AI-powered code assistants that we think everyone who struggles with logic, formatting, and testing code should use.

Implementing one or more of these assistants into your workflow will increase productivity, generate and understand code faster, and solve problems faster so you can focus more on coding. Ultimately, these AI assistants will help developers spend less time working on code, which means more time developing great software. Try them out on your next project!

[damilola-moyo]

A FREE AI ASSISTANT using GROQ AND OLLAMA | CodeGPT VSCode Extension

In the ever-evolving landscape of software development, artificial intelligence (AI) has become an invaluable asset for programmers. With AI-powered tools, developers can streamline their workflows, improve productivity, and enhance code quality. In this blog post, we’ll explore how to create a free AI assistant using GROQ and Ollama, and integrate it with the CodeGPT VSCode Extension. This setup…

[vbubkmrks]

Code like a Pro with the CodeGPT AI Copilot

[ai-news]

New among AI code-generating tools, CodeGPT is quickly becoming a favourite among programmers. It’s an add-on for Visual Studio Code that leverages the GPT-3 language model to produce code, translate languages, write content of various types, and an #AI #ML #Automation

[futureailist]

Unlock the Future of Software Development with Code GPT In the rapidl...

[improveyourcodingskills]

How to Write Code with ChatGPT (Easy Guide) | Beebom

[mysocial8onetech]

If you are a developer who wants to use the power of GPT-4 in your coding projects, you might be interested in this blog post: "How to integrate GPT-4 Plugin into Visual Studio code". It will show you how to install and configure the plugin, how to use it for code completion, refactoring, debugging and more. You will also learn some tips and tricks to make the most of GPT-4's capabilities. Check it out

[mysocial8onetech]

Discover how a Microsoft project for academic research outperforms ChatGPT, Alpaca, and Vicuna-7b in the high-difficulty section of the test set. Learn more on our blog post.