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Query Kitty VS Visual Studio IntelliCode

Compare Query Kitty VS Visual Studio IntelliCode and see what are their differences

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Query Kitty logo Query Kitty

Use ChatGPT & GPT-4 on any website without copy-pasting

Visual Studio IntelliCode logo Visual Studio IntelliCode

Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.
  • Query Kitty Landing page
    Landing page //
    2023-09-04
  • Visual Studio IntelliCode Landing page
    Landing page //
    2023-02-23

Query Kitty features and specs

  • User-Friendly Interface
    Query Kitty offers a clean and intuitive user interface, making it easy for users of all experience levels to navigate and utilize its features efficiently.
  • Wide Range of Data Sources
    The platform supports integration with various data sources, allowing users to import and analyze data from multiple origins seamlessly.
  • Custom Query Capabilities
    Users can create and execute custom queries tailored to their specific needs, providing flexibility and precision in data analysis.
  • Collaboration Features
    Query Kitty facilitates team collaboration through features that allow multiple users to work on queries and datasets simultaneously.

Possible disadvantages of Query Kitty

  • Pricing Structure
    Some users may find the pricing model to be on the higher side, especially for small businesses or individual users with limited budgets.
  • Learning Curve
    While the interface is user-friendly, the depth of features and capabilities might require time for new users to fully master.
  • Limited Offline Support
    Query Kitty primarily relies on an internet connection for full functionality, which could be a limitation for users needing offline access.
  • Feature Overlap
    Some features and capabilities might overlap with existing tools in an organization, potentially leading to redundancy or underutilization.

Visual Studio IntelliCode features and specs

  • Intelligent Code Recommendations
    IntelliCode uses machine learning models trained on open-source GitHub projects to provide contextual code recommendations, helping developers write better code faster.
  • Custom Models for Teams
    Teams can train their own models based on their codebase, enhancing the relevance of IntelliCode's suggestions and ensuring they conform to the team's coding standards and practices.
  • Improved Code Quality
    By suggesting best practices and common code patterns, IntelliCode aids in maintaining high code quality and consistency across projects.
  • Supports Multiple Languages
    IntelliCode supports a wide range of programming languages, including Python, Java, JavaScript, and more, making it versatile for different types of projects.
  • Code Completion and Refactoring Assistance
    It provides intelligent code completions and helps with code refactoring tasks, making the development process more efficient and less error-prone.

Possible disadvantages of Visual Studio IntelliCode

  • Limited Training Data
    The effectiveness of IntelliCode's suggestions depends on the quality and breadth of the training data. For very unique or proprietary codebases, the recommendations may not be as relevant.
  • Dependency on Visual Studio
    IntelliCode is integrated with Visual Studio, so developers using other IDEs might not be able to benefit from its features unless they switch to Visual Studio.
  • Resource Intensive
    Running IntelliCode, especially with custom models, can be resource-intensive, potentially impacting the performance of the development environment.
  • Privacy Concerns
    Using custom models might raise privacy concerns as code from the team’s repository could be used to train the AI, potentially exposing sensitive information.
  • Learning Curve
    There might be a slight learning curve for new users to understand and effectively use the recommendations provided by IntelliCode.

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Visual Studio IntelliCode videos

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Visual Studio IntelliCode

More videos:

  • Review - Visual Studio IntelliCode -- AI meets IntelliSense!

Category Popularity

0-100% (relative to Query Kitty and Visual Studio IntelliCode)

Query Kitty

Visual Studio IntelliCode

AI
29 29%
AI
71% 71
Productivity
100 100%
Productivity
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Communities
100 100%
Communities
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Query Kitty and Visual Studio IntelliCode

Query Kitty Reviews

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Visual Studio IntelliCode Reviews

Top 10 Vercel v0 Open Source Alternatives | Medium
While not entirely open-source, Microsoft’s IntelliCode deserves a mention on this list due to its powerful AI-assisted coding capabilities and integration with popular development tools. IntelliCode uses machine learning to provide intelligent code completions and suggestions.
Source: medium.com
10 Best Github Copilot Alternatives in 2024
Some of the best free GitHub Copilot alternatives are Kite, Codeium, and IntelliCode. These tools offer AI-powered code completions without costing you anything. They help you write code faster and are great options if you’re looking for a Copilot alternative free of charge.
Source: www.geeksforgeeks.org
6 GitHub Copilot Alternatives You Should Know
Visual Studio IntelliCode is an extension for Visual Studio and Visual Studio Code that provides AI-assisted code completions and recommendations. IntelliCode is based on the previous generation of machine learning techniques, so it provides a more basic level of code completion compared to other tools. One of its key features is the ability to learn patterns from the...
Source: swimm.io
Top 10 GitHub Copilot Alternatives
A Microsoft tool exclusively accessible through Visual Studio, IntelliCode is an experimental AI coding assistance trained on a sample of GitHub projects. Your completion list is prioritized by IntelliCode so that the items you’re most likely to utilize are at the front.
Source: hashdork.com
Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)
IntelliCode is an experimental AI coding assistant trained on a subset of GitHub projects, a Microsoft product available for Visual Studio only. One of the more attractive features of IntelliCode is team completion. Team completion may prove beneficial for organizations with a Microsoft-based architecture and developers accustomed to Visual Studio in an age of remote...
Source: www.tabnine.com

Social recommendations and mentions

Based on our record, Visual Studio IntelliCode seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Query Kitty mentions (0)

We have not tracked any mentions of Query Kitty yet. Tracking of Query Kitty recommendations started around Jun 2023.

Visual Studio IntelliCode mentions (11)

  • 🎈5 AI Coding Tools That Will Change the Way You Develop Forever🎇(You Won't Believe #3!)
    IntelliCode is Microsoft’s own AI-powered code completion tool, and it integrates seamlessly with Visual Studio and Visual Studio Code. With IntelliCode, developers get context-aware suggestions based on a vast number of GitHub repositories, allowing them to write more efficient and error-free code. - Source: dev.to / 5 months ago
  • Beware the Mid-Career Crisis for Programmers: The Four Major Causes
    Visual Studio IntelliCode is an intelligent code editor that offers efficient and personalized code completion suggestions based on context and your coding habits, making coding smoother. - Source: dev.to / about 1 year ago
  • 6 AI tool that you should use as a developer
    IntelliCode is a machine learning-powered intelligent code assistant that significantly boosts developer productivity. IntelliCode suggests context-aware code completions by analyzing millions of lines of code from various open-source projects, making coding faster and more efficient. Its advanced algorithms recognize coding patterns and make intelligent suggestions, saving developers time and reducing errors.... - Source: dev.to / almost 2 years ago
  • Rider: Refact vs CoPilot
    OP is referring to IntelliCode. It's a step beyond IntelliSense, but I agree with other posts here: you should be really sure you're not leaking business code this way or implement code from sources you didn't approve yourself. Source: about 2 years ago
  • GitHub Copilot X: The AI-powered developer experience
    You might be thinking of IntelliCode, which was released in 2019. https://visualstudio.microsoft.com/services/intellicode/. - Source: Hacker News / about 2 years ago
View more

What are some alternatives?

When comparing Query Kitty and Visual Studio IntelliCode, you can also consider the following products

100+ Marketing ChatGPT-4 Prompts - Transform your work with GPT-4 and save 100s of hours

GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

And-GPT - Let GPT manipulate your Android phone

Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.

Everyday with GPT-4 - Get the most out of AI daily

Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.

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